>>> py3-scipy: Building community/py3-scipy 1.11.4-r2 (using abuild 3.13.0-r3) started Thu, 25 Apr 2024 02:25:25 +0000 >>> py3-scipy: Checking sanity of /home/buildozer/aports/community/py3-scipy/APKBUILD... >>> py3-scipy: Analyzing dependencies... >>> py3-scipy: Installing for build: build-base py3-pooch py3-numpy cython gfortran openblas-dev py3-gpep517 py3-meson-python py3-numpy-dev py3-numpy-f2py py3-pybind11-dev py3-setuptools py3-wheel python3-dev pythran py3-hypothesis py3-pytest (1/85) Installing libbz2 (1.0.8-r6) (2/85) Installing libffi (3.4.6-r0) (3/85) Installing gdbm (1.23-r1) (4/85) Installing xz-libs (5.6.1-r3) (5/85) Installing mpdecimal (4.0.0-r0) (6/85) Installing libpanelw (6.4_p20240330-r0) (7/85) Installing readline (8.2.10-r0) (8/85) Installing sqlite-libs (3.45.3-r0) (9/85) Installing python3 (3.12.3-r1) (10/85) Installing python3-pycache-pyc0 (3.12.3-r1) (11/85) Installing pyc (3.12.3-r1) (12/85) Installing py3-platformdirs (4.2.0-r1) (13/85) Installing py3-platformdirs-pyc (4.2.0-r1) (14/85) Installing py3-certifi (2024.2.2-r1) (15/85) Installing py3-certifi-pyc (2024.2.2-r1) (16/85) Installing py3-charset-normalizer (3.3.2-r1) (17/85) Installing py3-charset-normalizer-pyc (3.3.2-r1) (18/85) Installing py3-idna (3.7-r0) (19/85) Installing py3-idna-pyc (3.7-r0) (20/85) Installing py3-urllib3 (1.26.18-r1) (21/85) Installing py3-urllib3-pyc (1.26.18-r1) (22/85) Installing py3-requests (2.31.0-r2) (23/85) Installing py3-requests-pyc (2.31.0-r2) (24/85) Installing py3-pooch-pyc (1.8.1-r1) (25/85) Installing py3-parsing (3.1.2-r1) (26/85) Installing py3-parsing-pyc (3.1.2-r1) (27/85) Installing py3-packaging-pyc (24.0-r1) (28/85) Installing python3-pyc (3.12.3-r1) (29/85) Installing py3-packaging (24.0-r1) (30/85) Installing py3-pooch (1.8.1-r1) (31/85) Installing libgfortran (13.2.1_git20240309-r0) (32/85) Installing openblas (0.3.27-r0) (33/85) Installing py3-numpy (1.25.2-r1) (34/85) Installing py3-numpy-pyc (1.25.2-r1) (35/85) Installing cython (3.0.10-r0) (36/85) Installing cython-pyc (3.0.10-r0) (37/85) Installing libquadmath (13.2.1_git20240309-r0) (38/85) Installing gfortran (13.2.1_git20240309-r0) (39/85) Installing liblapack (0.3.27-r0) (40/85) Installing liblapacke (0.3.27-r0) (41/85) Installing openblas-dev (0.3.27-r0) (42/85) Installing py3-installer (0.7.0-r2) (43/85) Installing py3-installer-pyc (0.7.0-r2) (44/85) Installing py3-gpep517 (15-r2) (45/85) Installing py3-gpep517-pyc (15-r2) (46/85) Installing samurai (1.2-r5) (47/85) Installing meson (1.4.0-r2) (48/85) Installing meson-pyc (1.4.0-r2) (49/85) Installing py3-pyproject-metadata (0.7.1-r5) (50/85) Installing py3-pyproject-metadata-pyc (0.7.1-r5) (51/85) Installing py3-meson-python (0.15.0-r1) (52/85) Installing py3-meson-python-pyc (0.15.0-r1) (53/85) Installing py3-numpy-dev (1.25.2-r1) (54/85) Installing python3-dev (3.12.3-r1) (55/85) Installing py3-numpy-f2py (1.25.2-r1) (56/85) Installing py3-pybind11 (2.12.0-r1) (57/85) Installing py3-pybind11-pyc (2.12.0-r1) (58/85) Installing py3-pybind11-dev (2.12.0-r1) (59/85) Installing py3-setuptools (69.5.1-r0) (60/85) Installing py3-setuptools-pyc (69.5.1-r0) (61/85) Installing py3-wheel (0.42.0-r1) (62/85) Installing py3-wheel-pyc (0.42.0-r1) (63/85) Installing py3-gast (0.5.4-r3) (64/85) Installing py3-gast-pyc (0.5.4-r3) (65/85) Installing py3-beniget (0.4.1-r4) (66/85) Installing py3-beniget-pyc (0.4.1-r4) (67/85) Installing py3-ply (3.11-r11) (68/85) Installing py3-ply-pyc (3.11-r11) (69/85) Installing pythran (0.15.0-r1) (70/85) Installing pythran-pyc (0.15.0-r1) (71/85) Installing py3-attrs (23.2.0-r1) (72/85) Installing py3-attrs-pyc (23.2.0-r1) (73/85) Installing py3-sortedcontainers (2.4.0-r5) (74/85) Installing py3-sortedcontainers-pyc (2.4.0-r5) (75/85) Installing py3-hypothesis (6.99.4-r1) (76/85) Installing py3-hypothesis-pyc (6.99.4-r1) (77/85) Installing py3-iniconfig (2.0.0-r1) (78/85) Installing py3-iniconfig-pyc (2.0.0-r1) (79/85) Installing py3-pluggy (1.4.0-r1) (80/85) Installing py3-pluggy-pyc (1.4.0-r1) (81/85) Installing py3-py (1.11.0-r3) (82/85) Installing py3-py-pyc (1.11.0-r3) (83/85) Installing py3-pytest (8.1.1-r1) (84/85) Installing py3-pytest-pyc (8.1.1-r1) (85/85) Installing .makedepends-py3-scipy (20240425.022525) Executing busybox-1.36.1-r25.trigger OK: 750 MiB in 187 packages >>> py3-scipy: Cleaning up srcdir >>> py3-scipy: Cleaning up pkgdir >>> py3-scipy: Cleaning up tmpdir >>> py3-scipy: Fetching https://distfiles.alpinelinux.org/distfiles/v3.20/scipy-1.11.4.tar.gz Connecting to distfiles.alpinelinux.org (172.105.82.32:443) wget: server returned error: HTTP/1.1 404 Not Found >>> py3-scipy: Fetching https://pypi.io/packages/source/s/scipy/scipy-1.11.4.tar.gz Connecting to pypi.io (151.101.0.223:443) Connecting to pypi.org (151.101.192.223:443) Connecting to files.pythonhosted.org (146.75.72.223:443) Connecting to files.pythonhosted.org (146.75.72.223:443) saving to '/var/cache/distfiles/v3.20/scipy-1.11.4.tar.gz.part' scipy-1.11.4.tar.gz. 2% | | 1460k 0:00:36 ETA scipy-1.11.4.tar.gz. 44% |************** | 24.0M 0:00:02 ETA scipy-1.11.4.tar.gz. 91% |***************************** | 49.0M 0:00:00 ETA scipy-1.11.4.tar.gz. 100% |********************************| 53.7M 0:00:00 ETA '/var/cache/distfiles/v3.20/scipy-1.11.4.tar.gz.part' saved >>> py3-scipy: Fetching https://distfiles.alpinelinux.org/distfiles/v3.20/scipy-1.11.4.tar.gz >>> py3-scipy: Checking sha512sums... scipy-1.11.4.tar.gz: OK >>> py3-scipy: Unpacking /var/cache/distfiles/v3.20/scipy-1.11.4.tar.gz... 2024-04-25 02:25:34,891 gpep517 INFO Building wheel via backend mesonpy + meson setup /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4 /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/.mesonpy-93l8o4pr -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/.mesonpy-93l8o4pr/meson-python-native-file.ini The Meson build system Version: 1.4.0 Source dir: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4 Build dir: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/.mesonpy-93l8o4pr Build type: native build Project name: SciPy Project version: 1.11.4 C compiler for the host machine: gcc (gcc 13.2.1 "gcc (Alpine 13.2.1_git20240309) 13.2.1 20240309") C linker for the host machine: gcc ld.bfd 2.42 C++ compiler for the host machine: g++ (gcc 13.2.1 "g++ (Alpine 13.2.1_git20240309) 13.2.1 20240309") C++ linker for the host machine: g++ ld.bfd 2.42 Cython compiler for the host machine: cython (cython 3.0.10) Host machine cpu family: ppc64 Host machine cpu: ppc64le Program python found: YES (/usr/bin/python3) Found pkg-config: YES (/usr/bin/pkg-config) 2.2.0 Run-time dependency python found: YES 3.12 Program cython found: YES (/usr/bin/cython) Compiler for C supports arguments -Wno-unused-but-set-variable: YES Compiler for C supports arguments -Wno-unused-function: YES Compiler for C supports arguments -Wno-conversion: YES Compiler for C supports arguments -Wno-misleading-indentation: YES Library m found: YES Fortran compiler for the host machine: gfortran (gcc 13.2.1 "GNU Fortran (Alpine 13.2.1_git20240309) 13.2.1 20240309") Fortran linker for the host machine: gfortran ld.bfd 2.42 Compiler for Fortran supports arguments -Wno-conversion: YES Checking if "-Wl,--version-script" : links: YES Program pythran found: YES (/usr/bin/pythran) Did not find CMake 'cmake' Found CMake: NO Run-time dependency xsimd found: NO (tried pkgconfig and cmake) Run-time dependency threads found: YES Library npymath found: YES Library npyrandom found: YES Run-time dependency pybind11 found: YES 2.12.0 Run-time dependency openblas found: YES 0.3.27 Dependency openblas found: YES 0.3.27 (cached) Compiler for C supports arguments -Wno-maybe-uninitialized: YES Compiler for C supports arguments -Wno-discarded-qualifiers: YES Compiler for C supports arguments -Wno-empty-body: YES Compiler for C supports arguments -Wno-implicit-function-declaration: YES Compiler for C supports arguments -Wno-parentheses: YES Compiler for C supports arguments -Wno-switch: YES Compiler for C supports arguments -Wno-unused-label: YES Compiler for C supports arguments -Wno-unused-variable: YES Compiler for C supports arguments -Wno-incompatible-pointer-types: YES Compiler for C++ supports arguments -Wno-cpp: YES Compiler for C++ supports arguments -Wno-deprecated-declarations: YES Compiler for C++ supports arguments -Wno-class-memaccess: YES Compiler for C++ supports arguments -Wno-format-truncation: YES Compiler for C++ supports arguments -Wno-non-virtual-dtor: YES Compiler for C++ supports arguments -Wno-sign-compare: YES Compiler for C++ supports arguments -Wno-switch: YES Compiler for C++ supports arguments -Wno-terminate: YES Compiler for C++ supports arguments -Wno-unused-but-set-variable: YES Compiler for C++ supports arguments -Wno-unused-function: YES Compiler for C++ supports arguments -Wno-unused-local-typedefs: YES Compiler for C++ supports arguments -Wno-unused-variable: YES Compiler for C++ supports arguments -Wno-int-in-bool-context: YES Compiler for Fortran supports arguments -Wno-argument-mismatch: YES Compiler for Fortran supports arguments -Wno-conversion: YES (cached) Compiler for Fortran supports arguments -Wno-intrinsic-shadow: YES Compiler for Fortran supports arguments -Wno-maybe-uninitialized: YES Compiler for Fortran supports arguments -Wno-surprising: YES Compiler for Fortran supports arguments -Wno-uninitialized: YES Compiler for Fortran supports arguments -Wno-unused-dummy-argument: YES Compiler for Fortran supports arguments -Wno-unused-label: YES Compiler for Fortran supports arguments -Wno-unused-variable: YES Compiler for Fortran supports arguments -Wno-tabs: YES Compiler for Fortran supports arguments -Wno-argument-mismatch: YES (cached) Compiler for Fortran supports arguments -Wno-conversion: YES (cached) Compiler for Fortran supports arguments -Wno-maybe-uninitialized: YES (cached) Compiler for Fortran supports arguments -Wno-unused-dummy-argument: YES (cached) Compiler for Fortran supports arguments -Wno-unused-label: YES (cached) Compiler for Fortran supports arguments -Wno-unused-variable: YES (cached) Compiler for Fortran supports arguments -Wno-tabs: YES (cached) Checking if "Check atomic builtins without -latomic" : links: YES Configuring __config__.py using configuration Checking for function "open_memstream" : NO Configuring messagestream_config.h using configuration Compiler for Fortran supports arguments -w: YES Checking for size of "void*" : 8 Compiler for C supports arguments -Wno-unused-variable: YES (cached) Compiler for C supports arguments -Wno-parentheses: YES (cached) Compiler for C supports arguments -Wno-unused-label: YES (cached) Compiler for C supports arguments -Wno-implicit-function-declaration: YES (cached) Compiler for C supports arguments -Wno-switch: YES (cached) Compiler for Fortran supports arguments -w: YES (cached) Checking for size of "void*" : 8 (cached) Build targets in project: 257 SciPy 1.11.4 User defined options Native files: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/.mesonpy-93l8o4pr/meson-python-native-file.ini buildtype : release b_ndebug : if-release b_vscrt : md Found ninja-1.9 at /usr/bin/ninja + /usr/bin/ninja [1/1577] Generating scipy/io/_test_fortran_module with a custom command [2/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_interfaces_highs_c_api.cpp.o [3/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_stringutil.cpp.o [4/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HVectorBase.cpp.o [5/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HSet.cpp.o [6/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HighsUtils.cpp.o [7/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HighsSparseMatrix.cpp.o [8/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HighsSort.cpp.o [9/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HighsMatrixUtils.cpp.o [10/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HighsMatrixPic.cpp.o [11/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HighsLinearSumBounds.cpp.o [12/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HighsHash.cpp.o [13/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HFactorUtils.cpp.o [14/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HFactorRefactor.cpp.o [15/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HFactorExtend.cpp.o [16/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HFactorDebug.cpp.o [17/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_util_HFactor.cpp.o [18/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_test_KktCh2.cpp.o [19/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_test_DevKkt.cpp.o [20/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HSimplexReport.cpp.o [21/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HSimplexNlaProductForm.cpp.o [22/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HSimplexNlaFreeze.cpp.o [23/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HSimplexNlaDebug.cpp.o [24/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HSimplexNla.cpp.o [25/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HSimplexDebug.cpp.o [26/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HSimplex.cpp.o [27/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HighsSimplexAnalysis.cpp.o [28/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HEkkInterface.cpp.o [29/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HEkkDualMulti.cpp.o [30/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_simplex_HEkkDualRow.cpp.o [31/1577] Compiling C++ object 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object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_qpsolver_quass.cpp.o [41/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_qpsolver_basis.cpp.o [42/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_presolve_PresolveComponent.cpp.o [43/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_presolve_HPresolve.cpp.o [44/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_presolve_HighsSymmetry.cpp.o [45/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_presolve_HighsPostsolveStack.cpp.o [46/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_presolve_ICrashX.cpp.o [47/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_presolve_ICrashUtil.cpp.o [48/1577] Compiling C++ object scipy/optimize/_highs/libhighs.a.p/.._..__lib_highs_src_presolve_ICrash.cpp.o 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../scipy/optimize/minpack/r1mpyq.f:55:34: 55 | double precision cos,one,sin,temp | ^ Warning: 'sin' may be used uninitialized [-Wmaybe-uninitialized] [198/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_lmstr.f.o [199/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_lmpar.f.o [200/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_lmdif1.f.o [201/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_lmdif.f.o [202/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_lmder1.f.o [203/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_lmder.f.o [204/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_hybrj1.f.o [205/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_hybrj.f.o [206/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_hybrd1.f.o [207/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_hybrd.f.o [208/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_fdjac2.f.o [209/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_fdjac1.f.o [210/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_enorm.f.o [211/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_dpmpar.f.o [212/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_dogleg.f.o [213/1577] Compiling Fortran object scipy/optimize/libminpack.a.p/minpack_chkder.f.o [214/1577] Compiling C object scipy/optimize/_direct.cpython-312-powerpc64le-linux-musl.so.p/_directmodule.c.o [215/1577] Compiling C object scipy/optimize/_direct.cpython-312-powerpc64le-linux-musl.so.p/_direct_DIRsubrout.c.o [216/1577] Compiling C object scipy/optimize/__nnls.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..___nnlsmodule.c.o ../scipy/optimize/minpack/enorm.f:2:37: 2 | *double precision function enorm(n,x) | ^ Warning: '__result_enorm' may be used uninitialized [-Wmaybe-uninitialized] [217/1577] Compiling C object scipy/optimize/_direct.cpython-312-powerpc64le-linux-musl.so.p/_direct_DIRserial.c.o [218/1577] Compiling C object scipy/optimize/_direct.cpython-312-powerpc64le-linux-musl.so.p/_direct_DIRect.c.o [219/1577] Compiling C object scipy/optimize/_cobyla.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__cobylamodule.c.o [220/1577] Compiling C object scipy/optimize/_minpack2.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__minpack2module.c.o [221/1577] Compiling C object scipy/optimize/_direct.cpython-312-powerpc64le-linux-musl.so.p/_direct_direct_wrap.c.o [222/1577] Compiling C object scipy/optimize/_slsqp.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__slsqpmodule.c.o [223/1577] Compiling C object scipy/odr/__odrpack.cpython-312-powerpc64le-linux-musl.so.p/__odrpack.c.o [224/1577] Compiling Fortran object scipy/odr/libodrpack.a.p/odrpack_dlunoc.f.o [225/1577] Compiling C object scipy/optimize/_lbfgsb.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__lbfgsbmodule.c.o [226/1577] Compiling Fortran object scipy/odr/libodrpack.a.p/odrpack_d_odr.f.o [227/1577] Compiling Fortran object scipy/odr/libodrpack.a.p/odrpack_d_mprec.f.o [228/1577] Compiling Fortran object scipy/odr/libodrpack.a.p/odrpack_d_lpk.f.o [229/1577] Compiling C object scipy/ndimage/_ctest.cpython-312-powerpc64le-linux-musl.so.p/src__ctest.c.o [230/1577] Compiling C object scipy/ndimage/_nd_image.cpython-312-powerpc64le-linux-musl.so.p/src_ni_support.c.o [231/1577] Compiling C object scipy/ndimage/_nd_image.cpython-312-powerpc64le-linux-musl.so.p/src_ni_splines.c.o [232/1577] Compiling C object scipy/ndimage/_nd_image.cpython-312-powerpc64le-linux-musl.so.p/src_ni_morphology.c.o [233/1577] Compiling C object scipy/ndimage/_nd_image.cpython-312-powerpc64le-linux-musl.so.p/src_ni_measure.c.o [234/1577] Compiling C object scipy/ndimage/_nd_image.cpython-312-powerpc64le-linux-musl.so.p/src_ni_interpolation.c.o [235/1577] Compiling C object scipy/ndimage/_nd_image.cpython-312-powerpc64le-linux-musl.so.p/src_ni_fourier.c.o [236/1577] Compiling C object scipy/ndimage/_nd_image.cpython-312-powerpc64le-linux-musl.so.p/src_ni_filters.c.o ../scipy/optimize/minpack/lmdif.f:390:44: 390 | if (p1*fnorm1 .ge. fnorm .or. temp .lt. p1) temp = p1 | ^ Warning: 'temp' may be used uninitialized [-Wmaybe-uninitialized] ../scipy/optimize/minpack/lmdif.f:194:31: 194 | * sum,temp,temp1,temp2,xnorm,zero | ^ note: 'temp' was declared here [237/1577] Compiling C object scipy/ndimage/_nd_image.cpython-312-powerpc64le-linux-musl.so.p/src_nd_image.c.o [238/1577] Generating scipy/interpolate/_rbfinterp_pythran with a custom command [239/1577] Generating scipy/interpolate/dfitpack_module with a custom command ../scipy/optimize/minpack/lmder.f:388:44: 388 | if (p1*fnorm1 .ge. fnorm .or. temp .lt. p1) temp = p1 | ^ Warning: 'temp' may be used uninitialized [-Wmaybe-uninitialized] ../scipy/optimize/minpack/lmder.f:190:31: 190 | * sum,temp,temp1,temp2,xnorm,zero | ^ note: 'temp' was declared here [240/1577] Compiling C object scipy/interpolate/_fitpack.cpython-312-powerpc64le-linux-musl.so.p/src__fitpackmodule.c.o [241/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_pardtc.f.o [242/1577] Linking static target scipy/optimize/_highs/libbasiclu.a [243/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_surfit.f.o [244/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_surev.f.o [245/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_sproot.f.o [246/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_splint.f.o [247/1577] Linking static target scipy/optimize/libminpack.a [248/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_splev.f.o [249/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_splder.f.o [250/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_sphere.f.o [251/1577] Linking target scipy/ndimage/_ctest.cpython-312-powerpc64le-linux-musl.so [252/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_spgrid.f.o [253/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_spalde.f.o [254/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_regrid.f.o [255/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_profil.f.o [256/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_polar.f.o [257/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_pogrid.f.o [258/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_percur.f.o [259/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_parsur.f.o [260/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_pardeu.f.o [261/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_parder.f.o [262/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_parcur.f.o [263/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_insert.f.o [264/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fptrpe.f.o [265/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fptrnp.f.o [266/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpsysy.f.o [267/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpsurf.f.o [268/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpsuev.f.o [269/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpsphe.f.o [270/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpspgr.f.o [271/1577] Linking static target scipy/optimize/librectangular_lsap.a [272/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpseno.f.o [273/1577] Linking target scipy/optimize/_lsap.cpython-312-powerpc64le-linux-musl.so [274/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fprpsp.f.o [275/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fprppo.f.o [276/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fprota.f.o [277/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpregr.f.o [278/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fprati.f.o [279/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fprank.f.o [280/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fppola.f.o [281/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fppogr.f.o [282/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fppocu.f.o [283/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpperi.f.o [284/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fppasu.f.o [285/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fppara.f.o [286/1577] Linking target scipy/optimize/_minpack.cpython-312-powerpc64le-linux-musl.so [287/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fporde.f.o [288/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpopsp.f.o [289/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpopdi.f.o [290/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpknot.f.o [291/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpintb.f.o [292/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpinst.f.o [293/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpgrsp.f.o [294/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpgrre.f.o [295/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpgrpa.f.o [296/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpgrdi.f.o [297/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpgivs.f.o [298/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpfrno.f.o [299/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpdisc.f.o [300/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpdeno.f.o [301/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpcyt2.f.o [302/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpcyt1.f.o [303/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpcuro.f.o 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scipy/interpolate/libfitpack_lib.a.p/fitpack_fpbisp.f.o [315/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpbfout.f.o [316/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpbacp.f.o [317/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpback.f.o [318/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpadpo.f.o [319/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpadno.f.o [320/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fpader.f.o [321/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_fourco.f.o [322/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_evapol.f.o [323/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_dblint.f.o [324/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_curfit.f.o [325/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_curev.f.o [326/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_cualde.f.o [327/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_concur.f.o [328/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_concon.f.o [329/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_cocosp.f.o [330/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_clocur.f.o [331/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_bispev.f.o [332/1577] Compiling Fortran object scipy/interpolate/libfitpack_lib.a.p/fitpack_bispeu.f.o [333/1577] Compiling C object scipy/signal/_spline.cpython-312-powerpc64le-linux-musl.so.p/_splinemodule.c.o [334/1577] Generating scipy/signal/_bspline_util with a custom command [335/1577] Generating scipy/signal/_spectral with a custom command [336/1577] Generating scipy/signal/_max_len_seq_inner with a custom command [337/1577] Compiling C object scipy/signal/_sigtools.cpython-312-powerpc64le-linux-musl.so.p/_medianfilter.c.o [338/1577] Compiling C object scipy/signal/_sigtools.cpython-312-powerpc64le-linux-musl.so.p/_firfilter.c.o [339/1577] Compiling C object scipy/signal/_sigtools.cpython-312-powerpc64le-linux-musl.so.p/_sigtoolsmodule.c.o [340/1577] Generating scipy/signal/_correlate_nd with a custom command [341/1577] Generating scipy/signal/_lfilter with a custom command [342/1577] Generating scipy/integrate/_test_odeint_banded_module with a custom command [343/1577] Compiling C object scipy/integrate/_test_multivariate.cpython-312-powerpc64le-linux-musl.so.p/tests__test_multivariate.c.o [344/1577] Generating scipy/integrate/_dop_module with a custom command [345/1577] Generating scipy/integrate/lsoda_module with a custom command [346/1577] Linking target scipy/optimize/_direct.cpython-312-powerpc64le-linux-musl.so [347/1577] Compiling C object scipy/signal/_spline.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__bspline_util.c.o [348/1577] Compiling C object scipy/signal/_sigtools.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__correlate_nd.c.o [349/1577] Generating scipy/integrate/vode_module with a custom command [350/1577] Compiling C object scipy/integrate/_odepack.cpython-312-powerpc64le-linux-musl.so.p/_odepackmodule.c.o [351/1577] Compiling C object scipy/integrate/_quadpack.cpython-312-powerpc64le-linux-musl.so.p/_quadpackmodule.c.o [352/1577] Compiling C object scipy/signal/_sigtools.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__lfilter.c.o [353/1577] Compiling Fortran object scipy/integrate/libdop_lib.a.p/dop_dopri5.f.o [354/1577] Compiling Fortran object scipy/integrate/libdop_lib.a.p/dop_dop853.f.o [355/1577] Linking target scipy/integrate/_test_multivariate.cpython-312-powerpc64le-linux-musl.so [356/1577] Compiling Fortran object scipy/integrate/libvode_lib.a.p/odepack_zvode.f.o [357/1577] Compiling Fortran object scipy/integrate/libvode_lib.a.p/odepack_vode.f.o [358/1577] Compiling Fortran object scipy/integrate/liblsoda_lib.a.p/odepack_xsetun.f.o [359/1577] Compiling Fortran object scipy/integrate/liblsoda_lib.a.p/odepack_xsetf.f.o [360/1577] Compiling Fortran object scipy/integrate/liblsoda_lib.a.p/odepack_xerrwv.f.o [361/1577] Compiling Fortran object scipy/integrate/liblsoda_lib.a.p/odepack_vmnorm.f.o [362/1577] Compiling Fortran object scipy/integrate/liblsoda_lib.a.p/odepack_stoda.f.o [363/1577] Compiling C++ object scipy/optimize/_group_columns.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__group_columns.cpp.o [364/1577] Compiling Fortran object scipy/integrate/liblsoda_lib.a.p/odepack_srcma.f.o [365/1577] Compiling Fortran object scipy/integrate/liblsoda_lib.a.p/odepack_solsy.f.o [366/1577] Compiling Fortran object scipy/integrate/liblsoda_lib.a.p/odepack_prja.f.o [367/1577] Compiling 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scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_hrb.c.o [522/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_hitro.c.o [523/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_hist.c.o [524/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_hinv.c.o [525/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_gibbs.c.o [526/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_empl.c.o [527/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_empk.c.o [528/1577] Linking static target scipy/optimize/_highs/libipx.a [529/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_dstd.c.o [530/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_dss.c.o [531/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_dsrou.c.o [532/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_dgt.c.o [533/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_dext.c.o In file included from /usr/include/c++/13.2.1/powerpc64le-alpine-linux-musl/bits/c++allocator.h:33, from /usr/include/c++/13.2.1/bits/allocator.h:46, from /usr/include/c++/13.2.1/vector:63, from ../scipy/spatial/ckdtree/src/ordered_pair.h:5, from ../scipy/spatial/ckdtree/src/ckdtree_decl.h:19, from ../scipy/spatial/ckdtree/src/build.cxx:1: In member function 'void std::__new_allocator<_Tp>::construct(_Up*, _Args&& ...) [with _Up = ckdtreenode; _Args = {const ckdtreenode&}; _Tp = ckdtreenode]', inlined from 'static void std::allocator_traits >::construct(allocator_type&, _Up*, _Args&& ...) [with _Up = ckdtreenode; _Args = {const ckdtreenode&}; _Tp = ckdtreenode]' at /usr/include/c++/13.2.1/bits/alloc_traits.h:538:17, inlined from 'void std::vector<_Tp, _Alloc>::push_back(const value_type&) [with _Tp = ckdtreenode; _Alloc = std::allocator]' at /usr/include/c++/13.2.1/bits/stl_vector.h:1283:30, inlined from 'npy_intp build(ckdtree*, npy_intp, intptr_t, double*, double*, int, int)' at ../scipy/spatial/ckdtree/src/build.cxx:34:33: /usr/include/c++/13.2.1/bits/new_allocator.h:191:11: warning: 'new_node' may be used uninitialized [-Wmaybe-uninitialized] 191 | { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../scipy/spatial/ckdtree/src/build.cxx: In function 'npy_intp build(ckdtree*, npy_intp, intptr_t, double*, double*, int, int)': ../scipy/spatial/ckdtree/src/build.cxx:28:17: note: 'new_node' declared here 28 | ckdtreenode new_node, *n, *root; | ^~~~~~~~ In file included from /usr/include/c++/13.2.1/vector:66: In member function 'void std::vector<_Tp, _Alloc>::push_back(const value_type&) [with _Tp = ckdtreenode; _Alloc = std::allocator]', inlined from 'npy_intp build(ckdtree*, npy_intp, intptr_t, double*, double*, int, int)' at ../scipy/spatial/ckdtree/src/build.cxx:34:33: /usr/include/c++/13.2.1/bits/stl_vector.h:1289:28: warning: 'new_node' may be used uninitialized [-Wmaybe-uninitialized] 1289 | _M_realloc_insert(end(), __x); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ In file included from /usr/include/c++/13.2.1/vector:72: /usr/include/c++/13.2.1/bits/vector.tcc: In function 'npy_intp build(ckdtree*, npy_intp, intptr_t, double*, double*, int, int)': /usr/include/c++/13.2.1/bits/vector.tcc:445:7: note: by argument 3 of type 'const ckdtreenode&' to 'void std::vector<_Tp, _Alloc>::_M_realloc_insert(iterator, _Args&& ...) [with _Args = {const ckdtreenode&}; _Tp = ckdtreenode; _Alloc = std::allocator]' declared here 445 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ ../scipy/spatial/ckdtree/src/build.cxx:28:17: note: 'new_node' declared here 28 | ckdtreenode new_node, *n, *root; | ^~~~~~~~ [534/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_dau.c.o [535/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_dari.c.o [536/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_cstd.c.o [537/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_cext.c.o [538/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_auto.c.o [539/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_ars.c.o [540/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_methods_arou.c.o [541/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distributions_vc_multistudent.c.o [542/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distributions_vc_multinormal_gen.c.o [543/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distributions_vc_multinormal.c.o [544/1577] Compiling C object 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[599/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distributions_c_F.c.o [600/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_matr.c.o [601/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_distr_info.c.o [602/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_distr.c.o [603/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_discr.c.o [604/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_cxtrans.c.o [605/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_cvemp.c.o [606/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_cvec.c.o [607/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_corder.c.o [608/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_cont.c.o [609/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_condi.c.o [610/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/.._..__lib_unuran_unuran_src_distr_cemp.c.o [611/1577] Compiling C object scipy/stats/_levy_stable/lib_levyst.a.p/c_src_levyst.c.o [612/1577] Generating scipy/stats/_stats_pythran with a custom command [613/1577] Compiling C++ object scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/biasedurn_wnchyppr.cpp.o [614/1577] Compiling C++ object scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/biasedurn_stoc3.cpp.o [615/1577] Compiling C++ object scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/biasedurn_stoc1.cpp.o [616/1577] Compiling C++ object scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/biasedurn_impls.cpp.o [617/1577] Compiling C++ object scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/biasedurn_fnchyppr.cpp.o [618/1577] Generating scipy/stats/mvn_module with a custom command [619/1577] Generating scipy/stats/statlib_module with a custom command [620/1577] Compiling Fortran object scipy/stats/libstatlib_lib.a.p/statlib_swilk.f.o [621/1577] Compiling Fortran object scipy/stats/libstatlib_lib.a.p/statlib_spearman.f.o [622/1577] Compiling Fortran object scipy/stats/libstatlib_lib.a.p/statlib_ansari.f.o [623/1577] Copying file scipy/stats/unuran.pxd [624/1577] Linking static target scipy/stats/_levy_stable/lib_levyst.a [625/1577] Copying file scipy/stats/_biasedurn.pxd [626/1577] Copying file scipy/stats/_stats.pxd [627/1577] Copying file scipy/stats/__init__.py [628/1577] Generating scipy/sparse/linalg/_eigen/arpack/arpack_module with a custom command [629/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_zvout.f.o [630/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_zmout.f.o [631/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_svout.f.o [632/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_smout.f.o [633/1577] Linking target scipy/signal/_spline.cpython-312-powerpc64le-linux-musl.so [634/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_second_NONE.f.o [635/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_ivout.f.o [636/1577] Generating scipy/stats/_stats_gen_pyx with a custom command [637/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_iswap.f.o [638/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_iset.f.o [639/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_icopy.f.o [640/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_icnteq.f.o [641/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_dvout.f.o [642/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_dmout.f.o [643/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_cvout.f.o [644/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_UTIL_cmout.f.o [645/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_zstatn.f.o [646/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_zsortc.f.o [647/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_zngets.f.o [648/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_zneupd.f.o [649/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_zneigh.f.o [650/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_znaupd.f.o [651/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_znaup2.f.o [652/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_znapps.f.o [653/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_znaitr.f.o [654/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_zgetv0.f.o [655/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sstqrb.f.o [656/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sstats.f.o [657/1577] Generating scipy/stats/_dummy_stats_gen_pyx with a custom command [658/1577] Linking static target scipy/stats/libstatlib_lib.a [659/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sstatn.f.o [660/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssortr.f.o [661/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssortc.f.o [662/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssgets.f.o [663/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sseupd.f.o [664/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssesrt.f.o [665/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sseigt.f.o [666/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssconv.f.o [667/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssaupd.f.o [668/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssaup2.f.o [669/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssapps.f.o [670/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_ssaitr.f.o [671/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sngets.f.o [672/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sneupd.f.o [673/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sneigh.f.o [674/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_snconv.f.o [675/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_snaupd.f.o [676/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_snaup2.f.o [677/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_snapps.f.o [678/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_snaitr.f.o [679/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_sgetv0.f.o [680/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dstqrb.f.o [681/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dstats.f.o [682/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dstatn.f.o [683/1577] Compiling C object scipy/stats/_statlib.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__statlibmodule.c.o [684/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsortr.f.o [685/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsortc.f.o [686/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsgets.f.o [687/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dseupd.f.o [688/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsesrt.f.o [689/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dseigt.f.o [690/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsconv.f.o [691/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsaupd.f.o [692/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsaup2.f.o [693/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsapps.f.o [694/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dsaitr.f.o [695/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dngets.f.o [696/1577] Compiling C object scipy/stats/_mvn.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__mvnmodule.c.o [697/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dneupd.f.o [698/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dneigh.f.o [699/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dnconv.f.o [700/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dnaupd.f.o [701/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dnaup2.f.o [702/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dnapps.f.o [703/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dnaitr.f.o [704/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_dgetv0.f.o [705/1577] Linking target scipy/signal/_sigtools.cpython-312-powerpc64le-linux-musl.so [706/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cstatn.f.o [707/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_csortc.f.o [708/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cngets.f.o [709/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cneupd.f.o [710/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cneigh.f.o [711/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cnaupd.f.o [712/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cnaup2.f.o [713/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cnapps.f.o [714/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cnaitr.f.o [715/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/libarpack_lib.a.p/ARPACK_SRC_cgetv0.f.o [716/1577] Compiling C object scipy/sparse/linalg/_dsolve/_superlu.cpython-312-powerpc64le-linux-musl.so.p/_superluobject.c.o [717/1577] Compiling C object scipy/sparse/linalg/_dsolve/_superlu.cpython-312-powerpc64le-linux-musl.so.p/_superlu_utils.c.o [718/1577] Compiling C object scipy/sparse/linalg/_dsolve/_superlu.cpython-312-powerpc64le-linux-musl.so.p/_superlumodule.c.o [719/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zutil.c.o [720/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zsp_blas3.c.o [721/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zsp_blas2.c.o [722/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zsnode_dfs.c.o [723/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zsnode_bmod.c.o [724/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zreadtriple.c.o [725/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zreadrb.c.o [726/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zreadhb.c.o [727/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zpruneL.c.o [728/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zpivotgrowth.c.o [729/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zpivotL.c.o [730/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zpanel_dfs.c.o [731/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zpanel_bmod.c.o [732/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zmyblas2.c.o [733/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zmemory.c.o [734/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zldperm.c.o [735/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zlaqgs.c.o [736/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zlangs.c.o [737/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zlacon2.c.o [738/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zgstrs.c.o [739/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zgstrf.c.o [740/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zgssvx.c.o [741/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zgssv.c.o [742/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zgsrfs.c.o [743/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zgsitrf.c.o [744/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_zgsisx.c.o 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scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_ssp_blas3.c.o [755/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_ssp_blas2.c.o [756/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_ssnode_dfs.c.o [757/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_ssnode_bmod.c.o [758/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_sreadtriple.c.o [759/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_sreadrb.c.o [760/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_sreadhb.c.o [761/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_spruneL.c.o [762/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_spivotgrowth.c.o [763/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_spivotL.c.o 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C object scipy/sparse/linalg/_eigen/arpack/_arpack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__arpackmodule.c.o [888/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_cgssvx.c.o [889/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_cgssv.c.o [890/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_cgsrfs.c.o [891/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_cgsitrf.c.o [892/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_cgsisx.c.o [893/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_cgsequ.c.o [894/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_cgscon.c.o [895/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_cdiagonal.c.o [896/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_ccopy_to_ucol.c.o [897/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_ccolumn_dfs.c.o [898/1577] Compiling C object scipy/sparse/linalg/_dsolve/libsuperlu_lib.a.p/SuperLU_SRC_ccolumn_bmod.c.o [899/1577] Generating scipy/sparse/linalg/_isolve/Util_f_0 with a custom command [900/1577] Generating scipy/sparse/linalg/_isolve/methods_f_5 with a custom command [901/1577] Generating scipy/sparse/linalg/_isolve/methods_f_4 with a custom command [902/1577] Generating scipy/sparse/linalg/_isolve/methods_f_3 with a custom command [903/1577] Generating scipy/sparse/linalg/_isolve/methods_f_2 with a custom command [904/1577] Generating scipy/sparse/linalg/_isolve/methods_f_1 with a custom command [905/1577] Generating scipy/sparse/linalg/_isolve/methods_f_0 with a custom command [906/1577] Generating scipy/sparse/linalg/_isolve/_iterative_module with a custom command [907/1577] Generating scipy/sparse/linalg/_propack/propack_module_zpropack with a custom command [908/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/.._.._..__build_utils_src_wrap_dummy_g77_abi.f.o [909/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zmgs.risc.F.o [910/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zsafescal.F.o [911/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zritzvec.F.o [912/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zreorth.F.o [913/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zlansvd_irl.F.o [914/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zlansvd.F.o [915/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zlanbpro.F.o [916/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zgetu0.F.o [917/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zgemm_ovwr.F.o [918/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_zblasext.F.o [919/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_printstat.F.o [920/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_dgemm_ovwr.F.o [921/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_dbsvd.F.o [922/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__zpropack.a.p/PROPACK_complex16_dblasext.F.o [923/1577] Generating scipy/sparse/linalg/_propack/propack_module_cpropack with a custom command [924/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/.._.._..__build_utils_src_wrap_dummy_g77_abi.f.o [925/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_cmgs.risc.F.o [926/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_sgemm_ovwr.F.o [927/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_sbsvd.F.o [928/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_sblasext.F.o [929/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_printstat.F.o [930/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_csafescal.F.o [931/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_critzvec.F.o [932/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_creorth.F.o [933/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_clansvd_irl.F.o [934/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_clansvd.F.o [935/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_clanbpro.F.o [936/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_cgetu0.F.o [937/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_cgemm_ovwr.F.o [938/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__cpropack.a.p/PROPACK_complex8_cblasext.F.o [939/1577] Generating scipy/sparse/linalg/_propack/propack_module_dpropack with a custom command [940/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/.._.._..__build_utils_src_wrap_dummy_g77_abi.f.o [941/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dmgs.risc.F.o [942/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_printstat.F.o [943/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dsafescal.F.o [944/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dritzvec.F.o [945/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dreorth.F.o [946/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dlansvd_irl.F.o [947/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dlansvd.F.o [948/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dlanbpro.F.o [949/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dgetu0.F.o [950/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dgemm_ovwr.F.o [951/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dbsvd.F.o [952/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__dpropack.a.p/PROPACK_double_dblasext.F.o [953/1577] Generating scipy/sparse/linalg/_propack/propack_module_spropack with a custom command [954/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/.._.._..__build_utils_src_wrap_dummy_g77_abi.f.o [955/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_smgs.risc.F.o [956/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_ssafescal.F.o [957/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_sritzvec.F.o [958/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_sreorth.F.o [959/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_slansvd_irl.F.o [960/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_slansvd.F.o [961/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_slanbpro.F.o [962/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_sgetu0.F.o [963/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_sgemm_ovwr.F.o [964/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_sbsvd.F.o [965/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_sblasext.F.o [966/1577] Compiling Fortran object scipy/sparse/linalg/_propack/liblib__spropack.a.p/PROPACK_single_printstat.F.o [967/1577] Generating scipy/sparse/sparsetools/_sparsetools_headers with a custom command [968/1577] Generating scipy/sparse/_csparsetools_pyx with a custom command [969/1577] Generating scipy/linalg/_matfuncs_expm with a custom command [970/1577] Generating scipy/linalg/_decomp_update with a custom command [971/1577] Generating scipy/linalg/interpolative_module with a custom command [972/1577] Generating scipy/linalg/flinalg_module with a custom command [973/1577] Generating scipy/linalg/flapack_module with a custom command [974/1577] Generating scipy/linalg/fblas_module with a custom command [975/1577] Generating scipy/linalg/cython_linalg with a custom command [976/1577] Copying file scipy/linalg/_cythonized_array_utils.pxd [977/1577] Copying file scipy/linalg/__init__.py [978/1577] Generating scipy/special/_data_local with a custom command [979/1577] Generating scipy/special/_data_gsl with a custom command [980/1577] Compiling C++ object scipy/sparse/sparsetools/_sparsetools.cpython-312-powerpc64le-linux-musl.so.p/sparsetools.cxx.o [981/1577] Compiling C++ object scipy/sparse/sparsetools/_sparsetools.cpython-312-powerpc64le-linux-musl.so.p/other.cxx.o [982/1577] Compiling C++ object scipy/sparse/sparsetools/_sparsetools.cpython-312-powerpc64le-linux-musl.so.p/csr.cxx.o [983/1577] Compiling C++ object scipy/sparse/sparsetools/_sparsetools.cpython-312-powerpc64le-linux-musl.so.p/csc.cxx.o [984/1577] Compiling C++ object scipy/sparse/sparsetools/_sparsetools.cpython-312-powerpc64le-linux-musl.so.p/bsr.cxx.o [985/1577] Generating scipy/special/_data_boost with a custom command [986/1577] Compiling C object scipy/special/_test_internal.cpython-312-powerpc64le-linux-musl.so.p/cephes_dd_real.c.o [987/1577] Compiling C object scipy/special/cython_special.cpython-312-powerpc64le-linux-musl.so.p/sf_error.c.o [988/1577] Compiling C object scipy/special/cython_special.cpython-312-powerpc64le-linux-musl.so.p/specfun_wrappers.c.o [989/1577] Compiling C object scipy/special/cython_special.cpython-312-powerpc64le-linux-musl.so.p/cdf_wrappers.c.o [990/1577] Compiling C object scipy/special/cython_special.cpython-312-powerpc64le-linux-musl.so.p/amos_wrappers.c.o [991/1577] Compiling C object scipy/special/cython_special.cpython-312-powerpc64le-linux-musl.so.p/scaled_exp1.c.o [992/1577] Compiling C object scipy/special/cython_special.cpython-312-powerpc64le-linux-musl.so.p/_cosine.c.o [993/1577] Compiling C object scipy/special/_ellip_harm_2.cpython-312-powerpc64le-linux-musl.so.p/sf_error.c.o [994/1577] Compiling C++ object scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so.p/wright.cc.o [995/1577] Compiling C++ object scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so.p/sf_error.cc.o [996/1577] Compiling C++ object scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so.p/Faddeeva.cc.o [997/1577] Compiling C++ object scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so.p/ellint_carlson_wrap.cxx.o [998/1577] Compiling C++ object scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so.p/_wright.cxx.o [999/1577] Compiling C++ object scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so.p/_faddeeva.cxx.o [1000/1577] Compiling C object scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so.p/sf_error.c.o [1001/1577] Compiling C object scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so.p/specfun_wrappers.c.o [1002/1577] Compiling Fortran object scipy/linalg/libfwrappers.a.p/meson-generated_..__lapack_subroutine_wrappers.f.o [1003/1577] Compiling Fortran object scipy/linalg/libfwrappers.a.p/meson-generated_..__blas_subroutine_wrappers.f.o [1004/1577] Compiling Fortran object scipy/linalg/libfwrappers.a.p/..__build_utils_src_wrap_dummy_g77_abi.f.o [1005/1577] Generating scipy/linalg/_dummy_cython_blas.pxd with a custom command [1006/1577] Compiling C object scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so.p/cdf_wrappers.c.o [1007/1577] Compiling C object scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so.p/amos_wrappers.c.o [1008/1577] Compiling C object scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so.p/scaled_exp1.c.o [1009/1577] Compiling C object scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so.p/_cosine.c.o [1010/1577] Generating scipy/special/cython_special with a custom command [1011/1577] Generating scipy/special/specfun_module with a custom command [1012/1577] Compiling Fortran object scipy/special/libspecfun.a.p/specfun_specfun.f.o [1013/1577] Compiling Fortran object scipy/special/libmach.a.p/mach_xerror.f.o [1014/1577] Compiling Fortran object scipy/special/libmach.a.p/mach_i1mach.f.o [1015/1577] Compiling Fortran object scipy/special/libmach.a.p/mach_d1mach.f.o [1016/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_stvaln.f.o [1017/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_spmpar.f.o [1018/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_rlog1.f.o [1019/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_rlog.f.o [1020/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_rexp.f.o [1021/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_rcomp.f.o [1022/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_psi_fort.f.o [1023/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_ipmpar.f.o [1024/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_gsumln.f.o [1025/1577] Linking static target scipy/special/libmach.a [1026/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_gratio.f.o [1027/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_grat1.f.o [1028/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_gamma_fort.f.o [1029/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_gamln1.f.o [1030/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_gamln.f.o [1031/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_gaminv.f.o [1032/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_gam1.f.o [1033/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_fpser.f.o [1034/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_exparg.f.o [1035/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_esum.f.o [1036/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_erfc1.f.o [1037/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_erf.f.o [1038/1577] Linking static target scipy/sparse/linalg/_propack/liblib__dpropack.a [1039/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_dzror.f.o [1040/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_dt1.f.o [1041/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_dinvr.f.o [1042/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_dinvnr.f.o [1043/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_devlpl.f.o [1044/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumtnc.f.o [1045/1577] Compiling C++ object scipy/stats/_stats_pythran.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__stats_pythran.cpp.o [1046/1577] Linking static target scipy/sparse/linalg/_dsolve/libsuperlu_lib.a [1047/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumt.f.o [1048/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumpoi.f.o [1049/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumnor.f.o [1050/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumnbn.f.o [1051/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumgam.f.o [1052/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumfnc.f.o [1053/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumf.f.o [1054/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumchn.f.o [1055/1577] Linking target scipy/sparse/linalg/_dsolve/_superlu.cpython-312-powerpc64le-linux-musl.so [1056/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumchi.f.o [1057/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumbin.f.o [1058/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cumbet.f.o [1059/1577] Compiling C object scipy/sparse/linalg/_propack/_cpropack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__cpropackmodule.c.o [1060/1577] Linking static target scipy/sparse/linalg/_propack/liblib__spropack.a [1061/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdftnc.f.o [1062/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdft.f.o [1063/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdfpoi.f.o [1064/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdfnor.f.o [1065/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdfnbn.f.o [1066/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdfgam.f.o [1067/1577] Compiling C object scipy/sparse/linalg/_propack/_zpropack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__zpropackmodule.c.o [1068/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdffnc.f.o [1069/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdff.f.o [1070/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdfchn.f.o [1071/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdfchi.f.o [1072/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdfbin.f.o [1073/1577] Linking target scipy/signal/_spectral.cpython-312-powerpc64le-linux-musl.so [1074/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_cdfbet.f.o [1075/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_bup.f.o [1076/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_brcomp.f.o [1077/1577] Linking static target scipy/linalg/libfwrappers.a [1078/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_brcmp1.f.o [1079/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_bratio.f.o [1080/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_bpser.f.o [1081/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_bgrat.f.o [1082/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_bfrac.f.o [1083/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_betaln.f.o [1084/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_bcorr.f.o [1085/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_basym.f.o [1086/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_apser.f.o [1087/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_alnrel.f.o [1088/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_alngam.f.o [1089/1577] Compiling Fortran object scipy/special/libcdflib.a.p/cdflib_algdiv.f.o [1090/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zwrsk.f.o [1091/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zuoik.f.o [1092/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zunk2.f.o [1093/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zunk1.f.o [1094/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zunik.f.o [1095/1577] Compiling C object scipy/sparse/linalg/_propack/_dpropack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__dpropackmodule.c.o [1096/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zuni2.f.o [1097/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zuni1.f.o [1098/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zunhj.f.o [1099/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zuchk.f.o [1100/1577] Generating scipy/special/_dummy_cython_special.pxd with a custom command [1101/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zsqrt.f.o [1102/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zshch.f.o [1103/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zseri.f.o [1104/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zs1s2.f.o [1105/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zrati.f.o [1106/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zmlt.f.o [1107/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zmlri.f.o [1108/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zlog.f.o [1109/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zkscl.f.o [1110/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zexp.f.o [1111/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zdiv.f.o [1112/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbunk.f.o [1113/1577] Compiling C object scipy/sparse/linalg/_propack/_spropack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__spropackmodule.c.o [1114/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbuni.f.o [1115/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbknu.f.o [1116/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbiry.f.o [1117/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbinu.f.o [1118/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbesy.f.o [1119/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbesk.f.o [1120/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbesj.f.o [1121/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbesi.f.o [1122/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zbesh.f.o [1123/1577] Linking static target scipy/special/libcdflib.a [1124/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zasyi.f.o [1125/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zairy.f.o [1126/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zacon.f.o [1127/1577] Linking static target scipy/sparse/linalg/_propack/liblib__zpropack.a [1128/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zacai.f.o [1129/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_zabs.f.o [1130/1577] Compiling Fortran object scipy/special/libamos.a.p/amos_dgamln.f.o [1131/1577] Compiling C object scipy/special/libcephes.a.p/cephes_zetac.c.o [1132/1577] Compiling C object scipy/special/libcephes.a.p/cephes_zeta.c.o [1133/1577] Compiling C object scipy/special/libcephes.a.p/cephes_yv.c.o [1134/1577] Compiling C object scipy/special/libcephes.a.p/cephes_yn.c.o [1135/1577] Compiling C object scipy/special/libcephes.a.p/cephes_unity.c.o [1136/1577] Compiling C object scipy/special/libcephes.a.p/cephes_tukey.c.o [1137/1577] Compiling C object scipy/special/libcephes.a.p/cephes_tandg.c.o [1138/1577] Compiling C object scipy/special/libcephes.a.p/cephes_struve.c.o [1139/1577] Compiling C object scipy/special/libcephes.a.p/cephes_stdtr.c.o [1140/1577] Compiling C object scipy/special/libcephes.a.p/cephes_spence.c.o [1141/1577] Compiling C object scipy/special/libcephes.a.p/cephes_sinpi.c.o [1142/1577] Compiling C object scipy/special/libcephes.a.p/cephes_sindg.c.o [1143/1577] Compiling C object scipy/special/libcephes.a.p/cephes_sici.c.o [1144/1577] Compiling C object scipy/special/libcephes.a.p/cephes_shichi.c.o [1145/1577] Compiling C object scipy/special/libcephes.a.p/cephes_scipy_iv.c.o [1146/1577] Compiling C object scipy/special/libcephes.a.p/cephes_round.c.o [1147/1577] Compiling C object scipy/special/libcephes.a.p/cephes_rgamma.c.o [1148/1577] Compiling C object scipy/special/libcephes.a.p/cephes_psi.c.o [1149/1577] Compiling C object scipy/special/libcephes.a.p/cephes_poch.c.o [1150/1577] Compiling C object scipy/special/libcephes.a.p/cephes_pdtr.c.o [1151/1577] Compiling C object scipy/special/libcephes.a.p/cephes_owens_t.c.o [1152/1577] Linking static target scipy/sparse/linalg/_propack/liblib__cpropack.a [1153/1577] Compiling C object scipy/special/libcephes.a.p/cephes_ndtri.c.o [1154/1577] Compiling C object scipy/special/libcephes.a.p/cephes_ndtr.c.o [1155/1577] Compiling C object scipy/linalg/_flinalg.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__flinalgmodule.c.o [1156/1577] Compiling C object scipy/special/libcephes.a.p/cephes_nbdtr.c.o [1157/1577] Compiling C object scipy/special/libcephes.a.p/cephes_lanczos.c.o [1158/1577] Compiling C object scipy/special/libcephes.a.p/cephes_kolmogorov.c.o [1159/1577] Compiling C object scipy/special/libcephes.a.p/cephes_kn.c.o [1160/1577] Compiling C object scipy/special/libcephes.a.p/cephes_k1.c.o [1161/1577] Compiling C object scipy/special/libcephes.a.p/cephes_k0.c.o [1162/1577] Compiling C object scipy/special/libcephes.a.p/cephes_jv.c.o [1163/1577] Compiling C object scipy/special/libcephes.a.p/cephes_j1.c.o [1164/1577] Compiling C object scipy/special/libcephes.a.p/cephes_j0.c.o [1165/1577] Compiling C object scipy/special/libcephes.a.p/cephes_incbi.c.o [1166/1577] Compiling C object scipy/special/libcephes.a.p/cephes_incbet.c.o [1167/1577] Compiling C object scipy/special/libcephes.a.p/cephes_igami.c.o [1168/1577] Compiling C object scipy/special/libcephes.a.p/cephes_igam.c.o [1169/1577] Compiling C object scipy/special/libcephes.a.p/cephes_i1.c.o [1170/1577] Compiling C object scipy/special/libcephes.a.p/cephes_i0.c.o [1171/1577] Compiling C object scipy/special/libcephes.a.p/cephes_hyperg.c.o [1172/1577] Compiling C object scipy/special/libcephes.a.p/cephes_hyp2f1.c.o [1173/1577] Compiling C object scipy/special/libcephes.a.p/cephes_gdtr.c.o [1174/1577] Compiling C object scipy/special/libcephes.a.p/cephes_gammasgn.c.o [1175/1577] Compiling C object scipy/special/libcephes.a.p/cephes_gamma.c.o [1176/1577] Compiling C object scipy/special/libcephes.a.p/cephes_fresnl.c.o [1177/1577] Compiling C object scipy/special/libcephes.a.p/cephes_fdtr.c.o [1178/1577] Compiling C object scipy/special/libcephes.a.p/cephes_expn.c.o [1179/1577] Linking target scipy/optimize/_group_columns.cpython-312-powerpc64le-linux-musl.so [1180/1577] Compiling C object scipy/special/libcephes.a.p/cephes_exp2.c.o [1181/1577] Compiling C object scipy/special/libcephes.a.p/cephes_exp10.c.o [1182/1577] Compiling C object scipy/special/libcephes.a.p/cephes_erfinv.c.o [1183/1577] Compiling C object scipy/special/libcephes.a.p/cephes_ellpk.c.o [1184/1577] Compiling C object scipy/special/libcephes.a.p/cephes_ellpj.c.o [1185/1577] Compiling C object scipy/special/libcephes.a.p/cephes_ellpe.c.o [1186/1577] Compiling C object scipy/special/libcephes.a.p/cephes_ellik.c.o [1187/1577] Compiling C object scipy/special/libcephes.a.p/cephes_ellie.c.o [1188/1577] Compiling C object scipy/special/libcephes.a.p/cephes_dd_real.c.o [1189/1577] Compiling C object scipy/special/libcephes.a.p/cephes_dawsn.c.o [1190/1577] Compiling C object scipy/special/libcephes.a.p/cephes_const.c.o [1191/1577] Compiling C object scipy/special/libcephes.a.p/cephes_chdtr.c.o [1192/1577] Compiling C object scipy/special/libcephes.a.p/cephes_chbevl.c.o [1193/1577] Linking static target scipy/special/libamos.a [1194/1577] Compiling C object scipy/special/libcephes.a.p/cephes_cbrt.c.o [1195/1577] Compiling C object scipy/special/libcephes.a.p/cephes_btdtr.c.o [1196/1577] Compiling C object scipy/special/libcephes.a.p/cephes_beta.c.o [1197/1577] Compiling C object scipy/special/libcephes.a.p/cephes_besselpoly.c.o [1198/1577] Compiling C object scipy/special/libcephes.a.p/cephes_bdtr.c.o [1199/1577] Compiling C object scipy/special/libcephes.a.p/cephes_airy.c.o [1200/1577] Copying file scipy/special/_ufuncs_extra_code_common.pxi [1201/1577] Copying file scipy/special/_ufuncs_extra_code.pxi [1202/1577] Copying file scipy/special/_cython_special_custom.pxi [1203/1577] Copying file scipy/special/_cython_special.pxi [1204/1577] Copying file scipy/special/sph_harm.pxd [1205/1577] Copying file scipy/special/sf_error.pxd [1206/1577] Copying file scipy/special/orthogonal_eval.pxd [1207/1577] Copying file scipy/special/_xlogy.pxd [1208/1577] Copying file scipy/special/_wright_bessel.pxd [1209/1577] Copying file scipy/special/_trig.pxd [1210/1577] Copying file scipy/special/_spherical_bessel.pxd [1211/1577] Copying file scipy/special/_spence.pxd [1212/1577] Copying file scipy/special/_sici.pxd [1213/1577] Copying file scipy/special/_ndtri_exp.pxd [1214/1577] Copying file scipy/special/_loggamma.pxd [1215/1577] Copying file scipy/special/_legacy.pxd [1216/1577] Copying file scipy/special/_lambertw.pxd [1217/1577] Copying file scipy/special/_hypergeometric.pxd [1218/1577] Copying file scipy/special/_hyp2f1.pxd [1219/1577] Copying file scipy/special/_hyp0f1.pxd [1220/1577] Copying file scipy/special/_factorial.pxd [1221/1577] Copying file scipy/special/_exprel.pxd [1222/1577] Copying file scipy/special/_evalpoly.pxd [1223/1577] Copying file scipy/special/_ellipk.pxd [1224/1577] Copying file scipy/special/_ellip_harm_2.pxd [1225/1577] Copying file scipy/special/_ellip_harm.pxd [1226/1577] Copying file scipy/special/_digamma.pxd [1227/1577] Copying file scipy/special/_cunity.pxd [1228/1577] Copying file scipy/special/_convex_analysis.pxd [1229/1577] Copying file scipy/special/_complexstuff.pxd [1230/1577] Copying file scipy/special/_cephes.pxd [1231/1577] Copying file scipy/special/_boxcox.pxd [1232/1577] Copying file scipy/special/_agm.pxd [1233/1577] Copying file scipy/special/__init__.py [1234/1577] Linking static target scipy/odr/libodrpack.a [1235/1577] Compiling C++ object scipy/_lib/_uarray/_uarray.cpython-312-powerpc64le-linux-musl.so.p/vectorcall.cxx.o [1236/1577] Linking target scipy/odr/__odrpack.cpython-312-powerpc64le-linux-musl.so [1237/1577] Compiling C++ object scipy/_lib/_uarray/_uarray.cpython-312-powerpc64le-linux-musl.so.p/_uarray_dispatch.cxx.o [1238/1577] Compiling C object scipy/_lib/_fpumode.cpython-312-powerpc64le-linux-musl.so.p/_fpumode.c.o [1239/1577] Compiling C object scipy/_lib/_test_ccallback.cpython-312-powerpc64le-linux-musl.so.p/src__test_ccallback.c.o [1240/1577] Copying file scipy/_lib/messagestream.pxd [1241/1577] Copying file scipy/_lib/ccallback.pxd [1242/1577] Copying file scipy/_lib/_ccallback_c.pxd [1243/1577] Copying file scipy/_lib/__init__.py [1244/1577] Copying file scipy/special.pxd [1245/1577] Copying file scipy/optimize.pxd [1246/1577] Copying file scipy/linalg.pxd [1247/1577] Copying file scipy/__init__.py [1248/1577] Generating scipy/generate-version with a custom command [1249/1577] Compiling C object scipy/lib_fortranobject.a.p/57333795eb08438eb40efb78000e50f395e8deb5_site-packages_numpy_f2py_src_fortranobject.c.o [1250/1577] Compiling C object scipy/special/_specfun.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__specfunmodule.c.o [1251/1577] Linking target scipy/_lib/_fpumode.cpython-312-powerpc64le-linux-musl.so [1252/1577] Compiling C object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__iterativemodule.c.o [1253/1577] Generating 'scipy/io/matlab/_mio5_utils.cpython-312-powerpc64le-linux-musl.so.p/_mio5_utils.c' [1254/1577] Generating 'scipy/io/matlab/_mio_utils.cpython-312-powerpc64le-linux-musl.so.p/_mio_utils.c' [1255/1577] Generating 'scipy/io/matlab/_streams.cpython-312-powerpc64le-linux-musl.so.p/_streams.c' [1256/1577] Generating 'scipy/optimize/_highs/_highs_constants.cpython-312-powerpc64le-linux-musl.so.p/_highs_constants.cpp' [1257/1577] Generating 'scipy/optimize/_highs/_highs_wrapper.cpython-312-powerpc64le-linux-musl.so.p/_highs_wrapper.cpp' [1258/1577] Generating 'scipy/optimize/cython_optimize/_zeros.cpython-312-powerpc64le-linux-musl.so.p/_zeros.c' [1259/1577] Generating 'scipy/optimize/_trlib/_trlib.cpython-312-powerpc64le-linux-musl.so.p/_trlib.c' [1260/1577] Generating 'scipy/optimize/_lsq/givens_elimination.cpython-312-powerpc64le-linux-musl.so.p/givens_elimination.c' [1261/1577] Generating 'scipy/optimize/_bglu_dense.cpython-312-powerpc64le-linux-musl.so.p/_bglu_dense.c' [1262/1577] Generating 'scipy/optimize/_moduleTNC.cpython-312-powerpc64le-linux-musl.so.p/_moduleTNC.c' [1263/1577] Generating 'scipy/ndimage/_cytest.cpython-312-powerpc64le-linux-musl.so.p/_cytest.c' [1264/1577] Generating 'scipy/ndimage/_ni_label.cpython-312-powerpc64le-linux-musl.so.p/_ni_label.c' [1265/1577] Generating 'scipy/interpolate/_bspl.cpython-312-powerpc64le-linux-musl.so.p/_bspl.c' [1266/1577] Generating 'scipy/interpolate/_rgi_cython.cpython-312-powerpc64le-linux-musl.so.p/_rgi_cython.c' [1267/1577] Generating 'scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c' [1268/1577] Generating 'scipy/interpolate/interpnd.cpython-312-powerpc64le-linux-musl.so.p/interpnd.c' [1269/1577] Generating 'scipy/signal/_upfirdn_apply.cpython-312-powerpc64le-linux-musl.so.p/_upfirdn_apply.c' [1270/1577] Generating 'scipy/signal/_sosfilt.cpython-312-powerpc64le-linux-musl.so.p/_sosfilt.c' [1271/1577] Generating 'scipy/signal/_peak_finding_utils.cpython-312-powerpc64le-linux-musl.so.p/_peak_finding_utils.c' [1272/1577] Generating 'scipy/fftpack/convolve.cpython-312-powerpc64le-linux-musl.so.p/convolve.c' [1273/1577] Generating 'scipy/cluster/_vq.cpython-312-powerpc64le-linux-musl.so.p/_vq.c' [1274/1577] Generating 'scipy/cluster/_optimal_leaf_ordering.cpython-312-powerpc64le-linux-musl.so.p/_optimal_leaf_ordering.c' [1275/1577] Generating 'scipy/cluster/_hierarchy.cpython-312-powerpc64le-linux-musl.so.p/_hierarchy.c' [1276/1577] Generating 'scipy/spatial/transform/_rotation.cpython-312-powerpc64le-linux-musl.so.p/_rotation.c' [1277/1577] Generating 'scipy/spatial/_hausdorff.cpython-312-powerpc64le-linux-musl.so.p/_hausdorff.c' [1278/1577] Generating 'scipy/spatial/_voronoi.cpython-312-powerpc64le-linux-musl.so.p/_voronoi.c' [1279/1577] Generating 'scipy/spatial/_ckdtree.cpython-312-powerpc64le-linux-musl.so.p/_ckdtree.cpp' [1280/1577] Generating 'scipy/spatial/_qhull.cpython-312-powerpc64le-linux-musl.so.p/_qhull.c' [1281/1577] Generating 'scipy/stats/_rcont/rcont.cpython-312-powerpc64le-linux-musl.so.p/rcont.c' [1282/1577] Generating 'scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/unuran_wrapper.c' [1283/1577] Generating 'scipy/stats/_levy_stable/levyst.cpython-312-powerpc64le-linux-musl.so.p/levyst.c' [1284/1577] Generating 'scipy/stats/_boost/invgauss_ufunc.cpython-312-powerpc64le-linux-musl.so.p/invgauss_ufunc.cpp' [1285/1577] Generating 'scipy/stats/_boost/skewnorm_ufunc.cpython-312-powerpc64le-linux-musl.so.p/skewnorm_ufunc.cpp' [1286/1577] Generating 'scipy/stats/_boost/nct_ufunc.cpython-312-powerpc64le-linux-musl.so.p/nct_ufunc.cpp' [1287/1577] Generating 'scipy/stats/_boost/ncx2_ufunc.cpython-312-powerpc64le-linux-musl.so.p/ncx2_ufunc.cpp' [1288/1577] Generating 'scipy/stats/_boost/ncf_ufunc.cpython-312-powerpc64le-linux-musl.so.p/ncf_ufunc.cpp' [1289/1577] Generating 'scipy/stats/_boost/nbinom_ufunc.cpython-312-powerpc64le-linux-musl.so.p/nbinom_ufunc.cpp' [1290/1577] Linking target scipy/_lib/_test_ccallback.cpython-312-powerpc64le-linux-musl.so [1291/1577] Generating 'scipy/stats/_boost/hypergeom_ufunc.cpython-312-powerpc64le-linux-musl.so.p/hypergeom_ufunc.cpp' [1292/1577] Generating 'scipy/stats/_boost/beta_ufunc.cpython-312-powerpc64le-linux-musl.so.p/beta_ufunc.cpp' [1293/1577] Generating 'scipy/stats/_boost/binom_ufunc.cpython-312-powerpc64le-linux-musl.so.p/binom_ufunc.cpp' [1294/1577] Generating 'scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/_biasedurn.cpp' [1295/1577] Generating 'scipy/stats/_qmc_cy.cpython-312-powerpc64le-linux-musl.so.p/_qmc_cy.cpp' [1296/1577] Linking target scipy/spatial/_distance_wrap.cpython-312-powerpc64le-linux-musl.so [1297/1577] Generating 'scipy/stats/_sobol.cpython-312-powerpc64le-linux-musl.so.p/_sobol.c' [1298/1577] Linking static target scipy/special/libcephes.a [1299/1577] Generating 'scipy/stats/_stats.cpython-312-powerpc64le-linux-musl.so.p/_stats.c' [1300/1577] Linking static target scipy/lib_fortranobject.a [1301/1577] Compiling Fortran object scipy/io/_test_fortran.cpython-312-powerpc64le-linux-musl.so.p/_test_fortran.f.o [1302/1577] Compiling Fortran object scipy/optimize/__nnls.cpython-312-powerpc64le-linux-musl.so.p/__nnls_nnls.f.o [1303/1577] Linking target scipy/io/_test_fortran.cpython-312-powerpc64le-linux-musl.so [1304/1577] Compiling Fortran object scipy/optimize/_slsqp.cpython-312-powerpc64le-linux-musl.so.p/slsqp_slsqp_optmz.f.o [1305/1577] Compiling C object scipy/stats/_levy_stable/levyst.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_levyst.c.o [1306/1577] Compiling C object scipy/optimize/cython_optimize/_zeros.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__zeros.c.o [1307/1577] Compiling C++ object scipy/optimize/_highs/_highs_constants.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__highs_constants.cpp.o [1308/1577] Compiling Fortran object scipy/optimize/_minpack2.cpython-312-powerpc64le-linux-musl.so.p/minpack2_dcstep.f.o [1309/1577] Linking target scipy/optimize/__nnls.cpython-312-powerpc64le-linux-musl.so [1310/1577] Compiling C object scipy/io/matlab/_mio_utils.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__mio_utils.c.o [1311/1577] Compiling Fortran object scipy/optimize/_minpack2.cpython-312-powerpc64le-linux-musl.so.p/minpack2_dcsrch.f.o [1312/1577] Compiling Fortran object scipy/optimize/_cobyla.cpython-312-powerpc64le-linux-musl.so.p/cobyla_trstlp.f.o [1313/1577] Compiling C object scipy/optimize/_moduleTNC.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__moduleTNC.c.o [1314/1577] Compiling C++ object scipy/stats/_boost/skewnorm_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_skewnorm_ufunc.cpp.o [1315/1577] Compiling C++ object scipy/stats/_boost/invgauss_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_invgauss_ufunc.cpp.o [1316/1577] Compiling C++ object scipy/stats/_boost/nbinom_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_nbinom_ufunc.cpp.o [1317/1577] Compiling C++ object scipy/stats/_boost/nct_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_nct_ufunc.cpp.o [1318/1577] Compiling C object scipy/ndimage/_cytest.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__cytest.c.o [1319/1577] Compiling C++ object scipy/stats/_boost/ncx2_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_ncx2_ufunc.cpp.o [1320/1577] Compiling Fortran object scipy/optimize/_cobyla.cpython-312-powerpc64le-linux-musl.so.p/cobyla_cobyla2.f.o [1321/1577] Compiling C++ object scipy/stats/_boost/ncf_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_ncf_ufunc.cpp.o [1322/1577] Compiling C++ object scipy/stats/_boost/hypergeom_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_hypergeom_ufunc.cpp.o [1323/1577] Compiling C++ object scipy/stats/_boost/beta_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_beta_ufunc.cpp.o [1324/1577] Compiling Fortran object scipy/optimize/_lbfgsb.cpython-312-powerpc64le-linux-musl.so.p/lbfgsb_src_timer.f.o [1325/1577] Compiling Fortran object scipy/optimize/_lbfgsb.cpython-312-powerpc64le-linux-musl.so.p/lbfgsb_src_linpack.f.o [1326/1577] Linking target scipy/optimize/_minpack2.cpython-312-powerpc64le-linux-musl.so [1327/1577] Compiling Fortran object scipy/optimize/_lbfgsb.cpython-312-powerpc64le-linux-musl.so.p/lbfgsb_src_lbfgsb.f.o [1328/1577] Compiling C++ object scipy/stats/_boost/binom_ufunc.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_binom_ufunc.cpp.o [1329/1577] Compiling Fortran object scipy/optimize/_lbfgsb.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__lbfgsb-f2pywrappers.f.o [1330/1577] Compiling Fortran object scipy/interpolate/dfitpack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_.._dfitpack-f2pywrappers.f.o warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/io/matlab/_streams.pyx:239:31: noexcept clause is ignored for function returning Python object [1331/1577] Compiling C object scipy/io/matlab/_streams.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__streams.c.o [1332/1577] Linking target scipy/interpolate/dfitpack.cpython-312-powerpc64le-linux-musl.so warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/cluster/_vq.pyx:245:37: noexcept clause is ignored for function returning Python object [1333/1577] Compiling C object scipy/cluster/_vq.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__vq.c.o [1334/1577] Compiling Fortran object scipy/integrate/_test_odeint_banded.cpython-312-powerpc64le-linux-musl.so.p/tests_banded5x5.f.o [1335/1577] Compiling C++ object scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__biasedurn.cpp.o [1336/1577] Compiling C object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__interpolativemodule.c.o [1337/1577] Compiling Fortran object scipy/integrate/_test_odeint_banded.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__test_odeint_banded-f2pywrappers.f.o [1338/1577] Linking target scipy/integrate/_test_odeint_banded.cpython-312-powerpc64le-linux-musl.so [1339/1577] Compiling Fortran object scipy/integrate/_dop.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__dop-f2pywrappers.f.o [1340/1577] Linking target scipy/integrate/_dop.cpython-312-powerpc64le-linux-musl.so [1341/1577] Compiling Fortran object scipy/integrate/_lsoda.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__lsoda-f2pywrappers.f.o [1342/1577] Linking target scipy/integrate/_lsoda.cpython-312-powerpc64le-linux-musl.so [1343/1577] Compiling Fortran object scipy/integrate/_vode.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__vode-f2pywrappers.f.o [1344/1577] Linking target scipy/integrate/_vode.cpython-312-powerpc64le-linux-musl.so [1345/1577] Compiling Fortran object scipy/stats/_mvn.cpython-312-powerpc64le-linux-musl.so.p/mvndst.f.o warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/io/matlab/_mio5_utils.pyx:408:34: noexcept clause is ignored for function returning Python object warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/io/matlab/_mio5_utils.pyx:560:32: noexcept clause is ignored for function returning Python object warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/io/matlab/_mio5_utils.pyx:752:39: noexcept clause is ignored for function returning Python object warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/io/matlab/_mio5_utils.pyx:806:31: noexcept clause is ignored for function returning Python object warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/io/matlab/_mio5_utils.pyx:875:32: noexcept clause is ignored for function returning Python object warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/io/matlab/_mio5_utils.pyx:931:33: noexcept clause is ignored for function returning Python object [1346/1577] Compiling C object scipy/io/matlab/_mio5_utils.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__mio5_utils.c.o [1347/1577] Compiling C object scipy/stats/_rcont/rcont.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_rcont.c.o [1348/1577] Compiling C object scipy/spatial/_voronoi.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__voronoi.c.o [1349/1577] Compiling C object scipy/fftpack/convolve.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_convolve.c.o [1350/1577] Compiling C object scipy/spatial/_hausdorff.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__hausdorff.c.o [1351/1577] Linking target scipy/optimize/_highs/_highs_constants.cpython-312-powerpc64le-linux-musl.so [1352/1577] Compiling Fortran object scipy/stats/_mvn.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__mvn-f2pywrappers.f.o [1353/1577] Compiling Fortran object scipy/stats/_statlib.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__statlib-f2pywrappers.f.o [1354/1577] Compiling C object scipy/optimize/_trlib/_trlib.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__trlib.c.o [1355/1577] Compiling C object scipy/signal/_peak_finding_utils.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__peak_finding_utils.c.o [1356/1577] Compiling C object scipy/cluster/_optimal_leaf_ordering.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__optimal_leaf_ordering.c.o [1357/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/_arpack.cpython-312-powerpc64le-linux-musl.so.p/.._.._.._..__build_utils_src_wrap_dummy_g77_abi.f.o [1358/1577] Linking target scipy/stats/_statlib.cpython-312-powerpc64le-linux-musl.so [1359/1577] Linking target scipy/stats/_levy_stable/levyst.cpython-312-powerpc64le-linux-musl.so [1360/1577] Compiling Fortran object scipy/sparse/linalg/_eigen/arpack/_arpack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__arpack-f2pywrappers.f.o [1361/1577] Compiling Fortran object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/.._.._..__build_utils_src_wrap_dummy_g77_abi.f.o [1362/1577] Compiling Fortran object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_.._getbreak.f.o [1363/1577] Compiling C object scipy/interpolate/_rgi_cython.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__rgi_cython.c.o [1364/1577] Compiling Fortran object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_.._QMRREVCOM.f.o [1365/1577] Linking target scipy/sparse/linalg/_eigen/arpack/_arpack.cpython-312-powerpc64le-linux-musl.so [1366/1577] Linking target scipy/optimize/_slsqp.cpython-312-powerpc64le-linux-musl.so [1367/1577] Compiling Fortran object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_.._GMRESREVCOM.f.o [1368/1577] Compiling Fortran object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_.._CGSREVCOM.f.o [1369/1577] Compiling Fortran object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_.._CGREVCOM.f.o [1370/1577] Linking target scipy/optimize/_cobyla.cpython-312-powerpc64le-linux-musl.so [1371/1577] Compiling C object scipy/signal/_sosfilt.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__sosfilt.c.o [1372/1577] Compiling Fortran object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_.._BiCGSTABREVCOM.f.o [1373/1577] Compiling C object scipy/optimize/_bglu_dense.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__bglu_dense.c.o [1374/1577] Compiling C object scipy/interpolate/interpnd.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_interpnd.c.o warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/optimize/_highs/cython/src/_highs_wrapper.pyx:71:21: noexcept clause is ignored for function returning Python object warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/optimize/_highs/cython/src/_highs_wrapper.pyx:116:18: noexcept clause is ignored for function returning Python object [1375/1577] Compiling C++ object scipy/optimize/_highs/_highs_wrapper.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__highs_wrapper.cpp.o warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/ndimage/src/_ni_label.pyx:200:12: noexcept clause is ignored for function returning Python object [1376/1577] Compiling C object scipy/ndimage/_ni_label.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__ni_label.c.o [1377/1577] Compiling Fortran object scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_.._BiCGREVCOM.f.o [1378/1577] Compiling C object scipy/interpolate/_bspl.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__bspl.c.o [1379/1577] Compiling C++ object scipy/stats/_qmc_cy.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__qmc_cy.cpp.o warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/spatial/_ckdtree.pyx:1627:5: Only extern functions can throw C++ exceptions. [1380/1577] Compiling C++ object scipy/spatial/_ckdtree.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__ckdtree.cpp.o [1381/1577] Compiling Fortran object scipy/sparse/linalg/_propack/_zpropack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__zpropack-f2pywrappers.f.o [1382/1577] Linking target scipy/sparse/linalg/_propack/_zpropack.cpython-312-powerpc64le-linux-musl.so [1383/1577] Linking target scipy/stats/_mvn.cpython-312-powerpc64le-linux-musl.so [1384/1577] Compiling Fortran object scipy/sparse/linalg/_propack/_cpropack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__cpropack-f2pywrappers.f.o [1385/1577] Compiling Fortran object scipy/sparse/linalg/_propack/_dpropack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__dpropack-f2pywrappers.f.o [1386/1577] Linking target scipy/sparse/linalg/_propack/_dpropack.cpython-312-powerpc64le-linux-musl.so [1387/1577] Linking target scipy/sparse/linalg/_propack/_cpropack.cpython-312-powerpc64le-linux-musl.so [1388/1577] Compiling Fortran object scipy/sparse/linalg/_propack/_spropack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__spropack-f2pywrappers.f.o [1389/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_prini.f.o warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/cluster/_hierarchy.pyx:434:35: noexcept clause is ignored for function returning Python object warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/cluster/_hierarchy.pyx:1091:13: noexcept clause is ignored for function returning Python object warning: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/cluster/_hierarchy.pyx:1103:10: noexcept clause is ignored for function returning Python object [1390/1577] Compiling C object scipy/cluster/_hierarchy.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__hierarchy.c.o [1391/1577] Linking target scipy/sparse/linalg/_propack/_spropack.cpython-312-powerpc64le-linux-musl.so [1392/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idzr_rsvd.f.o [1393/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idzr_rid.f.o [1394/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idzr_asvd.f.o [1395/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idzr_aid.f.o [1396/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idzp_rsvd.f.o [1397/1577] Compiling C object scipy/stats/_sobol.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__sobol.c.o [1398/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idzp_rid.f.o [1399/1577] Compiling C object scipy/spatial/transform/_rotation.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__rotation.c.o [1400/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idzp_asvd.f.o [1401/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idzp_aid.f.o [1402/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idz_svd.f.o [1403/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idz_snorm.f.o [1404/1577] Compiling C object scipy/signal/_upfirdn_apply.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__upfirdn_apply.c.o [1405/1577] Linking target scipy/sparse/linalg/_isolve/_iterative.cpython-312-powerpc64le-linux-musl.so [1406/1577] Compiling C object scipy/spatial/_qhull.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__qhull.c.o [1407/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idz_sfft.f.o [1408/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idz_qrpiv.f.o [1409/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idz_id2svd.f.o [1410/1577] Linking target scipy/optimize/_lbfgsb.cpython-312-powerpc64le-linux-musl.so [1411/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idz_id.f.o [1412/1577] Linking target scipy/io/matlab/_mio_utils.cpython-312-powerpc64le-linux-musl.so [1413/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idz_house.f.o [1414/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idz_frm.f.o [1415/1577] Compiling C object scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_unuran_wrapper.c.o [1416/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_iddr_rsvd.f.o [1417/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_iddr_rid.f.o [1418/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_iddr_asvd.f.o [1419/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_iddr_aid.f.o [1420/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_iddp_rsvd.f.o [1421/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_iddp_rid.f.o [1422/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_iddp_asvd.f.o [1423/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_iddp_aid.f.o [1424/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idd_svd.f.o [1425/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idd_snorm.f.o [1426/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idd_sfft.f.o [1427/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idd_qrpiv.f.o [1428/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idd_id2svd.f.o [1429/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idd_id.f.o [1430/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idd_house.f.o [1431/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_idd_frm.f.o [1432/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_id_rtrans.f.o [1433/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_id_rand.f.o [1434/1577] Compiling Fortran object scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so.p/src_id_dist_src_dfft.f.o [1435/1577] Compiling Fortran object scipy/linalg/_flinalg.cpython-312-powerpc64le-linux-musl.so.p/src_lu.f.o [1436/1577] Compiling C object scipy/optimize/_lsq/givens_elimination.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_givens_elimination.c.o [1437/1577] Compiling Fortran object scipy/linalg/_flinalg.cpython-312-powerpc64le-linux-musl.so.p/src_det.f.o [1438/1577] Compiling Fortran object scipy/linalg/_flapack.cpython-312-powerpc64le-linux-musl.so.p/..__build_utils_src_wrap_dummy_g77_abi.f.o [1439/1577] Compiling Fortran object scipy/linalg/_fblas.cpython-312-powerpc64le-linux-musl.so.p/..__build_utils_src_wrap_dummy_g77_abi.f.o [1440/1577] Generating 'scipy/sparse/csgraph/_traversal.cpython-312-powerpc64le-linux-musl.so.p/_traversal.c' [1441/1577] Generating 'scipy/sparse/csgraph/_tools.cpython-312-powerpc64le-linux-musl.so.p/_tools.c' [1442/1577] Generating 'scipy/sparse/csgraph/_shortest_path.cpython-312-powerpc64le-linux-musl.so.p/_shortest_path.c' [1443/1577] Generating 'scipy/sparse/csgraph/_reordering.cpython-312-powerpc64le-linux-musl.so.p/_reordering.c' [1444/1577] Generating 'scipy/sparse/csgraph/_min_spanning_tree.cpython-312-powerpc64le-linux-musl.so.p/_min_spanning_tree.c' [1445/1577] Generating 'scipy/sparse/csgraph/_matching.cpython-312-powerpc64le-linux-musl.so.p/_matching.c' [1446/1577] Linking target scipy/linalg/_flinalg.cpython-312-powerpc64le-linux-musl.so [1447/1577] Generating 'scipy/sparse/csgraph/_flow.cpython-312-powerpc64le-linux-musl.so.p/_flow.c' [1448/1577] Generating 'scipy/sparse/_csparsetools.cpython-312-powerpc64le-linux-musl.so.p/_csparsetools.c' [1449/1577] Linking target scipy/_lib/_uarray/_uarray.cpython-312-powerpc64le-linux-musl.so [1450/1577] Generating 'scipy/linalg/_cythonized_array_utils.cpython-312-powerpc64le-linux-musl.so.p/_cythonized_array_utils.c' [1451/1577] Linking target scipy/ndimage/_cytest.cpython-312-powerpc64le-linux-musl.so [1452/1577] Generating 'scipy/linalg/_matfuncs_expm.cpython-312-powerpc64le-linux-musl.so.p/_matfuncs_expm.c' [1453/1577] Generating 'scipy/linalg/_decomp_update.cpython-312-powerpc64le-linux-musl.so.p/_decomp_update.c' [1454/1577] Linking target scipy/optimize/cython_optimize/_zeros.cpython-312-powerpc64le-linux-musl.so [1455/1577] Generating 'scipy/linalg/_decomp_lu_cython.cpython-312-powerpc64le-linux-musl.so.p/_decomp_lu_cython.c' performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/stats/_stats.pxd:2:28: No exception value declared for '_geninvgauss_pdf' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/stats/_stats.pxd:8:30: No exception value declared for '_genhyperbolic_pdf' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/stats/_stats.pxd:9:33: No exception value declared for '_genhyperbolic_logpdf' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/stats/_stats.pyx:504:14: Exception check after calling '__pyx_fuse_1kve' will always require the GIL to be acquired. Possible solutions: 1. Declare '__pyx_fuse_1kve' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Declare any exception value explicitly for functions in pxd files. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/stats/_stats.pyx:684:24: Exception check after calling '__pyx_fuse_1kve' will always require the GIL to be acquired. Possible solutions: 1. Declare '__pyx_fuse_1kve' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Declare any exception value explicitly for functions in pxd files. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/stats/_stats.pyx:698:24: Exception check after calling '__pyx_fuse_1kve' will always require the GIL to be acquired. Possible solutions: 1. Declare '__pyx_fuse_1kve' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Declare any exception value explicitly for functions in pxd files. [1456/1577] Compiling C object scipy/stats/_stats.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__stats.c.o [1457/1577] Generating 'scipy/linalg/cython_lapack.cpython-312-powerpc64le-linux-musl.so.p/cython_lapack.c' [1458/1577] Compiling Fortran object scipy/linalg/_fblas.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__fblas-f2pywrappers.f.o [1459/1577] Compiling C object scipy/sparse/csgraph/_tools.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__tools.c.o [1460/1577] Compiling C object scipy/linalg/_fblas.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__fblasmodule.c.o [1461/1577] Compiling C object scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__ppoly.c.o [1462/1577] Linking target scipy/stats/_boost/skewnorm_ufunc.cpython-312-powerpc64le-linux-musl.so [1463/1577] Generating 'scipy/linalg/cython_blas.cpython-312-powerpc64le-linux-musl.so.p/cython_blas.c' [1464/1577] Linking target scipy/stats/_boost/hypergeom_ufunc.cpython-312-powerpc64le-linux-musl.so [1465/1577] Compiling C object scipy/sparse/csgraph/_reordering.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__reordering.c.o [1466/1577] Generating 'scipy/linalg/_matfuncs_sqrtm_triu.cpython-312-powerpc64le-linux-musl.so.p/_matfuncs_sqrtm_triu.c' [1467/1577] Compiling C object scipy/sparse/csgraph/_min_spanning_tree.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__min_spanning_tree.c.o [1468/1577] Linking target scipy/cluster/_vq.cpython-312-powerpc64le-linux-musl.so [1469/1577] Generating 'scipy/linalg/_solve_toeplitz.cpython-312-powerpc64le-linux-musl.so.p/_solve_toeplitz.c' [1470/1577] Linking target scipy/optimize/_moduleTNC.cpython-312-powerpc64le-linux-musl.so [1471/1577] Generating 'scipy/special/_test_internal.cpython-312-powerpc64le-linux-musl.so.p/_test_internal.c' [1472/1577] Compiling C object scipy/sparse/csgraph/_matching.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__matching.c.o [1473/1577] Compiling C object scipy/sparse/csgraph/_flow.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__flow.c.o [1474/1577] Compiling C object scipy/sparse/csgraph/_traversal.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__traversal.c.o [1475/1577] Linking target scipy/io/matlab/_streams.cpython-312-powerpc64le-linux-musl.so [1476/1577] Compiling C object scipy/sparse/csgraph/_shortest_path.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__shortest_path.c.o [1477/1577] Generating 'scipy/special/_comb.cpython-312-powerpc64le-linux-musl.so.p/_comb.c' [1478/1577] Linking target scipy/stats/_boost/ncf_ufunc.cpython-312-powerpc64le-linux-musl.so [1479/1577] Generating 'scipy/special/cython_special.cpython-312-powerpc64le-linux-musl.so.p/cython_special.c' scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/_biasedurn.cpp: In function 'PyObject* __Pyx_Import(PyObject*, PyObject*, int)': scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so.p/_biasedurn.cpp:12757:48: warning: comparing the result of pointer addition '(((const char*)"scipy.stats._biasedurn") + 5)' and NULL [-Waddress] 12757 | if (strchr(__Pyx_MODULE_NAME, '.') != NULL) { | ^ [1480/1577] Linking target scipy/stats/_biasedurn.cpython-312-powerpc64le-linux-musl.so [1481/1577] Generating 'scipy/special/_ellip_harm_2.cpython-312-powerpc64le-linux-musl.so.p/_ellip_harm_2.c' [1482/1577] Linking target scipy/stats/_boost/nbinom_ufunc.cpython-312-powerpc64le-linux-musl.so [1483/1577] Generating 'scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so.p/_ufuncs_cxx.cpp' [1484/1577] Compiling C object scipy/special/_comb.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__comb.c.o [1485/1577] Linking target scipy/stats/_boost/invgauss_ufunc.cpython-312-powerpc64le-linux-musl.so [1486/1577] Generating 'scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so.p/_ufuncs.c' [1487/1577] Linking target scipy/stats/_boost/ncx2_ufunc.cpython-312-powerpc64le-linux-musl.so [1488/1577] Generating 'scipy/_lib/messagestream.cpython-312-powerpc64le-linux-musl.so.p/messagestream.c' [1489/1577] Compiling C object scipy/linalg/_matfuncs_sqrtm_triu.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__matfuncs_sqrtm_triu.c.o [1490/1577] Linking target scipy/stats/_stats_pythran.cpython-312-powerpc64le-linux-musl.so [1491/1577] Compiling C object scipy/sparse/_csparsetools.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__csparsetools.c.o [1492/1577] Compiling C object scipy/special/_test_internal.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__test_internal.c.o [1493/1577] Generating 'scipy/_lib/_test_deprecation_def.cpython-312-powerpc64le-linux-musl.so.p/_test_deprecation_def.c' [1494/1577] Linking target scipy/stats/_boost/binom_ufunc.cpython-312-powerpc64le-linux-musl.so [1495/1577] Generating 'scipy/_lib/_test_deprecation_call.cpython-312-powerpc64le-linux-musl.so.p/_test_deprecation_call.c' [1496/1577] Linking target scipy/stats/_boost/beta_ufunc.cpython-312-powerpc64le-linux-musl.so [1497/1577] Generating 'scipy/_lib/_ccallback_c.cpython-312-powerpc64le-linux-musl.so.p/_ccallback_c.c' [1498/1577] Compiling C object scipy/linalg/_solve_toeplitz.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__solve_toeplitz.c.o [1499/1577] Linking target scipy/stats/_boost/nct_ufunc.cpython-312-powerpc64le-linux-musl.so [1500/1577] Compiling C object scipy/linalg/cython_blas.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_cython_blas.c.o [1501/1577] Linking static target scipy/optimize/_highs/libhighs.a [1502/1577] Linking target scipy/linalg/_interpolative.cpython-312-powerpc64le-linux-musl.so [1503/1577] Compiling C object scipy/_lib/_test_deprecation_call.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__test_deprecation_call.c.o [1504/1577] Compiling C object scipy/_lib/_test_deprecation_def.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__test_deprecation_def.c.o [1505/1577] Compiling C++ object scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__ufuncs_cxx.cpp.o [1506/1577] Compiling C object scipy/special/_ellip_harm_2.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__ellip_harm_2.c.o [1507/1577] Compiling C object scipy/_lib/messagestream.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_messagestream.c.o [1508/1577] Compiling C object scipy/linalg/_decomp_lu_cython.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__decomp_lu_cython.c.o [1509/1577] Linking target scipy/special/_comb.cpython-312-powerpc64le-linux-musl.so performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/_lib/_ccallback_c.pxd:5:24: No exception value declared for 'plus1_cython' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/_lib/_ccallback_c.pxd:6:25: No exception value declared for 'plus1b_cython' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/_lib/_ccallback_c.pxd:7:26: No exception value declared for 'plus1bc_cython' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/_lib/_ccallback_c.pxd:9:16: No exception value declared for 'sine' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/_lib/_ccallback_c.pyx:145:82: Exception check after calling function will always require the GIL to be acquired. Declare the function you are calling as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: /home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/scipy/_lib/_ccallback_c.pyx:148:90: Exception check after calling function will always require the GIL to be acquired. Declare the function you are calling as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. [1510/1577] Compiling C object scipy/_lib/_ccallback_c.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__ccallback_c.c.o [1511/1577] Linking target scipy/_lib/_test_deprecation_def.cpython-312-powerpc64le-linux-musl.so [1512/1577] Linking target scipy/_lib/_test_deprecation_call.cpython-312-powerpc64le-linux-musl.so [1513/1577] Compiling C object scipy/linalg/_cythonized_array_utils.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__cythonized_array_utils.c.o warning: scipy/linalg/_matfuncs_expm.pyx:91:26: noexcept clause is ignored for function returning Python object warning: scipy/linalg/_matfuncs_expm.pyx:203:26: noexcept clause is ignored for function returning Python object warning: scipy/linalg/_matfuncs_expm.pyx:315:26: noexcept clause is ignored for function returning Python object warning: scipy/linalg/_matfuncs_expm.pyx:427:26: noexcept clause is ignored for function returning Python object [1514/1577] Compiling C object scipy/linalg/_matfuncs_expm.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__matfuncs_expm.c.o warning: scipy/linalg/_decomp_update.pyx:1227:13: noexcept clause is ignored for function returning Python object warning: scipy/linalg/_decomp_update.pyx:1359:19: noexcept clause is ignored for function returning Python object warning: scipy/linalg/_decomp_update.pyx:1381:22: noexcept clause is ignored for function returning Python object warning: scipy/linalg/_decomp_update.pyx:1832:18: noexcept clause is ignored for function returning Python object warning: scipy/linalg/_decomp_update.pyx:1980:18: noexcept clause is ignored for function returning Python object [1515/1577] Compiling C object scipy/linalg/_decomp_update.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__decomp_update.c.o [1516/1577] Linking target scipy/spatial/_hausdorff.cpython-312-powerpc64le-linux-musl.so [1517/1577] Linking target scipy/_lib/messagestream.cpython-312-powerpc64le-linux-musl.so [1518/1577] Linking target scipy/stats/_rcont/rcont.cpython-312-powerpc64le-linux-musl.so [1519/1577] Linking target scipy/spatial/_voronoi.cpython-312-powerpc64le-linux-musl.so [1520/1577] Linking target scipy/sparse/csgraph/_tools.cpython-312-powerpc64le-linux-musl.so [1521/1577] Linking target scipy/io/matlab/_mio5_utils.cpython-312-powerpc64le-linux-musl.so [1522/1577] Linking target scipy/optimize/_lsq/givens_elimination.cpython-312-powerpc64le-linux-musl.so [1523/1577] Linking target scipy/_lib/_ccallback_c.cpython-312-powerpc64le-linux-musl.so [1524/1577] Linking target scipy/fftpack/convolve.cpython-312-powerpc64le-linux-musl.so [1525/1577] Linking static target scipy/special/libspecfun.a [1526/1577] Linking target scipy/special/_specfun.cpython-312-powerpc64le-linux-musl.so [1527/1577] Linking target scipy/special/_ellip_harm_2.cpython-312-powerpc64le-linux-musl.so scipy/stats/_qmc_cy.cpython-312-powerpc64le-linux-musl.so.p/_qmc_cy.cpp: In function 'PyObject* __Pyx_Import(PyObject*, PyObject*, int)': scipy/stats/_qmc_cy.cpython-312-powerpc64le-linux-musl.so.p/_qmc_cy.cpp:27950:48: warning: comparing the result of pointer addition '(((const char*)"scipy.stats._qmc_cy") + 5)' and NULL [-Waddress] 27950 | if (strchr(__Pyx_MODULE_NAME, '.') != NULL) { | ^ [1528/1577] Linking target scipy/stats/_qmc_cy.cpython-312-powerpc64le-linux-musl.so [1529/1577] Linking target scipy/linalg/_fblas.cpython-312-powerpc64le-linux-musl.so [1530/1577] Linking target scipy/interpolate/_rgi_cython.cpython-312-powerpc64le-linux-musl.so [1531/1577] Linking target scipy/signal/_peak_finding_utils.cpython-312-powerpc64le-linux-musl.so [1532/1577] Linking target scipy/signal/_sosfilt.cpython-312-powerpc64le-linux-musl.so [1533/1577] Linking target scipy/optimize/_trlib/_trlib.cpython-312-powerpc64le-linux-musl.so [1534/1577] Linking target scipy/sparse/csgraph/_min_spanning_tree.cpython-312-powerpc64le-linux-musl.so [1535/1577] Linking target scipy/cluster/_optimal_leaf_ordering.cpython-312-powerpc64le-linux-musl.so performance hint: scipy/special/cython_special.pxd:30:26: No exception value declared for 'voigt_profile' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:31:16: No exception value declared for 'agm' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:34:17: No exception value declared for 'bdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:35:18: No exception value declared for 'bdtrc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:36:18: No exception value declared for 'bdtri' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:37:19: No exception value declared for 'bdtrik' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:38:19: No exception value declared for 'bdtrin' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:39:16: No exception value declared for 'bei' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:40:17: No exception value declared for 'beip' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:41:16: No exception value declared for 'ber' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:42:17: No exception value declared for 'berp' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:43:23: No exception value declared for 'besselpoly' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:44:17: No exception value declared for 'beta' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:45:20: No exception value declared for 'betainc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:46:23: No exception value declared for 'betaincinv' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:47:19: No exception value declared for 'betaln' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:48:18: No exception value declared for 'binom' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:49:19: No exception value declared for 'boxcox' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:50:21: No exception value declared for 'boxcox1p' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:51:18: No exception value declared for 'btdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:52:19: No exception value declared for 'btdtri' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:53:20: No exception value declared for 'btdtria' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:54:20: No exception value declared for 'btdtrib' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:55:17: No exception value declared for 'cbrt' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:56:18: No exception value declared for 'chdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:57:19: No exception value declared for 'chdtrc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:58:19: No exception value declared for 'chdtri' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:59:20: No exception value declared for 'chdtriv' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:60:19: No exception value declared for 'chndtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:61:22: No exception value declared for 'chndtridf' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:62:22: No exception value declared for 'chndtrinc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:63:21: No exception value declared for 'chndtrix' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:64:18: No exception value declared for 'cosdg' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:65:18: No exception value declared for 'cosm1' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:66:18: No exception value declared for 'cotdg' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:1957:6: Exception check on 'dawsn' will always require the GIL to be acquired. Declare 'dawsn' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:68:19: No exception value declared for 'ellipe' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:69:22: No exception value declared for 'ellipeinc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:71:22: No exception value declared for 'ellipkinc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:72:21: No exception value declared for 'ellipkm1' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:73:19: No exception value declared for 'ellipk' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2001:6: Exception check on 'elliprc' will always require the GIL to be acquired. Declare 'elliprc' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2013:6: Exception check on 'elliprd' will always require the GIL to be acquired. Declare 'elliprd' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2025:6: Exception check on 'elliprf' will always require the GIL to be acquired. Declare 'elliprf' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2037:6: Exception check on 'elliprg' will always require the GIL to be acquired. Declare 'elliprg' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2049:6: Exception check on 'elliprj' will always require the GIL to be acquired. Declare 'elliprj' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:79:17: No exception value declared for 'entr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2065:6: Exception check on 'erf' will always require the GIL to be acquired. Declare 'erf' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2077:6: Exception check on 'erfc' will always require the GIL to be acquired. Declare 'erfc' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2089:6: Exception check on 'erfcx' will always require the GIL to be acquired. Declare 'erfcx' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2101:6: Exception check on 'erfi' will always require the GIL to be acquired. Declare 'erfi' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2113:6: Exception check on 'erfinv' will always require the GIL to be acquired. Declare 'erfinv' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:85:20: No exception value declared for 'erfcinv' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2129:6: Exception check on 'eval_chebyc' will always require the GIL to be acquired. Declare 'eval_chebyc' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2143:6: Exception check on 'eval_chebys' will always require the GIL to be acquired. Declare 'eval_chebys' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2157:6: Exception check on 'eval_chebyt' will always require the GIL to be acquired. Declare 'eval_chebyt' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2171:6: Exception check on 'eval_chebyu' will always require the GIL to be acquired. Declare 'eval_chebyu' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2185:6: Exception check on 'eval_gegenbauer' will always require the GIL to be acquired. Declare 'eval_gegenbauer' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2199:6: Exception check on 'eval_genlaguerre' will always require the GIL to be acquired. Declare 'eval_genlaguerre' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:92:25: No exception value declared for 'eval_hermite' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:93:29: No exception value declared for 'eval_hermitenorm' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2221:6: Exception check on 'eval_jacobi' will always require the GIL to be acquired. Declare 'eval_jacobi' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2235:6: Exception check on 'eval_laguerre' will always require the GIL to be acquired. Declare 'eval_laguerre' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2249:6: Exception check on 'eval_legendre' will always require the GIL to be acquired. Declare 'eval_legendre' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2263:6: Exception check on 'eval_sh_chebyt' will always require the GIL to be acquired. Declare 'eval_sh_chebyt' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2277:6: Exception check on 'eval_sh_chebyu' will always require the GIL to be acquired. Declare 'eval_sh_chebyu' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2291:6: Exception check on 'eval_sh_jacobi' will always require the GIL to be acquired. Declare 'eval_sh_jacobi' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2305:6: Exception check on 'eval_sh_legendre' will always require the GIL to be acquired. Declare 'eval_sh_legendre' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2319:6: Exception check on 'exp1' will always require the GIL to be acquired. Declare 'exp1' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:102:18: No exception value declared for 'exp10' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:103:17: No exception value declared for 'exp2' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2339:6: Exception check on 'expi' will always require the GIL to be acquired. Declare 'expi' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2351:6: Exception check on 'expit' will always require the GIL to be acquired. Declare 'expit' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2367:6: Exception check on 'expm1' will always require the GIL to be acquired. Declare 'expm1' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:107:17: No exception value declared for 'expn' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:108:19: No exception value declared for 'exprel' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:109:17: No exception value declared for 'fdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:110:18: No exception value declared for 'fdtrc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:111:18: No exception value declared for 'fdtri' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:112:21: No exception value declared for 'fdtridfd' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2432:6: Exception check on 'gamma' will always require the GIL to be acquired. Declare 'gamma' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:115:21: No exception value declared for 'gammainc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:116:22: No exception value declared for 'gammaincc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:117:25: No exception value declared for 'gammainccinv' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:118:24: No exception value declared for 'gammaincinv' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:119:20: No exception value declared for 'gammaln' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:120:21: No exception value declared for 'gammasgn' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:121:17: No exception value declared for 'gdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:122:18: No exception value declared for 'gdtrc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:123:19: No exception value declared for 'gdtria' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:124:19: No exception value declared for 'gdtrib' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:125:19: No exception value declared for 'gdtrix' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2488:6: Exception check on 'hankel1' will always require the GIL to be acquired. Declare 'hankel1' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2492:6: Exception check on 'hankel1e' will always require the GIL to be acquired. Declare 'hankel1e' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2496:6: Exception check on 'hankel2' will always require the GIL to be acquired. Declare 'hankel2' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2500:6: Exception check on 'hankel2e' will always require the GIL to be acquired. Declare 'hankel2e' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:130:18: No exception value declared for 'huber' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2508:6: Exception check on 'hyp0f1' will always require the GIL to be acquired. Declare 'hyp0f1' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2520:6: Exception check on 'hyp1f1' will always require the GIL to be acquired. Declare 'hyp1f1' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2532:6: Exception check on 'hyp2f1' will always require the GIL to be acquired. Declare 'hyp2f1' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:134:19: No exception value declared for 'hyperu' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:135:15: No exception value declared for 'i0' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:136:16: No exception value declared for 'i0e' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:137:15: No exception value declared for 'i1' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:138:16: No exception value declared for 'i1e' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:139:23: No exception value declared for 'inv_boxcox' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:140:25: No exception value declared for 'inv_boxcox1p' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:143:23: No exception value declared for 'it2struve0' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:147:25: No exception value declared for 'itmodstruve0' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:148:22: No exception value declared for 'itstruve0' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2636:6: Exception check on 'iv' will always require the GIL to be acquired. Declare 'iv' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2648:6: Exception check on 'ive' will always require the GIL to be acquired. Declare 'ive' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:151:15: No exception value declared for 'j0' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:152:15: No exception value declared for 'j1' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2668:6: Exception check on 'jv' will always require the GIL to be acquired. Declare 'jv' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2680:6: Exception check on 'jve' will always require the GIL to be acquired. Declare 'jve' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:155:15: No exception value declared for 'k0' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:156:16: No exception value declared for 'k0e' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:157:15: No exception value declared for 'k1' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:158:16: No exception value declared for 'k1e' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:159:16: No exception value declared for 'kei' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:160:17: No exception value declared for 'keip' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:162:16: No exception value declared for 'ker' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:163:17: No exception value declared for 'kerp' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:164:19: No exception value declared for 'kl_div' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:165:15: No exception value declared for 'kn' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:166:20: No exception value declared for 'kolmogi' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:167:23: No exception value declared for 'kolmogorov' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:2765:6: Exception check on 'kv' will always require the GIL to be acquired. Declare 'kv' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2777:6: Exception check on 'kve' will always require the GIL to be acquired. Declare 'kve' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2789:6: Exception check on 'log1p' will always require the GIL to be acquired. Declare 'log1p' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2801:6: Exception check on 'log_expit' will always require the GIL to be acquired. Declare 'log_expit' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2817:6: Exception check on 'log_ndtr' will always require the GIL to be acquired. Declare 'log_ndtr' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2829:6: Exception check on 'loggamma' will always require the GIL to be acquired. Declare 'loggamma' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:2841:6: Exception check on 'logit' will always require the GIL to be acquired. Declare 'logit' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:175:17: No exception value declared for 'lpmv' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:176:22: No exception value declared for 'mathieu_a' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:177:22: No exception value declared for 'mathieu_b' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:186:22: No exception value declared for 'modstruve' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:187:18: No exception value declared for 'nbdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:188:19: No exception value declared for 'nbdtrc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:189:19: No exception value declared for 'nbdtri' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:190:20: No exception value declared for 'nbdtrik' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:191:20: No exception value declared for 'nbdtrin' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:192:19: No exception value declared for 'ncfdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:193:20: No exception value declared for 'ncfdtri' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:194:23: No exception value declared for 'ncfdtridfd' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:195:23: No exception value declared for 'ncfdtridfn' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:196:22: No exception value declared for 'ncfdtrinc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:197:19: No exception value declared for 'nctdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:198:22: No exception value declared for 'nctdtridf' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:199:22: No exception value declared for 'nctdtrinc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:200:21: No exception value declared for 'nctdtrit' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:3032:6: Exception check on 'ndtr' will always require the GIL to be acquired. Declare 'ndtr' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:202:18: No exception value declared for 'ndtri' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:203:21: No exception value declared for 'nrdtrimn' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:204:21: No exception value declared for 'nrdtrisd' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:207:19: No exception value declared for 'obl_cv' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:212:20: No exception value declared for 'owens_t' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:216:17: No exception value declared for 'pdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:217:18: No exception value declared for 'pdtrc' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:218:18: No exception value declared for 'pdtri' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:219:19: No exception value declared for 'pdtrik' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:220:17: No exception value declared for 'poch' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:3179:6: Exception check on 'powm1' will always require the GIL to be acquired. Declare 'powm1' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:224:19: No exception value declared for 'pro_cv' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:229:25: No exception value declared for 'pseudo_huber' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:3259:6: Exception check on 'psi' will always require the GIL to be acquired. Declare 'psi' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:231:19: No exception value declared for 'radian' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:232:21: No exception value declared for 'rel_entr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:3279:6: Exception check on 'rgamma' will always require the GIL to be acquired. Declare 'rgamma' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:234:18: No exception value declared for 'round' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:237:18: No exception value declared for 'sindg' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:238:20: No exception value declared for 'smirnov' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:239:21: No exception value declared for 'smirnovi' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:3357:6: Exception check on 'spence' will always require the GIL to be acquired. Declare 'spence' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:3369:6: Exception check on 'sph_harm' will always require the GIL to be acquired. Declare 'sph_harm' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:242:18: No exception value declared for 'stdtr' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:243:21: No exception value declared for 'stdtridf' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:244:20: No exception value declared for 'stdtrit' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:245:19: No exception value declared for 'struve' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:246:18: No exception value declared for 'tandg' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:247:20: No exception value declared for 'tklmbda' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:3402:6: Exception check on 'wofz' will always require the GIL to be acquired. Declare 'wofz' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:3406:6: Exception check on 'wrightomega' will always require the GIL to be acquired. Declare 'wrightomega' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:3418:6: Exception check on 'xlog1py' will always require the GIL to be acquired. Declare 'xlog1py' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:3430:6: Exception check on 'xlogy' will always require the GIL to be acquired. Declare 'xlogy' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:252:15: No exception value declared for 'y0' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:253:15: No exception value declared for 'y1' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:254:15: No exception value declared for 'yn' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pyx:3459:6: Exception check on 'yv' will always require the GIL to be acquired. Declare 'yv' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pyx:3471:6: Exception check on 'yve' will always require the GIL to be acquired. Declare 'yve' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: scipy/special/cython_special.pxd:257:18: No exception value declared for 'zetac' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:258:26: No exception value declared for 'wright_bessel' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. performance hint: scipy/special/cython_special.pxd:259:22: No exception value declared for 'ndtri_exp' in pxd file. Users cimporting this function and calling it without the gil will always require an exception check. Suggest adding an explicit exception value. [1536/1577] Compiling C object scipy/special/cython_special.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_cython_special.c.o [1537/1577] Linking target scipy/optimize/_bglu_dense.cpython-312-powerpc64le-linux-musl.so [1538/1577] Linking target scipy/special/_ufuncs_cxx.cpython-312-powerpc64le-linux-musl.so [1539/1577] Compiling C object scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so.p/meson-generated__ufuncs.c.o [1540/1577] Linking target scipy/special/_test_internal.cpython-312-powerpc64le-linux-musl.so [1541/1577] Compiling C object scipy/linalg/cython_lapack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_cython_lapack.c.o [1542/1577] Linking target scipy/interpolate/_rbfinterp_pythran.cpython-312-powerpc64le-linux-musl.so [1543/1577] Linking target scipy/sparse/csgraph/_flow.cpython-312-powerpc64le-linux-musl.so [1544/1577] Linking target scipy/interpolate/_bspl.cpython-312-powerpc64le-linux-musl.so [1545/1577] Linking target scipy/linalg/_matfuncs_sqrtm_triu.cpython-312-powerpc64le-linux-musl.so [1546/1577] Linking target scipy/sparse/csgraph/_matching.cpython-312-powerpc64le-linux-musl.so [1547/1577] Linking target scipy/stats/_sobol.cpython-312-powerpc64le-linux-musl.so [1548/1577] Linking target scipy/linalg/cython_blas.cpython-312-powerpc64le-linux-musl.so [1549/1577] Linking target scipy/signal/_upfirdn_apply.cpython-312-powerpc64le-linux-musl.so [1550/1577] Linking target scipy/sparse/csgraph/_reordering.cpython-312-powerpc64le-linux-musl.so [1551/1577] Linking target scipy/linalg/_solve_toeplitz.cpython-312-powerpc64le-linux-musl.so [1552/1577] Linking target scipy/linalg/_decomp_lu_cython.cpython-312-powerpc64le-linux-musl.so [1553/1577] Linking target scipy/cluster/_hierarchy.cpython-312-powerpc64le-linux-musl.so scipy/optimize/_highs/_highs_wrapper.cpython-312-powerpc64le-linux-musl.so.p/_highs_wrapper.cpp: In function 'PyObject* __Pyx_Import(PyObject*, PyObject*, int)': scipy/optimize/_highs/_highs_wrapper.cpython-312-powerpc64le-linux-musl.so.p/_highs_wrapper.cpp:29425:48: warning: comparing the result of pointer addition '(((const char*)"scipy.optimize._highs.cython.src._highs_wrapper") + 5)' and NULL [-Waddress] 29425 | if (strchr(__Pyx_MODULE_NAME, '.') != NULL) { | ^ [1554/1577] Linking target scipy/optimize/_highs/_highs_wrapper.cpython-312-powerpc64le-linux-musl.so [1555/1577] Linking target scipy/interpolate/interpnd.cpython-312-powerpc64le-linux-musl.so [1556/1577] Linking target scipy/ndimage/_ni_label.cpython-312-powerpc64le-linux-musl.so [1557/1577] Linking target scipy/spatial/_distance_pybind.cpython-312-powerpc64le-linux-musl.so In function '__Pyx_XCLEAR_MEMVIEW', inlined from '__pyx_pf_5scipy_11interpolate_6_ppoly_22evaluate_nd' at scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:23643:5, inlined from '__pyx_fuse_1__pyx_pw_5scipy_11interpolate_6_ppoly_23evaluate_nd' at scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:23309:13: scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:1595:46: warning: '__sync_fetch_and_sub_4' writing 4 bytes into a region of size 0 overflows the destination [-Wstringop-overflow=] 1595 | #define __pyx_atomic_decr_aligned(value) __sync_fetch_and_sub(value, 1) | ^~~~~~~~~~~~~~~~~~~~ scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:1622:13: note: in expansion of macro '__pyx_atomic_decr_aligned' 1622 | __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview)) | ^~~~~~~~~~~~~~~~~~~~~~~~~ scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:46098:29: note: in expansion of macro '__pyx_sub_acquisition_count' 46098 | old_acquisition_count = __pyx_sub_acquisition_count(memview); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/python3.12/Python.h:44, from scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:16: /usr/include/python3.12/object.h: In function '__pyx_fuse_1__pyx_pw_5scipy_11interpolate_6_ppoly_23evaluate_nd': /usr/include/python3.12/object.h:842:22: note: at offset 56 into destination object '_Py_NoneStruct' of size 16 842 | PyAPI_DATA(PyObject) _Py_NoneStruct; /* Don't use this directly */ | ^~~~~~~~~~~~~~ In function '__Pyx_XCLEAR_MEMVIEW', inlined from '__pyx_pf_5scipy_11interpolate_6_ppoly_20evaluate_nd' at scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:22488:5, inlined from '__pyx_fuse_0__pyx_pw_5scipy_11interpolate_6_ppoly_21evaluate_nd' at scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:22154:13: scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:1595:46: warning: '__sync_fetch_and_sub_4' writing 4 bytes into a region of size 0 overflows the destination [-Wstringop-overflow=] 1595 | #define __pyx_atomic_decr_aligned(value) __sync_fetch_and_sub(value, 1) | ^~~~~~~~~~~~~~~~~~~~ scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:1622:13: note: in expansion of macro '__pyx_atomic_decr_aligned' 1622 | __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview)) | ^~~~~~~~~~~~~~~~~~~~~~~~~ scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so.p/_ppoly.c:46098:29: note: in expansion of macro '__pyx_sub_acquisition_count' 46098 | old_acquisition_count = __pyx_sub_acquisition_count(memview); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/python3.12/object.h: In function '__pyx_fuse_0__pyx_pw_5scipy_11interpolate_6_ppoly_21evaluate_nd': /usr/include/python3.12/object.h:842:22: note: at offset 56 into destination object '_Py_NoneStruct' of size 16 842 | PyAPI_DATA(PyObject) _Py_NoneStruct; /* Don't use this directly */ | ^~~~~~~~~~~~~~ [1558/1577] Linking target scipy/interpolate/_ppoly.cpython-312-powerpc64le-linux-musl.so scipy/spatial/_ckdtree.cpython-312-powerpc64le-linux-musl.so.p/_ckdtree.cpp: In function 'PyObject* __Pyx_Import(PyObject*, PyObject*, int)': scipy/spatial/_ckdtree.cpython-312-powerpc64le-linux-musl.so.p/_ckdtree.cpp:43971:48: warning: comparing the result of pointer addition '(((const char*)"scipy.spatial._ckdtree") + 5)' and NULL [-Waddress] 43971 | if (strchr(__Pyx_MODULE_NAME, '.') != NULL) { | ^ [1559/1577] Linking target scipy/spatial/_ckdtree.cpython-312-powerpc64le-linux-musl.so [1560/1577] Linking target scipy/linalg/cython_lapack.cpython-312-powerpc64le-linux-musl.so [1561/1577] Linking target scipy/linalg/_decomp_update.cpython-312-powerpc64le-linux-musl.so [1562/1577] Linking target scipy/sparse/csgraph/_shortest_path.cpython-312-powerpc64le-linux-musl.so [1563/1577] Linking target scipy/linalg/_matfuncs_expm.cpython-312-powerpc64le-linux-musl.so [1564/1577] Linking target scipy/stats/_unuran/unuran_wrapper.cpython-312-powerpc64le-linux-musl.so [1565/1577] Linking target scipy/sparse/_csparsetools.cpython-312-powerpc64le-linux-musl.so [1566/1577] Linking target scipy/spatial/_qhull.cpython-312-powerpc64le-linux-musl.so [1567/1577] Linking target scipy/spatial/transform/_rotation.cpython-312-powerpc64le-linux-musl.so [1568/1577] Linking target scipy/sparse/csgraph/_traversal.cpython-312-powerpc64le-linux-musl.so [1569/1577] Linking target scipy/stats/_stats.cpython-312-powerpc64le-linux-musl.so [1570/1577] Linking target scipy/linalg/_cythonized_array_utils.cpython-312-powerpc64le-linux-musl.so [1571/1577] Compiling Fortran object scipy/linalg/_flapack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__flapack-f2pywrappers.f.o [1572/1577] Compiling C object scipy/linalg/_flapack.cpython-312-powerpc64le-linux-musl.so.p/meson-generated_..__flapackmodule.c.o [1573/1577] Linking target scipy/special/_ufuncs.cpython-312-powerpc64le-linux-musl.so [1574/1577] Linking target scipy/fft/_pocketfft/pypocketfft.cpython-312-powerpc64le-linux-musl.so 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[100%] ==================================== ERRORS ==================================== _________________ ERROR at setup of test_warning_calls_filters _________________ lib/python3.12/site-packages/scipy/_lib/tests/test_warnings.py:76: in warning_calls finder.visit(tree) bad_filters = [] bad_stacklevels = ['__init__.py:132', 'sparse/_base.py:719', 'sparse/_base.py:732', 'sparse/_compressed.py:290', 'sparse/_compressed.py:310', 'sparse/_coo.py:278', ...] base = PosixPath('/home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/.testenv/lib/python3.12/site-packages/scipy') file = <_io.TextIOWrapper name='/home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/.testenv/lib/python3.12/site-packages/scipy/sparse/__init__.py' mode='r' encoding='utf-8'> finder = path = PosixPath('/home/buildozer/aports/community/py3-scipy/src/scipy-1.11.4/.testenv/lib/python3.12/site-packages/scipy/sparse/__init__.py') tree = /usr/lib/python3.12/ast.py:407: in visit return visitor(node) method = 'visit_Module' node = self = visitor = > /usr/lib/python3.12/ast.py:415: in generic_visit self.visit(item) field = 'body' item = node = self = value = [, , ...m object at 0x7ffb6d93ffd0>, , , ...] /usr/lib/python3.12/ast.py:407: in visit return visitor(node) method = 'visit_Expr' node = self = visitor = > /usr/lib/python3.12/ast.py:417: in generic_visit self.visit(value) field = 'value' node = self = value = /usr/lib/python3.12/ast.py:407: in visit return visitor(node) method = 'visit_Call' node = self = visitor = > lib/python3.12/site-packages/scipy/_lib/tests/test_warnings.py:42: in visit_Call if node.args[0].s == "ignore": node = p = self = /usr/lib/python3.12/ast.py:532: in _s_getter warnings._deprecated( self = warnings = /usr/lib/python3.12/warnings.py:530: in _deprecated warn(msg, DeprecationWarning, stacklevel=3) E DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead _version = sys.version_info(major=3, minor=12, micro=3, releaselevel='final', serial=0) message = '{name} is deprecated and will be removed in Python {remove}; use value instead' msg = 'Attribute s is deprecated and will be removed in Python 3.14; use value instead' name = 'Attribute s' remove = (3, 14) remove_formatted = '3.14' =================================== FAILURES =================================== ______________________________ test_verify_cases _______________________________ lib/python3.12/site-packages/scipy/linalg/tests/test_decomp_polar.py:89: in test_verify_cases verify_polar(a) a = [[1, 2, 3]] lib/python3.12/site-packages/scipy/linalg/tests/test_decomp_polar.py:77: in verify_polar evals = eigh(p, eigvals_only=True) a = [[1, 2, 3]] aa = array([[1, 2, 3]]) evals = array([-4.62194860e-16, 1.59015524e-16, 3.74165739e+00]) m = 1 n = 3 nonzero_evals = array([3.74165739]) p = array([[3.74165739]]) product_atol = 1.4901161193847656e-08 u = array([[0.26726124, 0.53452248, 0.80178373]]) lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'N' a = array([[3.74165739]]) a1 = array([[3.74165739]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 0, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = True lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ____________________ test_special_matrices_deprecation[tri] ____________________ lib/python3.12/site-packages/scipy/linalg/tests/test_special_matrices.py:117: in test_special_matrices_deprecation with pytest.warns(DeprecationWarning, match="'tri'/'tril/'triu'"): E DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) func = ___________ TestDifferentialEvolutionSolver.test_immediate_updating ____________ lib/python3.12/site-packages/scipy/optimize/tests/test__differential_evolution.py:620: in test_immediate_updating with warns(UserWarning): E DeprecationWarning: This process (pid=52282) is multi-threaded, use of fork() may lead to deadlocks in the child. bounds = [(0.0, 2.0), (0.0, 2.0)] self = solver = ________________________ TestBrute.test_runtime_warning ________________________ lib/python3.12/site-packages/scipy/optimize/tests/test_optimize.py:2500: in test_runtime_warning with pytest.warns(RuntimeWarning, E RuntimeWarning: Maximum number of function evaluations has been exceeded. func = .func at 0x7ffb4bda7f60> rng = Generator(PCG64) at 0x7FFB4BD88D60 self = ______________________ TestButtord.test_runtime_warnings _______________________ lib/python3.12/site-packages/scipy/signal/tests/test_filter_design.py:1564: in test_runtime_warnings with pytest.warns(RuntimeWarning, match=r'Order is zero'): E RuntimeWarning: divide by zero encountered in divide self = _________________________ TestFFTConvolve.test_fft_nan _________________________ lib/python3.12/site-packages/scipy/signal/tests/test_signaltools.py:811: in test_fft_nan with pytest.warns(RuntimeWarning, match="Use of fft convolution"): E RuntimeWarning: invalid value encountered in multiply coeffs = array([-7.91502778e-05, -2.09921742e-04, -2.64385426e-04, -2.19167355e-04, -8.62421182e-05, 8.92971178e-05, 2...0281e-04, 8.92971178e-05, -8.62421182e-05, -2.19167355e-04, -2.64385426e-04, -2.09921742e-04, -7.91502778e-05]) n = 1000 rng = Generator(PCG64) at 0x7FFB4B8E9E00 self = sig_nan = array([-6.25794246e-01, 6.81703013e-01, 5.05428215e-01, 3.23198248e-01, 1.54400999e+00, -1.29693957e+00, -7...9524e+00, -1.73225707e+00, -6.77519274e-01, 2.37738093e+00, -1.47240346e-01, 1.19995242e+00, 2.60555995e+00]) val = inf ____________________________ TestMedFilt.test_none _____________________________ lib/python3.12/site-packages/scipy/signal/tests/test_signaltools.py:1120: in test_none with pytest.warns(UserWarning): E DeprecationWarning: Using medfilt with arrays of dtype object is deprecated in SciPy 1.11 and will be removed in SciPy 1.13 self = _________________________ TestMedFilt.test_refcounting _________________________ lib/python3.12/site-packages/scipy/signal/tests/test_signaltools.py:1139: in test_refcounting with pytest.warns(UserWarning): E DeprecationWarning: Using medfilt with arrays of dtype object is deprecated in SciPy 1.11 and will be removed in SciPy 1.13 a = Decimal('123') j = 7 n = 8 self = x = array([Decimal('123'), Decimal('123')], dtype=object) ____________________ test_deprecated_import[chebwin-args15] ____________________ lib/python3.12/site-packages/scipy/signal/tests/test_windows.py:48: in test_deprecated_import with pytest.deprecated_call(match=msg): E UserWarning: This window is not suitable for spectral analysis for attenuation values lower than about 45dB because the equivalent noise bandwidth of a Chebyshev window does not grow monotonically with increasing sidelobe attenuation when the attenuation is smaller than about 45 dB. args = (1,) func = method = 'chebwin' msg = 'Importing chebwin' _______________________________ test_ElasticRod ________________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:92: in test_ElasticRod with pytest.warns(UserWarning, match="Exited at iteration"): E UserWarning: Exited postprocessing with accuracies E [ 0.31396293 12.60341546] E not reaching the requested tolerance 0.01. A = array([[ 8.4e+08, -4.2e+08, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0..., 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, 0.0e+00, -4.2e+08, 4.2e+08]]) B = array([[0.02616667, 0.00654167, 0. , 0. , 0. , 0. , 0. , 0. , 0. ..., 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.00654167, 0.01308333]]) _______________________________ test_regression ________________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:191: in test_regression w, _ = lobpcg(A, X) A = array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 1., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 1., ...0., 0., 1., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]) X = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) n = 10 lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb48047060> B = None M = None X = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) Y = None _ = array([[0.31622777]]) bestIterationNumber = 20 bestblockVectorX = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) blockVectorAX = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) blockVectorBX = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) blockVectorX = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) blockVectorY = None gramXAX = array([[1.]]) largest = True maxiter = 20 n = 10 residualTolerance = 1.4901161193847656e-07 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = None verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _________________ test_failure_to_run_iterations_nonsymmetric __________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:358: in test_failure_to_run_iterations_nonsymmetric eigenvalues, _ = lobpcg(A, Q, maxiter=20) A = array([[0., 1., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., ...0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]]) Q = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb480474c0> B = None M = None X = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) Y = None _ = array([[0.31622777]]) bestIterationNumber = 20 bestblockVectorX = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) blockVectorAX = array([[0.31622777], [0. ], [0. ], [0. ], [0. ], [0. ], [0. ], [0. ], [0. ], [0. ]]) blockVectorBX = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) blockVectorX = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) blockVectorY = None gramXAX = array([[0.1]]) largest = True maxiter = 20 n = 10 residualTolerance = 1.4901161193847656e-07 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = None verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[0.1]]) a1 = array([[0.1]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:357: in test_failure_to_run_iterations_nonsymmetric with pytest.warns(UserWarning, match="Exited at iteration 2"): E Failed: DID NOT WARN. No warnings of type (,) were emitted. E Emitted warnings: []. A = array([[0., 1., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., ...0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]]) Q = array([[0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777], [0.31622777]]) ________________________________ test_hermitian ________________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:394: in test_hermitian w, v = lobpcg(H, X, B, maxiter=99, verbosityLevel=0) B = array([[17.95762782+0.j , 6.5963015 -2.3858662j , 5.99199405-1.76426313j, 5.7334948 -2.34197732j, ..., 5.09483675-0.28019285j, 5.70078967+0.52388906j, 5.36468441+0.70254913j, 17.73920372+0.j ]]) H = array([[11.38749405+0.j , 1.34633711+0.22754789j, 0.28073607+0.23983187j, 0.78296277+0.02738613j, ..., 1.62691565-0.45022531j, 1.28119365-0.68700726j, 0.63196955+0.40721617j, 10.73107806+0.j ]]) X = array([[ 0.0115282 -0.09240449j], [ 0.04844442+0.02708474j], [ 0.04409443-0.04116974j], [-0.01912...56+0.04000277j], [ 0.04765571-0.04032468j], [ 0.0008631 +0.05953141j], [-0.02727185+0.02831362j]]) _ = array([[ 0.53617495+0.j , 0.7731144 +0.j , -0.33883697-0.j ], [-0.7732898 -0.1790...933691j], [ 0.28669265-0.01660326j, -0.53719455-0.06303761j, -0.7720393 -0.17010406j]], dtype=complex64) db = True dh = True dx = True gen = True gens = [True, False] j = 1 k = 1 ks = [1, 2] rnd = RandomState(MT19937) at 0x7FFB48020740 s = 12 sizes = [3, 12] v = array([[-0.3388369 +0.j , 0.7731147 +0.j ], [-0.47366762-0.18933688j, 0.32869947+0.04121773j], [-0.77203923-0.17010406j, -0.53719443-0.06303762j]], dtype=complex64) vx = array([ 0.7731147 +0.j , 0.32869947+0.04121773j, -0.53719443-0.06303762j], dtype=complex64) w = array([11.93122 , 10.563231], dtype=float32) w0 = array([ 9.474301, 10.563232, 11.93122 ], dtype=float32) wb = array([11.93121968, 10.56323195]) wx = 10.563231 lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb48047920> B = . at 0x7ffb48047880> M = None X = array([[ 0.0115282 -0.09240449j], [ 0.04844442+0.02708474j], [ 0.04409443-0.04116974j], [-0.01912...56+0.04000277j], [ 0.04765571-0.04032468j], [ 0.0008631 +0.05953141j], [-0.02727185+0.02831362j]]) Y = None _ = array([[0.04592942-0.j]]) bestIterationNumber = 99 bestblockVectorX = array([[ 0.0115282 -0.09240449j], [ 0.04844442+0.02708474j], [ 0.04409443-0.04116974j], [-0.01912...56+0.04000277j], [ 0.04765571-0.04032468j], [ 0.0008631 +0.05953141j], [-0.02727185+0.02831362j]]) blockVectorAX = array([[ 0.46003042-0.9923471j ], [ 0.52447959+0.05120631j], [ 0.63863157-0.52635752j], [-0.01568...26+0.40505394j], [ 0.60921579-0.73062222j], [ 0.33194254+0.4994115j ], [-0.03683406+0.05538922j]]) blockVectorBX = array([[1.0674054 -2.1997665j ], [1.86957368-0.63237422j], [1.87043811-1.45569803j], [1.16499462-...24881-0.25796863j], [1.93481588-1.3902961j ], [1.18113551-0.31428349j], [0.96737004-0.33163694j]]) blockVectorX = array([[ 0.0115282 -0.09240449j], [ 0.04844442+0.02708474j], [ 0.04409443-0.04116974j], [-0.01912...56+0.04000277j], [ 0.04765571-0.04032468j], [ 0.0008631 +0.05953141j], [-0.02727185+0.02831362j]]) blockVectorY = None gramXAX = array([[0.59329174-1.496199e-17j]]) largest = True maxiter = 99 n = 12 residualTolerance = 1.7881393432617188e-07 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = None verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (lrwork>=max(24*n,1)||lrwork==-1) failed for 10th keyword lrwork: zheevr:lrwork=1 _job = 'V' a = array([[0.59329174-1.496199e-17j]]) a1 = array([[0.59329174-1.496199e-17j]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = True driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1, 1) lwork_args = {'liwork': 1, 'lrwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'he' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ________________________________ test_verbosity ________________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:433: in test_verbosity _, _ = lobpcg(A, Q, maxiter=3, verbosityLevel=9) A = array([[14.79920401, 3.42395794, 1.11801536, -4.7827952 , -1.46884083, -5.10772534, -6.77429909, 0.42197369...7183, 1.51617025, 0.25640658, 0.83053424, 0.18171656, -1.52929893, -2.50529166, 2.01659191, 6.64751432]]) Q = array([[ 0.42438871], [-0.30373232], [-0.28631776], [ 0.2184642 ], [-0.26437626], [ 0.4380164 ], [-0.09321358], [-0.16844716], [ 0.43335612], [ 0.33365028]]) X = array([[ 1.76405235, 0.40015721, 0.97873798, 2.2408932 , 1.86755799, -0.97727788, 0.95008842, -0.15135721...4507, 0.20827498, 0.97663904, 0.3563664 , 0.70657317, 0.01050002, 1.78587049, 0.12691209, 0.40198936]]) rnd = RandomState(MT19937) at 0x7FFB48021040 lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb48046c00> B = None M = None X = array([[ 0.42438871], [-0.30373232], [-0.28631776], [ 0.2184642 ], [-0.26437626], [ 0.4380164 ], [-0.09321358], [-0.16844716], [ 0.43335612], [ 0.33365028]]) Y = None _ = array([[0.22536099]]) aux = 'Solving standard eigenvalue problem without preconditioning\n\nmatrix size 10\nblock size 1\n\nNo constraints\n\n' bestIterationNumber = 3 bestblockVectorX = array([[ 0.42438871], [-0.30373232], [-0.28631776], [ 0.2184642 ], [-0.26437626], [ 0.4380164 ], [-0.09321358], [-0.16844716], [ 0.43335612], [ 0.33365028]]) blockVectorAX = array([[ 2.37209637], [ 3.66692337], [-1.82892717], [ 3.80141345], [-3.79907434], [ 1.38487675], [-1.93517115], [-0.96588971], [ 7.26728148], [ 3.47532665]]) blockVectorBX = array([[ 0.42438871], [-0.30373232], [-0.28631776], [ 0.2184642 ], [-0.26437626], [ 0.4380164 ], [-0.09321358], [-0.16844716], [ 0.43335612], [ 0.33365028]]) blockVectorX = array([[ 0.42438871], [-0.30373232], [-0.28631776], [ 0.2184642 ], [-0.26437626], [ 0.4380164 ], [-0.09321358], [-0.16844716], [ 0.43335612], [ 0.33365028]]) blockVectorY = None gramXAX = array([[7.50998893]]) largest = True maxiter = 3 n = 10 residualTolerance = 1.4901161193847656e-07 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = None verbosityLevel = 9 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[7.50998893]]) a1 = array([[7.50998893]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:432: in test_verbosity with pytest.warns(UserWarning, match="Exited at iteration"): E Failed: DID NOT WARN. No warnings of type (,) were emitted. E Emitted warnings: []. A = array([[14.79920401, 3.42395794, 1.11801536, -4.7827952 , -1.46884083, -5.10772534, -6.77429909, 0.42197369...7183, 1.51617025, 0.25640658, 0.83053424, 0.18171656, -1.52929893, -2.50529166, 2.01659191, 6.64751432]]) Q = array([[ 0.42438871], [-0.30373232], [-0.28631776], [ 0.2184642 ], [-0.26437626], [ 0.4380164 ], [-0.09321358], [-0.16844716], [ 0.43335612], [ 0.33365028]]) X = array([[ 1.76405235, 0.40015721, 0.97873798, 2.2408932 , 1.86755799, -0.97727788, 0.95008842, -0.15135721...4507, 0.20827498, 0.97663904, 0.3563664 , 0.70657317, 0.01050002, 1.78587049, 0.12691209, 0.40198936]]) rnd = RandomState(MT19937) at 0x7FFB48021040 ----------------------------- Captured stdout call ----------------------------- Solving standard eigenvalue problem without preconditioning matrix size 10 block size 1 No constraints _____________________________ test_inplace_warning _____________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:490: in test_inplace_warning eigvals, _ = lobpcg(A, X, maxiter=2, verbosityLevel=1) A = <6x6 sparse matrix of type '' with 6 stored elements (1 diagonals) in DIAgonal format> X = array([[ 0.47669462], [ 0.10813329], [ 0.26448146], [ 0.60554991], [ 0.50466465], [-0.2640869 ]]) m = 1 n = 6 rnd = RandomState(MT19937) at 0x7FFB48021B40 vals = array([-1, -2, -3, -4, -5, -6]) lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb481b0720> B = None M = None X = array([[ 0.47669462], [ 0.10813329], [ 0.26448146], [ 0.60554991], [ 0.50466465], [-0.2640869 ]]) Y = None _ = array([[0.27022703]]) aux = 'Solving standard eigenvalue problem without preconditioning\n\nmatrix size 6\nblock size 1\n\nNo constraints\n\n' bestIterationNumber = 2 bestblockVectorX = array([[ 0.47669462], [ 0.10813329], [ 0.26448146], [ 0.60554991], [ 0.50466465], [-0.2640869 ]]) blockVectorAX = array([[-0.47669462+0.j], [-0.21626659+0.j], [-0.79344437+0.j], [-2.42219964+0.j], [-2.52332323+0.j], [ 1.58452138+0.j]]) blockVectorBX = array([[ 0.47669462], [ 0.10813329], [ 0.26448146], [ 0.60554991], [ 0.50466465], [-0.2640869 ]]) blockVectorX = array([[ 0.47669462], [ 0.10813329], [ 0.26448146], [ 0.60554991], [ 0.50466465], [-0.2640869 ]]) blockVectorY = None gramXAX = array([[-3.61912083+0.j]]) largest = True maxiter = 2 n = 6 residualTolerance = 8.940696716308594e-08 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = None verbosityLevel = 1 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (lrwork>=max(24*n,1)||lrwork==-1) failed for 10th keyword lrwork: zheevr:lrwork=1 _job = 'V' a = array([[-3.61912083+0.j]]) a1 = array([[-3.61912083+0.j]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = True driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1, 1) lwork_args = {'liwork': 1, 'lrwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'he' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:489: in test_inplace_warning with pytest.warns(UserWarning, match="Inplace update"): E Failed: DID NOT WARN. No warnings of type (,) were emitted. E Emitted warnings: []. A = <6x6 sparse matrix of type '' with 6 stored elements (1 diagonals) in DIAgonal format> X = array([[ 0.47669462], [ 0.10813329], [ 0.26448146], [ 0.60554991], [ 0.50466465], [-0.2640869 ]]) m = 1 n = 6 rnd = RandomState(MT19937) at 0x7FFB48021B40 vals = array([-1, -2, -3, -4, -5, -6]) ----------------------------- Captured stdout call ----------------------------- Solving standard eigenvalue problem without preconditioning matrix size 6 block size 1 No constraints __________________________________ test_maxit __________________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:509: in test_maxit with pytest.warns(UserWarning, match="Exited at iteration"): E UserWarning: Exited postprocessing with accuracies E [4.67705979 4.51222958 4.91884625 4.28224425] E not reaching the requested tolerance 1e-08. A = <50x50 sparse matrix of type '' with 50 stored elements (1 diagonals) in DIAgonal format> X = array([[ 1.28216480e-01, 2.55922290e-01, 9.42175536e-02, -2.39803369e-01], [ 2.12299753e-01, 5.78833...16e-01, -8.42333418e-02], [ 8.22283139e-02, 4.00128929e-02, 1.45113577e-02, -3.94253887e-01]]) _ = array([[ 8.40014088e-01, 9.54001730e-02, 2.07610795e-02, 3.92658378e-02], [ 2.38851974e-01, -6.00603...19e-02, -2.51861931e-02], [ 3.89713417e-02, 7.09059669e-03, 2.49918623e-02, 2.85472966e-02]]) l_h = [array([-20.20569619, -23.66206078, -27.31034222, -31.14275914]), array([ -7.08320865, -8.95916039, -12.65873945, -13....59405229, -5.13278718, -8.54328436, -10.08397845]), array([ -2.59405229, -5.13278718, -8.54328436, -10.08397845])] m = 4 maxiter = 1 n = 50 r_h = [array([13.39909418, 13.8405485 , 14.4690269 , 15.87578433]), array([9.11987901, 8.0269037 , 8.87586138, 7.84050259]), array([4.67705979, 4.51222958, 4.91884625, 4.28224425]), array([4.67705979, 4.51222958, 4.91884625, 4.28224425])] rnd = RandomState(MT19937) at 0x7FFB48022740 vals = array([ -1, -2, -3, -4, -5, -6, -7, -8, -9, -10, -11, -12, -13, -14, -15, -16, -17, -18, -19, -20, -21,..., -29, -30, -31, -32, -33, -34, -35, -36, -37, -38, -39, -40, -41, -42, -43, -44, -45, -46, -47, -48, -49, -50]) ________________________ test_diagonal_data_types[1-15] ________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:636: in test_diagonal_data_types eigvals, _ = lobpcg(A, X, B=B, M=M, Y=Y, tol=1e-4, A = array([[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0...96., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 225.]]) Af32 = array([[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0... [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 225.]], dtype=float32) Af64 = array([[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0...96., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 225.]]) As32 = <15x15 sparse matrix of type '' with 15 stored elements in COOrdinate format> As32LO = <15x15 _CustomLinearOperator with dtype=float32> As32f = .As32f at 0x7ffb481b0ae0> As64 = <15x15 sparse matrix of type '' with 15 stored elements in COOrdinate format> B = array([[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 2., 0., 0....., 0., 14., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 15.]]) Bf64 = array([[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 2., 0., 0....., 0., 14., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 15.]]) Bs32 = <15x15 sparse matrix of type '' with 15 stored elements in COOrdinate format> Bs32LO = <15x15 _CustomLinearOperator with dtype=float32> Bs32f = .Bs32f at 0x7ffb481b1300> Bs64 = <15x15 sparse matrix of type '' with 15 stored elements in COOrdinate format> M = None Mf32 = array([[1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ... , 0. , 0. , 0. , 0. , 0. , 0. , 0.06666667]], dtype=float32) Mf32precond = .Mf32precond at 0x7ffb481b1440> Mf32precondLO = <15x15 _CustomLinearOperator with dtype=float32> Mf64 = array([[1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ..., 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.06666667]]) Mf64precond = .Mf64precond at 0x7ffb481b14e0> Mf64precondLO = <15x15 _CustomLinearOperator with dtype=float64> Ms32 = <15x15 sparse matrix of type '' with 15 stored elements in COOrdinate format> Ms32precond = .Ms32precond at 0x7ffb481b13a0> Ms32precondLO = <15x15 _CustomLinearOperator with dtype=float32> Ms64 = <15x15 sparse matrix of type '' with 15 stored elements in COOrdinate format> Ms64precond = .Ms64precond at 0x7ffb481b1580> Ms64precondLO = <15x15 _CustomLinearOperator with dtype=float64> X = array([[ 0.00000000e+00], [ 3.18394121e-17], [-3.18394121e-17], [ 7.81318699e-02], [ 6.074...13527008e-01], [ 7.58392814e-02], [ 8.14530254e-02], [ 1.32723120e-01], [ 1.01859999e-02]]) Xf32 = array([[0.5488135 ], [0.71518934], [0.60276335], [0.5448832 ], [0.4236548 ], [0.645... [0.79172504], [0.5288949 ], [0.56804454], [0.92559665], [0.07103606]], dtype=float32) Xf64 = array([[ 0.00000000e+00], [ 3.18394121e-17], [-3.18394121e-17], [ 7.81318699e-02], [ 6.074...13527008e-01], [ 7.58392814e-02], [ 8.14530254e-02], [ 1.32723120e-01], [ 1.01859999e-02]]) Y = array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.], [0., 0., 0.], [0., 0., 0.], [0., 0...[0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]) Yf32 = array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.], [0., 0., 0.], [0., 0., 0.], [0., 0... [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]], dtype=float32) Yf64 = array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.], [0., 0., 0.], [0., 0., 0.], [0., 0...[0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]) listA = [array([[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ ...tion test_diagonal_data_types..As32f at 0x7ffb481b0ae0>, <15x15 _CustomLinearOperator with dtype=float32>, ...] listB = [array([[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 2., 0., 0...x15 _CustomLinearOperator with dtype=float32>, . at 0x7ffb481b1620>] listM = [None, <15x15 sparse matrix of type '' with 15 stored elements in COOrdinate format>, <15x15 _...b481b1580>, <15x15 sparse matrix of type '' with 15 stored elements in COOrdinate format>, ...] listX = [array([[ 0.00000000e+00], [ 3.18394121e-17], [-3.18394121e-17], [ 7.81318699e-02], [ 6.07... [0.79172504], [0.5288949 ], [0.56804454], [0.92559665], [0.07103606]], dtype=float32)] listY = [array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.], [0., 0., 0.], [0., 0., 0.], [0., ... [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]], dtype=float32)] list_sparse_format = ['coo'] m = 1 m_excluded = 3 n = 15 rnd = RandomState(MT19937) at 0x7FFB48023140 s_f = 'coo' s_f_i = 0 sparse_formats = 1 tests = [(array([[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ ...0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]], dtype=float32)), ...] vals = array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]) lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb481b0ea0> B = . at 0x7ffb481b0f40> M = None X = array([[ 0.00000000e+00], [ 3.18394121e-17], [-3.18394121e-17], [ 7.81318699e-02], [ 6.074...13527008e-01], [ 7.58392814e-02], [ 8.14530254e-02], [ 1.32723120e-01], [ 1.01859999e-02]]) Y = array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.], [0., 0., 0.], [0., 0., 0.], [0., 0...[0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]) _ = array([[0.14339196]]) bestIterationNumber = 100 bestblockVectorX = array([[ 0.00000000e+00], [ 3.18394121e-17], [-3.18394121e-17], [ 7.81318699e-02], [ 6.074...13527008e-01], [ 7.58392814e-02], [ 8.14530254e-02], [ 1.32723120e-01], [ 1.01859999e-02]]) blockVectorAX = array([[ 0.00000000e+00], [ 1.27357648e-16], [-2.86554709e-16], [ 1.25010992e+00], [ 1.518...37367680e+01], [ 1.09208565e+01], [ 1.37655613e+01], [ 2.60137315e+01], [ 2.29184998e+00]]) blockVectorBX = array([[ 0.00000000e+00], [ 6.36788241e-17], [-9.55182362e-17], [ 3.12527480e-01], [ 3.037...24879709e+00], [ 9.10071377e-01], [ 1.05888933e+00], [ 1.85812368e+00], [ 1.52789999e-01]]) blockVectorBY = array([[1., 0., 0.], [0., 2., 0.], [0., 0., 3.], [0., 0., 0.], [0., 0., 0.], [0., 0...[0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]) blockVectorX = array([[ 0.00000000e+00], [ 3.18394121e-17], [-3.18394121e-17], [ 7.81318699e-02], [ 6.074...13527008e-01], [ 7.58392814e-02], [ 8.14530254e-02], [ 1.32723120e-01], [ 1.01859999e-02]]) blockVectorY = array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.], [0., 0., 0.], [0., 0., 0.], [0., 0...[0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]) gramXAX = array([[10.57201841]]) gramYBY = (array([[1. , 0. , 0. ], [0. , 1.41421356, 0. ], [0. , 0. , 1.73205081]]), False) largest = False maxiter = 100 n = 15 residualTolerance = 0.0001 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 3 tol = 0.0001 verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[10.57201841]]) a1 = array([[10.57201841]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _________________________ Test_SVDS_LOBPCG.test_svd_v0 _________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py:344: in test_svd_v0 res1a = svds(A, k, v0=v0a, solver=self.solver, random_state=0) A = array([[0.63696169, 0.26978671, 0.04097352, ..., 0.97262881, 0.88993556, 0.82237383], [0.47998792, 0.23...05, 0.71360413], [0.67703467, 0.06811606, 0.11610553, ..., 0.18551999, 0.9356096 , 0.02193656]]) k = 1 n = 100 rng = Generator(PCG64) at 0x7FFB4634B140 self = v0a = array([0.09422648, 0.15966649, 0.12710552, 0.13820803, 0.09446335, 0.1007917 , 0.10437159, 0.04411627, 0.103515...42, 0.03028264, 0.15081926, 0.02273174, 0.11481698, 0.15771828, 0.10070903, 0.11362856, 0.1273228 , 0.04002785]) lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/_svds.py:487: in svds _, eigvec = lobpcg(XH_X, X, tol=tol ** 2, maxiter=maxiter, A = <100x100 MatrixLinearOperator with dtype=float64> X = array([[0.09422648], [0.15966649], [0.12710552], [0.13820803], [0.09446335], [0.100...[0.11481698], [0.15771828], [0.10070903], [0.11362856], [0.1273228 ], [0.04002785]]) XH_X = <100x100 _CustomLinearOperator with dtype=float64> XH_dot = > XH_mat = > X_dot = > X_matmat = > args = (<100x100 MatrixLinearOperator with dtype=float64>, 1, None, 0.0, 'LM', array([0.09422648, 0.15966649, 0.12710552, 0.1...03028264, 0.15081926, 0.02273174, 0.11481698, 0.15771828, 0.10070903, 0.11362856, 0.1273228 , 0.04002785]), ...) k = 1 largest = True m = 100 matmat_XH_X = .matmat_XH_X at 0x7ffb46333d80> matvec_XH_X = .matvec_XH_X at 0x7ffb46333ba0> maxiter = None n = 100 ncv = None options = None random_state = RandomState(MT19937) at 0x7FFB462B9340 return_singular_vectors = True solver = 'lobpcg' tol = 0.0 transpose = False v0 = array([0.09422648, 0.15966649, 0.12710552, 0.13820803, 0.09446335, 0.1007917 , 0.10437159, 0.04411627, 0.103515...42, 0.03028264, 0.15081926, 0.02273174, 0.11481698, 0.15771828, 0.10070903, 0.11362856, 0.1273228 , 0.04002785]) which = 'LM' lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb46333e20> B = None M = None X = array([[0.09422648], [0.15966649], [0.12710552], [0.13820803], [0.09446335], [0.100...[0.11481698], [0.15771828], [0.10070903], [0.11362856], [0.1273228 ], [0.04002785]]) Y = None _ = array([[0.16588966]]) bestIterationNumber = 20 bestblockVectorX = array([[0.09422648], [0.15966649], [0.12710552], [0.13820803], [0.09446335], [0.100...[0.11481698], [0.15771828], [0.10070903], [0.11362856], [0.1273228 ], [0.04002785]]) blockVectorAX = array([[226.00249061], [211.52396405], [220.34556592], [207.88083466], [225.16834581], ...4], [228.13590509], [218.46344638], [233.68446977], [237.0646684 ], [236.95163647]]) blockVectorBX = array([[0.09422648], [0.15966649], [0.12710552], [0.13820803], [0.09446335], [0.100...[0.11481698], [0.15771828], [0.10070903], [0.11362856], [0.1273228 ], [0.04002785]]) blockVectorX = array([[0.09422648], [0.15966649], [0.12710552], [0.13820803], [0.09446335], [0.100...[0.11481698], [0.15771828], [0.10070903], [0.11362856], [0.1273228 ], [0.04002785]]) blockVectorY = None gramXAX = array([[2002.35682113]]) largest = True maxiter = 20 n = 100 residualTolerance = 1.4901161193847656e-06 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = 0.0 verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[2002.35682113]]) a1 = array([[2002.35682113]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ____________________ Test_SVDS_LOBPCG.test_svd_random_state ____________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py:379: in test_svd_random_state res1a = svds(A, k, solver=self.solver, random_state=0) A = array([[0.63696169, 0.26978671, 0.04097352, ..., 0.97262881, 0.88993556, 0.82237383], [0.47998792, 0.23...05, 0.71360413], [0.67703467, 0.06811606, 0.11610553, ..., 0.18551999, 0.9356096 , 0.02193656]]) k = 1 n = 100 rng = Generator(PCG64) at 0x7FFB4634B760 self = lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/_svds.py:487: in svds _, eigvec = lobpcg(XH_X, X, tol=tol ** 2, maxiter=maxiter, A = <100x100 MatrixLinearOperator with dtype=float64> X = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) XH_X = <100x100 _CustomLinearOperator with dtype=float64> XH_dot = > XH_mat = > X_dot = > X_matmat = > args = (<100x100 MatrixLinearOperator with dtype=float64>, 1, None, 0.0, 'LM', None, ...) k = 1 largest = True m = 100 matmat_XH_X = .matmat_XH_X at 0x7ffb46320180> matvec_XH_X = .matvec_XH_X at 0x7ffb463200e0> maxiter = None n = 100 ncv = None options = None random_state = RandomState(MT19937) at 0x7FFB462B9E40 return_singular_vectors = True solver = 'lobpcg' tol = 0.0 transpose = False v0 = None which = 'LM' lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb46320220> B = None M = None X = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) Y = None _ = array([[0.09904371]]) bestIterationNumber = 20 bestblockVectorX = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) blockVectorAX = array([[17.85795678], [16.41821394], [16.56441059], [16.53294983], [18.72733471], [...619663], [17.30486211], [15.60133588], [20.19410569], [17.67484104], [17.94013161]]) blockVectorBX = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) blockVectorX = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) blockVectorY = None gramXAX = array([[18.35030357]]) largest = True maxiter = 20 n = 100 residualTolerance = 1.4901161193847656e-06 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = 0.0 verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[18.35030357]]) a1 = array([[18.35030357]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _________________ Test_SVDS_LOBPCG.test_svd_random_state_2[0] __________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py:414: in test_svd_random_state_2 res1a = svds(A, k, solver=self.solver, random_state=random_state) A = array([[0.63696169, 0.26978671, 0.04097352, ..., 0.97262881, 0.88993556, 0.82237383], [0.47998792, 0.23...05, 0.71360413], [0.67703467, 0.06811606, 0.11610553, ..., 0.18551999, 0.9356096 , 0.02193656]]) k = 1 n = 100 random_state = 0 random_state_2 = 0 rng = Generator(PCG64) at 0x7FFB4634BE60 self = lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/_svds.py:487: in svds _, eigvec = lobpcg(XH_X, X, tol=tol ** 2, maxiter=maxiter, A = <100x100 MatrixLinearOperator with dtype=float64> X = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) XH_X = <100x100 _CustomLinearOperator with dtype=float64> XH_dot = > XH_mat = > X_dot = > X_matmat = > args = (<100x100 MatrixLinearOperator with dtype=float64>, 1, None, 0.0, 'LM', None, ...) k = 1 largest = True m = 100 matmat_XH_X = .matmat_XH_X at 0x7ffb46320b80> matvec_XH_X = .matvec_XH_X at 0x7ffb46320cc0> maxiter = None n = 100 ncv = None options = None random_state = RandomState(MT19937) at 0x7FFB462BA840 return_singular_vectors = True solver = 'lobpcg' tol = 0.0 transpose = False v0 = None which = 'LM' lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb46320680> B = None M = None X = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) Y = None _ = array([[0.09904371]]) bestIterationNumber = 20 bestblockVectorX = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) blockVectorAX = array([[17.85795678], [16.41821394], [16.56441059], [16.53294983], [18.72733471], [...619663], [17.30486211], [15.60133588], [20.19410569], [17.67484104], [17.94013161]]) blockVectorBX = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) blockVectorX = array([[ 0.17471829], [ 0.03963306], [ 0.09693784], [ 0.22194638], [ 0.18496988], [...529585], [ 0.06998163], [ 0.00103996], [ 0.17687925], [ 0.01256984], [ 0.03981452]]) blockVectorY = None gramXAX = array([[18.35030357]]) largest = True maxiter = 20 n = 100 residualTolerance = 1.4901161193847656e-06 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = 0.0 verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[18.35030357]]) a1 = array([[18.35030357]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _________________ Test_SVDS_LOBPCG.test_svd_random_state_2[1] __________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py:414: in test_svd_random_state_2 res1a = svds(A, k, solver=self.solver, random_state=random_state) A = array([[0.63696169, 0.26978671, 0.04097352, ..., 0.97262881, 0.88993556, 0.82237383], [0.47998792, 0.23...05, 0.71360413], [0.67703467, 0.06811606, 0.11610553, ..., 0.18551999, 0.9356096 , 0.02193656]]) k = 1 n = 100 random_state = 1 random_state_2 = 1 rng = Generator(PCG64) at 0x7FFB4636C660 self = lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/_svds.py:487: in svds _, eigvec = lobpcg(XH_X, X, tol=tol ** 2, maxiter=maxiter, A = <100x100 MatrixLinearOperator with dtype=float64> X = array([[ 0.18308114], [-0.06895151], [-0.05953062], [-0.12093507], [ 0.09754072], [...773235], [ 0.00871706], [-0.038756 ], [ 0.00491383], [-0.06988074], [ 0.0786757 ]]) XH_X = <100x100 _CustomLinearOperator with dtype=float64> XH_dot = > XH_mat = > X_dot = > X_matmat = > args = (<100x100 MatrixLinearOperator with dtype=float64>, 1, None, 0.0, 'LM', None, ...) k = 1 largest = True m = 100 matmat_XH_X = .matmat_XH_X at 0x7ffb46321120> matvec_XH_X = .matvec_XH_X at 0x7ffb46320a40> maxiter = None n = 100 ncv = None options = None random_state = RandomState(MT19937) at 0x7FFB462BB240 return_singular_vectors = True solver = 'lobpcg' tol = 0.0 transpose = False v0 = None which = 'LM' lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb463209a0> B = None M = None X = array([[ 0.18308114], [-0.06895151], [-0.05953062], [-0.12093507], [ 0.09754072], [...773235], [ 0.00871706], [-0.038756 ], [ 0.00491383], [-0.06988074], [ 0.0786757 ]]) Y = None _ = array([[0.11271072]]) bestIterationNumber = 20 bestblockVectorX = array([[ 0.18308114], [-0.06895151], [-0.05953062], [-0.12093507], [ 0.09754072], [...773235], [ 0.00871706], [-0.038756 ], [ 0.00491383], [-0.06988074], [ 0.0786757 ]]) blockVectorAX = array([[17.73881725], [15.25915026], [16.37087405], [14.71649155], [17.75858905], [...039415], [17.45991304], [13.99387698], [17.65870468], [15.75382969], [17.78439904]]) blockVectorBX = array([[ 0.18308114], [-0.06895151], [-0.05953062], [-0.12093507], [ 0.09754072], [...773235], [ 0.00871706], [-0.038756 ], [ 0.00491383], [-0.06988074], [ 0.0786757 ]]) blockVectorX = array([[ 0.18308114], [-0.06895151], [-0.05953062], [-0.12093507], [ 0.09754072], [...773235], [ 0.00871706], [-0.038756 ], [ 0.00491383], [-0.06988074], [ 0.0786757 ]]) blockVectorY = None gramXAX = array([[18.374728]]) largest = True maxiter = 20 n = 100 residualTolerance = 1.4901161193847656e-06 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = 0.0 verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[18.374728]]) a1 = array([[18.374728]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ___________ Test_SVDS_LOBPCG.test_svd_random_state_2[random_state2] ____________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py:414: in test_svd_random_state_2 res1a = svds(A, k, solver=self.solver, random_state=random_state) A = array([[0.63696169, 0.26978671, 0.04097352, ..., 0.97262881, 0.88993556, 0.82237383], [0.47998792, 0.23...05, 0.71360413], [0.67703467, 0.06811606, 0.11610553, ..., 0.18551999, 0.9356096 , 0.02193656]]) k = 1 n = 100 random_state = RandomState(MT19937) at 0x7FFB83BAF340 random_state_2 = RandomState(MT19937) at 0x7FFB462BBC40 rng = Generator(PCG64) at 0x7FFB4636CD60 self = lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/_svds.py:487: in svds _, eigvec = lobpcg(XH_X, X, tol=tol ** 2, maxiter=maxiter, A = <100x100 MatrixLinearOperator with dtype=float64> X = array([[ 0.1814364 ], [-0.12985289], [-0.12240774], [ 0.09339871], [-0.11302722], [...041627], [-0.01652802], [ 0.0743599 ], [ 0.07934236], [ 0.20842185], [ 0.1287708 ]]) XH_X = <100x100 _CustomLinearOperator with dtype=float64> XH_dot = > XH_mat = > X_dot = > X_matmat = > args = (<100x100 MatrixLinearOperator with dtype=float64>, 1, None, 0.0, 'LM', None, ...) k = 1 largest = True m = 100 matmat_XH_X = .matmat_XH_X at 0x7ffb46321440> matvec_XH_X = .matvec_XH_X at 0x7ffb46321580> maxiter = None n = 100 ncv = None options = None random_state = RandomState(MT19937) at 0x7FFB83BAF340 return_singular_vectors = True solver = 'lobpcg' tol = 0.0 transpose = False v0 = None which = 'LM' lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb46320ea0> B = None M = None X = array([[ 0.1814364 ], [-0.12985289], [-0.12240774], [ 0.09339871], [-0.11302722], [...041627], [-0.01652802], [ 0.0743599 ], [ 0.07934236], [ 0.20842185], [ 0.1287708 ]]) Y = None _ = array([[0.09634725]]) bestIterationNumber = 20 bestblockVectorX = array([[ 0.1814364 ], [-0.12985289], [-0.12240774], [ 0.09339871], [-0.11302722], [...041627], [-0.01652802], [ 0.0743599 ], [ 0.07934236], [ 0.20842185], [ 0.1287708 ]]) blockVectorAX = array([[22.35918457], [19.50299231], [18.27557592], [18.24770514], [20.16057146], [...973937], [19.83233892], [21.5445793 ], [21.37492267], [24.47771635], [22.21826341]]) blockVectorBX = array([[ 0.1814364 ], [-0.12985289], [-0.12240774], [ 0.09339871], [-0.11302722], [...041627], [-0.01652802], [ 0.0743599 ], [ 0.07934236], [ 0.20842185], [ 0.1287708 ]]) blockVectorX = array([[ 0.1814364 ], [-0.12985289], [-0.12240774], [ 0.09339871], [-0.11302722], [...041627], [-0.01652802], [ 0.0743599 ], [ 0.07934236], [ 0.20842185], [ 0.1287708 ]]) blockVectorY = None gramXAX = array([[27.08029181]]) largest = True maxiter = 20 n = 100 residualTolerance = 1.4901161193847656e-06 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = 0.0 verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[27.08029181]]) a1 = array([[27.08029181]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ___________ Test_SVDS_LOBPCG.test_svd_random_state_2[random_state3] ____________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py:414: in test_svd_random_state_2 res1a = svds(A, k, solver=self.solver, random_state=random_state) A = array([[0.63696169, 0.26978671, 0.04097352, ..., 0.97262881, 0.88993556, 0.82237383], [0.47998792, 0.23...05, 0.71360413], [0.67703467, 0.06811606, 0.11610553, ..., 0.18551999, 0.9356096 , 0.02193656]]) k = 1 n = 100 random_state = Generator(PCG64) at 0x7FFB83FA0C80 random_state_2 = Generator(PCG64) at 0x7FFB4636D2A0 rng = Generator(PCG64) at 0x7FFB4636D460 self = lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/_svds.py:487: in svds _, eigvec = lobpcg(XH_X, X, tol=tol ** 2, maxiter=maxiter, A = <100x100 MatrixLinearOperator with dtype=float64> X = array([[ 0.0525248 ], [ 0.10341406], [-0.01716697], [-0.11225924], [ 0.09122325], [...958344], [ 0.17170162], [-0.13402266], [-0.06119476], [-0.04938018], [ 0.06126576]]) XH_X = <100x100 _CustomLinearOperator with dtype=float64> XH_dot = > XH_mat = > X_dot = > X_matmat = > args = (<100x100 MatrixLinearOperator with dtype=float64>, 1, None, 0.0, 'LM', None, ...) k = 1 largest = True m = 100 matmat_XH_X = .matmat_XH_X at 0x7ffb463218a0> matvec_XH_X = .matvec_XH_X at 0x7ffb463219e0> maxiter = None n = 100 ncv = None options = None random_state = Generator(PCG64) at 0x7FFB83FA0C80 return_singular_vectors = True solver = 'lobpcg' tol = 0.0 transpose = False v0 = None which = 'LM' lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb46321300> B = None M = None X = array([[ 0.0525248 ], [ 0.10341406], [-0.01716697], [-0.11225924], [ 0.09122325], [...958344], [ 0.17170162], [-0.13402266], [-0.06119476], [-0.04938018], [ 0.06126576]]) Y = None _ = array([[0.10448894]]) bestIterationNumber = 20 bestblockVectorX = array([[ 0.0525248 ], [ 0.10341406], [-0.01716697], [-0.11225924], [ 0.09122325], [...958344], [ 0.17170162], [-0.13402266], [-0.06119476], [-0.04938018], [ 0.06126576]]) blockVectorAX = array([[-13.50164956], [-13.04134198], [-14.71157105], [-12.57442113], [-11.79501089], ...8], [-12.44567382], [-13.14615999], [-13.1139597 ], [-13.04818871], [-14.06667381]]) blockVectorBX = array([[ 0.0525248 ], [ 0.10341406], [-0.01716697], [-0.11225924], [ 0.09122325], [...958344], [ 0.17170162], [-0.13402266], [-0.06119476], [-0.04938018], [ 0.06126576]]) blockVectorX = array([[ 0.0525248 ], [ 0.10341406], [-0.01716697], [-0.11225924], [ 0.09122325], [...958344], [ 0.17170162], [-0.13402266], [-0.06119476], [-0.04938018], [ 0.06126576]]) blockVectorY = None gramXAX = array([[13.67702326]]) largest = True maxiter = 20 n = 100 residualTolerance = 1.4901161193847656e-06 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = 0.0 verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[13.67702326]]) a1 = array([[13.67702326]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ______________________ Test_SVDS_LOBPCG.test_svd_maxiter _______________________ lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py:462: in test_svd_maxiter svds(A, k, maxiter=1, solver=self.solver) A = array([[0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 1., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 2., 0., 0., ...0., 0., 0., 0., 6., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 7., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 8.]]) k = 1 s = array([8.]) self = u = array([[0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [1.]]) vh = array([[0., 0., 0., 0., 0., 0., 0., 0., 1.]]) lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/_svds.py:487: in svds _, eigvec = lobpcg(XH_X, X, tol=tol ** 2, maxiter=maxiter, A = <9x9 MatrixLinearOperator with dtype=float64> X = array([[-0.36240425], [ 0.29127743], [ 0.23962058], [ 0.63876094], [ 0.01700994], [-0.37828265], [-0.40753234], [-0.08051176], [ 0.04934772]]) XH_X = <9x9 _CustomLinearOperator with dtype=float64> XH_dot = > XH_mat = > X_dot = > X_matmat = > args = (<9x9 MatrixLinearOperator with dtype=float64>, 1, None, 0.0, 'LM', None, ...) k = 1 largest = True m = 9 matmat_XH_X = .matmat_XH_X at 0x7ffb46321760> matvec_XH_X = .matvec_XH_X at 0x7ffb46321e40> maxiter = 1 n = 9 ncv = None options = None random_state = RandomState(MT19937) at 0x7FFB92D7EF40 return_singular_vectors = True solver = 'lobpcg' tol = 0.0 transpose = False v0 = None which = 'LM' lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/lobpcg.py:622: in lobpcg _lambda, eigBlockVector = eigh(gramXAX, check_finite=False) A = . at 0x7ffb46320f40> B = None M = None X = array([[-0.36240425], [ 0.29127743], [ 0.23962058], [ 0.63876094], [ 0.01700994], [-0.37828265], [-0.40753234], [-0.08051176], [ 0.04934772]]) Y = None _ = array([[0.60602576]]) bestIterationNumber = 1 bestblockVectorX = array([[-0.36240425], [ 0.29127743], [ 0.23962058], [ 0.63876094], [ 0.01700994], [-0.37828265], [-0.40753234], [-0.08051176], [ 0.04934772]]) blockVectorAX = array([[ 0. ], [ 0.29127743], [ 0.9584823 ], [ 5.74884849], [ 0.27215905], [ -9.4570663 ], [-14.67116419], [ -3.94507604], [ 3.15825387]]) blockVectorBX = array([[-0.36240425], [ 0.29127743], [ 0.23962058], [ 0.63876094], [ 0.01700994], [-0.37828265], [-0.40753234], [-0.08051176], [ 0.04934772]]) blockVectorX = array([[-0.36240425], [ 0.29127743], [ 0.23962058], [ 0.63876094], [ 0.01700994], [-0.37828265], [-0.40753234], [-0.08051176], [ 0.04934772]]) blockVectorY = None gramXAX = array([[14.02117951]]) largest = True maxiter = 1 n = 9 residualTolerance = 1.341104507446289e-07 restartControl = 20 retLambdaHistory = False retResidualNormsHistory = False sizeX = 1 sizeY = 0 tol = 0.0 verbosityLevel = 0 lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[14.02117951]]) a1 = array([[14.02117951]]) b = None check_finite = False clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py:461: in test_svd_maxiter with pytest.warns(UserWarning, match="Exited at iteration"): E Failed: DID NOT WARN. No warnings of type (,) were emitted. E Emitted warnings: []. A = array([[0., 0., 0., 0., 0., 0., 0., 0., 0.], [0., 1., 0., 0., 0., 0., 0., 0., 0.], [0., 0., 2., 0., 0., ...0., 0., 0., 0., 6., 0., 0.], [0., 0., 0., 0., 0., 0., 0., 7., 0.], [0., 0., 0., 0., 0., 0., 0., 0., 8.]]) k = 1 s = array([8.]) self = u = array([[0.], [0.], [0.], [0.], [0.], [0.], [0.], [0.], [1.]]) vh = array([[0., 0., 0., 0., 0., 0., 0., 0., 1.]]) __________________________ TestGMRES.test_restrt_dep ___________________________ lib/python3.12/site-packages/scipy/sparse/linalg/_isolve/tests/test_iterative.py:801: in test_restrt_dep with pytest.warns( E DeprecationWarning: scipy.sparse.linalg.gmres called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``gmres(..., atol=0)``, or to retain the old behavior ``gmres(..., atol='legacy')`` self = ____________________ TestCOO.test_multiple_ellipsis_slicing ____________________ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'coo_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ____________________ TestDIA.test_multiple_ellipsis_slicing ____________________ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'dia_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ____________________ TestBSR.test_multiple_ellipsis_slicing ____________________ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = lib/python3.12/site-packages/scipy/sparse/_bsr.py:336: in __getitem__ raise NotImplementedError E NotImplementedError key = (Ellipsis, Ellipsis) self = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ______________ TestBSRNonCanonical.test_multiple_ellipsis_slicing ______________ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) a = <5x10 sparse matrix of type '' with 100 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = lib/python3.12/site-packages/scipy/sparse/_bsr.py:336: in __getitem__ raise NotImplementedError E NotImplementedError key = (Ellipsis, Ellipsis) self = <5x10 sparse matrix of type '' with 100 stored elements (blocksize = 1x1) in Block Sparse Row format> During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 100 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ______________ TestCOONonCanonical.test_multiple_ellipsis_slicing ______________ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'coo_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 100 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 100 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = __ Test64Bit.test_resiliency_limit_10[TestBSR-test_multiple_ellipsis_slicing] __ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = lib/python3.12/site-packages/scipy/sparse/_bsr.py:336: in __getitem__ raise NotImplementedError E NotImplementedError key = (Ellipsis, Ellipsis) self = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5037: in test_resiliency_limit_10 self._check_resiliency(cls, method_name, maxval_limit=10) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb33882660> cls = kw = {'maxval_limit': 10} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb33882480> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb33882340> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = __ Test64Bit.test_resiliency_limit_10[TestCOO-test_multiple_ellipsis_slicing] __ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'coo_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5037: in test_resiliency_limit_10 self._check_resiliency(cls, method_name, maxval_limit=10) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb454dc860> cls = kw = {'maxval_limit': 10} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb454dc680> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb454dc540> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = __ Test64Bit.test_resiliency_limit_10[TestDIA-test_multiple_ellipsis_slicing] __ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'dia_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5037: in test_resiliency_limit_10 self._check_resiliency(cls, method_name, maxval_limit=10) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb32c20860> cls = kw = {'maxval_limit': 10} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb32c20680> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb32c20540> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_random[TestBSR-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = lib/python3.12/site-packages/scipy/sparse/_bsr.py:336: in __getitem__ raise NotImplementedError E NotImplementedError key = (Ellipsis, Ellipsis) self = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5044: in test_resiliency_random self._check_resiliency(cls, method_name, random=True) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb44f56e80> cls = kw = {'random': True} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb44f56ca0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb44f56b60> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_random[TestCOO-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'coo_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5044: in test_resiliency_random self._check_resiliency(cls, method_name, random=True) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb32485080> cls = kw = {'random': True} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb32484ea0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb32484d60> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_random[TestDIA-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'dia_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5044: in test_resiliency_random self._check_resiliency(cls, method_name, random=True) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb31845080> cls = kw = {'random': True} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb31844ea0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb31844d60> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_all_32[TestBSR-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = lib/python3.12/site-packages/scipy/sparse/_bsr.py:336: in __getitem__ raise NotImplementedError E NotImplementedError key = (Ellipsis, Ellipsis) self = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5048: in test_resiliency_all_32 self._check_resiliency(cls, method_name, fixed_dtype=np.int32) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb3193f6a0> cls = kw = {'fixed_dtype': } method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb3193f4c0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb3193f380> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_all_32[TestCOO-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'coo_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5048: in test_resiliency_all_32 self._check_resiliency(cls, method_name, fixed_dtype=np.int32) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb310f18a0> cls = kw = {'fixed_dtype': } method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb310f16c0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb310f1580> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_all_32[TestDIA-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'dia_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5048: in test_resiliency_all_32 self._check_resiliency(cls, method_name, fixed_dtype=np.int32) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb302758a0> cls = kw = {'fixed_dtype': } method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb302756c0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb30275580> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_all_64[TestBSR-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = lib/python3.12/site-packages/scipy/sparse/_bsr.py:336: in __getitem__ raise NotImplementedError E NotImplementedError key = (Ellipsis, Ellipsis) self = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5052: in test_resiliency_all_64 self._check_resiliency(cls, method_name, fixed_dtype=np.int64) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb3039bec0> cls = kw = {'fixed_dtype': } method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb3039bce0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb3039bba0> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_all_64[TestCOO-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'coo_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5052: in test_resiliency_all_64 self._check_resiliency(cls, method_name, fixed_dtype=np.int64) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb31f8e0c0> cls = kw = {'fixed_dtype': } method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb31f8dee0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb31f8dda0> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = ___ Test64Bit.test_resiliency_all_64[TestDIA-test_multiple_ellipsis_slicing] ___ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'dia_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5052: in test_resiliency_all_64 self._check_resiliency(cls, method_name, fixed_dtype=np.int64) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb314660c0> cls = kw = {'fixed_dtype': } method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb31465ee0> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb31465da0> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = _________ Test64Bit.test_no_64[TestBSR-test_multiple_ellipsis_slicing] _________ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = lib/python3.12/site-packages/scipy/sparse/_bsr.py:336: in __getitem__ raise NotImplementedError E NotImplementedError key = (Ellipsis, Ellipsis) self = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5056: in test_no_64 self._check_resiliency(cls, method_name, assert_32bit=True) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb2f180720> cls = kw = {'assert_32bit': True} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb2f180540> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb2f180360> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements (blocksize = 1x1) in Block Sparse Row format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = _________ Test64Bit.test_no_64[TestCOO-test_multiple_ellipsis_slicing] _________ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'coo_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5056: in test_no_64 self._check_resiliency(cls, method_name, assert_32bit=True) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb2e0168e0> cls = kw = {'assert_32bit': True} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb2e016700> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb2e016520> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 49 stored elements in COOrdinate format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = _________ Test64Bit.test_no_64[TestDIA-test_multiple_ellipsis_slicing] _________ lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2589: in test_multiple_ellipsis_slicing assert_array_equal(a[..., ...].toarray(), b[:, :].A) E TypeError: 'dia_matrix' object is not subscriptable a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = During handling of the above exception, another exception occurred: lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5056: in test_no_64 self._check_resiliency(cls, method_name, assert_32bit=True) cls = method_name = 'test_multiple_ellipsis_slicing' self = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5033: in _check_resiliency check(cls, method_name) check = .check at 0x7ffb2e07e8e0> cls = kw = {'assert_32bit': True} method_name = 'test_multiple_ellipsis_slicing' self = :2: in check ??? cls = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:156: in deco return func(*a, **kw) a = (, 'test_multiple_ellipsis_slicing') backup = [(, 'get_index_dtype', .new_get_index_dtype at 0x7ffb731e2160>), ...] downcast_maxval = None func = .check at 0x7ffb2e07e700> kw = {} mod = modules = [, ...] name = 'get_index_dtype' new_get_index_dtype = .new_get_index_dtype at 0x7ffb2e07e520> oldfunc = lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:5028: in check getattr(instance, method_name)() cls = instance = method_name = 'test_multiple_ellipsis_slicing' lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:3617: in wrapper return fc(*a, **kw) a = (,) fc = kw = {} lib/python3.12/site-packages/scipy/sparse/tests/test_base.py:2588: in test_multiple_ellipsis_slicing with pytest.deprecated_call(match='removed in v1.13'): E Failed: DID NOT WARN. No warnings of type (, , ) were emitted. E Emitted warnings: []. a = <5x10 sparse matrix of type '' with 50 stored elements (14 diagonals) in DIAgonal format> b = matrix([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 2..., 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]]) self = _________________________ test_as_euler_symmetric_axes _________________________ lib/python3.12/site-packages/scipy/spatial/transform/tests/test_rotation.py:653: in test_as_euler_symmetric_axes assert_allclose(angles, angles_quat, atol=0, rtol=1e-13) angles = array([[ 0.30670429, 1.8625883 , 1.95732828], [ 1.35207467, 0.03161603, -0.15026875], [ 0.64568133, ...0830316, -1.10826775], [-1.704964 , 2.02275853, 1.97006145], [ 1.11301063, 1.57636678, 1.24030316]]) angles_mat = array([[ 0.30670429, 1.8625883 , 1.95732828], [ 1.35207467, 0.03161603, -0.15026875], [ 0.64568133, ...0830316, -1.10826775], [-1.704964 , 2.02275853, 1.97006145], [ 1.11301063, 1.57636678, 1.24030316]]) angles_quat = array([[ 0.30670429, 1.8625883 , 1.95732828], [ 1.35207467, 0.03161603, -0.15026875], [ 0.64568133, ...0830316, -1.10826775], [-1.704964 , 2.02275853, 1.97006145], [ 1.11301063, 1.57636678, 1.24030316]]) n = 1000 rnd = RandomState(MT19937) at 0x7FFB465D0B40 rotation = seq = 'xyx' seq_tuple = ('x', 'y', 'z') test_stats = .test_stats at 0x7ffb2dda2480> /usr/lib/python3.12/contextlib.py:81: in inner return func(*args, **kwds) E AssertionError: E Not equal to tolerance rtol=1e-13, atol=0 E E Mismatched elements: 1 / 3000 (0.0333%) E Max absolute difference: 4.4408921e-16 E Max relative difference: 1.03948148e-13 E x: array([[ 0.306704, 1.862588, 1.957328], E [ 1.352075, 0.031616, -0.150269], E [ 0.645681, 1.494852, 0.145493],... E y: array([[ 0.306704, 1.862588, 1.957328], E [ 1.352075, 0.031616, -0.150269], E [ 0.645681, 1.494852, 0.145493],... args = (.compare at 0x7ffb2dda27a0>, array([[ 0.30670429, 1.8625883 , 1.95732828], ...830316, -1.10826775], [-1.704964 , 2.02275853, 1.97006145], [ 1.11301063, 1.57636678, 1.24030316]])) func = kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-13, atol=0', 'verbose': True} self = ____________________________ TestFit.test_guess_iv _____________________________ lib/python3.12/site-packages/scipy/stats/tests/test_fit.py:465: in test_guess_iv with pytest.warns(RuntimeWarning, match=message): E RuntimeWarning: Guess for parameter `p` clipped from -0.5 to 0.0. guess = {'n': 4.5, 'p': -0.5} message = 'Guess for parameter `n` rounded...' self = __________________________ test_theilslopes_warnings ___________________________ lib/python3.12/site-packages/scipy/stats/tests/test_mstats_basic.py:972: in test_theilslopes_warnings with pytest.warns(RuntimeWarning, match="All `x` coordinates are..."): E RuntimeWarning: Mean of empty slice. res = TheilslopesResult(slope=nan, intercept=nan, low_slope=nan, high_slope=nan) _________ TestDunnett.test_critical_values[0.5-1-10-1.81-0.05-greater] _________ lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py:204: in test_critical_values res = _pvalue_dunnett( alternative = 'greater' df = 10 n_groups = 1 pvalue = 0.05 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E89C40 self = statistic = array(1.81) lib/python3.12/site-packages/scipy/stats/_multicomp.py:450: in _pvalue_dunnett mvt = stats.multivariate_t(shape=rho, df=df, seed=rng) alternative = 'greater' df = 10 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E89C40 statistic = array([[1.81]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 10 loc = None seed = Generator(PCG64) at 0x7FFB69E89C40 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 10 dim = 1 loc = array([0.]) seed = Generator(PCG64) at 0x7FFB69E89C40 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ________ TestDunnett.test_critical_values[0.5-1-10-2.23-0.05-two-sided] ________ lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py:204: in test_critical_values res = _pvalue_dunnett( alternative = 'two-sided' df = 10 n_groups = 1 pvalue = 0.05 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8A0A0 self = statistic = array(2.23) lib/python3.12/site-packages/scipy/stats/_multicomp.py:450: in _pvalue_dunnett mvt = stats.multivariate_t(shape=rho, df=df, seed=rng) alternative = 'two-sided' df = 10 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8A0A0 statistic = array([[2.23]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 10 loc = None seed = Generator(PCG64) at 0x7FFB69E8A0A0 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 10 dim = 1 loc = array([0.]) seed = Generator(PCG64) at 0x7FFB69E8A0A0 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ____________________ TestDunnett.test_ttest_ind[two-sided] _____________________ lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py:242: in test_ttest_ind res = stats.dunnett( _ = 0 alternative = 'two-sided' control = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) rng = Generator(PCG64) at 0x7FFB69E8A880 sample = array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98]) self = lib/python3.12/site-packages/scipy/stats/_multicomp.py:342: in dunnett pvalue = _pvalue_dunnett( alternative = 'two-sided' control = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) control_ = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) df = 18 mean_control = -0.2 mean_samples = array([43.9]) n_control = 10 n_group = 1 n_samples = array([10]) random_state = Generator(PCG64) at 0x7FFB69E8A880 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8A880 samples = (array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98]),) samples_ = [array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98])] statistic = array([1.93892207]) std = 50.85846373351572 lib/python3.12/site-packages/scipy/stats/_multicomp.py:450: in _pvalue_dunnett mvt = stats.multivariate_t(shape=rho, df=df, seed=rng) alternative = 'two-sided' df = 18 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8A880 statistic = array([[1.93892207]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 18 loc = None seed = Generator(PCG64) at 0x7FFB69E8A880 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 18 dim = 1 loc = array([0.]) seed = Generator(PCG64) at 0x7FFB69E8A880 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _______________________ TestDunnett.test_ttest_ind[less] _______________________ lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py:242: in test_ttest_ind res = stats.dunnett( _ = 0 alternative = 'less' control = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) rng = Generator(PCG64) at 0x7FFB69E8AF80 sample = array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98]) self = lib/python3.12/site-packages/scipy/stats/_multicomp.py:342: in dunnett pvalue = _pvalue_dunnett( alternative = 'less' control = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) control_ = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) df = 18 mean_control = -0.2 mean_samples = array([43.9]) n_control = 10 n_group = 1 n_samples = array([10]) random_state = Generator(PCG64) at 0x7FFB69E8AF80 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8AF80 samples = (array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98]),) samples_ = [array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98])] statistic = array([1.93892207]) std = 50.85846373351572 lib/python3.12/site-packages/scipy/stats/_multicomp.py:450: in _pvalue_dunnett mvt = stats.multivariate_t(shape=rho, df=df, seed=rng) alternative = 'less' df = 18 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8AF80 statistic = array([[1.93892207]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 18 loc = None seed = Generator(PCG64) at 0x7FFB69E8AF80 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 18 dim = 1 loc = array([0.]) seed = Generator(PCG64) at 0x7FFB69E8AF80 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _____________________ TestDunnett.test_ttest_ind[greater] ______________________ lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py:242: in test_ttest_ind res = stats.dunnett( _ = 0 alternative = 'greater' control = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) rng = Generator(PCG64) at 0x7FFB69E8B680 sample = array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98]) self = lib/python3.12/site-packages/scipy/stats/_multicomp.py:342: in dunnett pvalue = _pvalue_dunnett( alternative = 'greater' control = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) control_ = array([-30, 67, 33, -33, -6, 36, -44, -96, 23, 48]) df = 18 mean_control = -0.2 mean_samples = array([43.9]) n_control = 10 n_group = 1 n_samples = array([10]) random_state = Generator(PCG64) at 0x7FFB69E8B680 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8B680 samples = (array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98]),) samples_ = [array([ 31, -30, 92, -29, 93, -8, 86, 38, 68, 98])] statistic = array([1.93892207]) std = 50.85846373351572 lib/python3.12/site-packages/scipy/stats/_multicomp.py:450: in _pvalue_dunnett mvt = stats.multivariate_t(shape=rho, df=df, seed=rng) alternative = 'greater' df = 18 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8B680 statistic = array([[1.93892207]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 18 loc = None seed = Generator(PCG64) at 0x7FFB69E8B680 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 18 dim = 1 loc = array([0.]) seed = Generator(PCG64) at 0x7FFB69E8B680 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' __________________________ TestDunnett.test_shapes[1] __________________________ lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py:399: in test_shapes res = stats.dunnett(*samples, control=control, random_state=rng) control = array([ 0.93062923, 1.05923736, 0.7813561 , 0.10179298, 1.81350281, -1.64822219, 0.5840277 , -1.05764498, 0.69409434, 0.61506521]) n_samples = 1 rng = Generator(PCG64) at 0x7FFB69E8BD80 samples = array([[ 0.46969572, -0.44605399, -1.91769557, -0.21277653, -1.25400888, 0.79578597, 0.93654687, -0.06268451, 0.02250545, -0.93265 ]]) self = lib/python3.12/site-packages/scipy/stats/_multicomp.py:342: in dunnett pvalue = _pvalue_dunnett( alternative = 'two-sided' control = array([ 0.93062923, 1.05923736, 0.7813561 , 0.10179298, 1.81350281, -1.64822219, 0.5840277 , -1.05764498, 0.69409434, 0.61506521]) control_ = array([ 0.93062923, 1.05923736, 0.7813561 , 0.10179298, 1.81350281, -1.64822219, 0.5840277 , -1.05764498, 0.69409434, 0.61506521]) df = 18 mean_control = 0.3873838573606143 mean_samples = array([-0.26013355]) n_control = 10 n_group = 1 n_samples = array([10]) random_state = Generator(PCG64) at 0x7FFB69E8BD80 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8BD80 samples = (array([ 0.46969572, -0.44605399, -1.91769557, -0.21277653, -1.25400888, 0.79578597, 0.93654687, -0.06268451, 0.02250545, -0.93265 ]),) samples_ = [array([ 0.46969572, -0.44605399, -1.91769557, -0.21277653, -1.25400888, 0.79578597, 0.93654687, -0.06268451, 0.02250545, -0.93265 ])] statistic = array([-1.49620252]) std = 0.9677118679306033 lib/python3.12/site-packages/scipy/stats/_multicomp.py:450: in _pvalue_dunnett mvt = stats.multivariate_t(shape=rho, df=df, seed=rng) alternative = 'two-sided' df = 18 rho = array([[1.]]) rng = Generator(PCG64) at 0x7FFB69E8BD80 statistic = array([[-1.49620252]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 18 loc = None seed = Generator(PCG64) at 0x7FFB69E8BD80 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 18 dim = 1 loc = array([0.]) seed = Generator(PCG64) at 0x7FFB69E8BD80 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' __________________ TestMultivariateNormal.test_scalar_values ___________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:309: in test_scalar_values pdf = multivariate_normal.pdf(x, mean, cov) cov = 2.5 mean = 1.7 self = x = 1.5 lib/python3.12/site-packages/scipy/stats/_multivariate.py:585: in pdf params = self._process_parameters(mean, cov, allow_singular) allow_singular = False cov = 2.5 mean = 1.7 self = x = 1.5 lib/python3.12/site-packages/scipy/stats/_multivariate.py:422: in _process_parameters psd = _PSD(cov, allow_singular=allow_singular) allow_singular = False cov = array([[2.5]]) dim = 1 mean = array([1.7]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[2.5]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[2.5]]) a1 = array([[2.5]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ______________ TestMultivariateNormal.test_logpdf_default_values _______________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:346: in test_logpdf_default_values d1 = multivariate_normal.logpdf(x) self = x = array([ 0.47143516, -1.19097569, 1.43270697, -0.3126519 , -0.72058873]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:557: in logpdf params = self._process_parameters(mean, cov, allow_singular) allow_singular = False cov = 1 mean = None self = x = array([ 0.47143516, -1.19097569, 1.43270697, -0.3126519 , -0.72058873]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:422: in _process_parameters psd = _PSD(cov, allow_singular=allow_singular) allow_singular = False cov = array([[1.]]) dim = 1 mean = array([0.]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ______________ TestMultivariateNormal.test_logcdf_default_values _______________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:369: in test_logcdf_default_values d1 = multivariate_normal.logcdf(x) self = x = array([ 0.47143516, -1.19097569, 1.43270697, -0.3126519 , -0.72058873]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:678: in logcdf params = self._process_parameters(mean, cov, allow_singular) abseps = 1e-05 allow_singular = False cov = 1 lower_limit = None maxpts = None mean = None releps = 1e-05 self = x = array([ 0.47143516, -1.19097569, 1.43270697, -0.3126519 , -0.72058873]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:422: in _process_parameters psd = _PSD(cov, allow_singular=allow_singular) allow_singular = False cov = array([[1.]]) dim = 1 mean = array([0.]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _____________ TestMultivariateNormal.test_degenerate_distributions _____________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:411: in test_degenerate_distributions distn_kk = multivariate_normal(np.zeros(k), cov_kk, cov_kk = array([[0.00033449]]) cov_nn = array([[0.00033449, 0. ], [0. , 0. ]]) cov_rr = array([[6.93140447e-06, 4.76494748e-05], [4.76494748e-05, 3.27563116e-04]]) k = 1 n = 2 s = array([[0.01828919]]) self = u = array([[-0.14395147, -0.98958475], [-0.98958475, 0.14395147]]) x = array([-0.89715678, 0. ]) y = array([0.12914704, 0.88781267]) z = array([-0.89715678, -0.13679483]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:398: in __call__ return multivariate_normal_frozen(mean, cov, allow_singular = True cov = array([[0.00033449]]) mean = array([0.]) seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:839: in __init__ self._dist._process_parameters(mean, cov, allow_singular)) abseps = 1e-05 allow_singular = True cov = array([[0.00033449]]) maxpts = None mean = array([0.]) releps = 1e-05 seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:422: in _process_parameters psd = _PSD(cov, allow_singular=allow_singular) allow_singular = True cov = array([[0.00033449]]) dim = 1 mean = array([0.]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[0.00033449]]) allow_singular = True check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[0.00033449]]) a1 = array([[0.00033449]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ____________________ TestMultivariateNormal.test_normal_1D _____________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:517: in test_normal_1D d2 = multivariate_normal.pdf(x, mean, cov) cov = 0.9 d1 = array([0.18895275, 0.24723974, 0.30623422, 0.35905383, 0.39850686, 0.41868022, 0.41638923, 0.39200077, 0.34933714, 0.29469515]) mean = 1.2 scale = 0.9486832980505138 self = x = array([0. , 0.22222222, 0.44444444, 0.66666667, 0.88888889, 1.11111111, 1.33333333, 1.55555556, 1.77777778, 2. ]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:585: in pdf params = self._process_parameters(mean, cov, allow_singular) allow_singular = False cov = 0.9 mean = 1.2 self = x = array([0. , 0.22222222, 0.44444444, 0.66666667, 0.88888889, 1.11111111, 1.33333333, 1.55555556, 1.77777778, 2. ]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:422: in _process_parameters psd = _PSD(cov, allow_singular=allow_singular) allow_singular = False cov = array([[0.9]]) dim = 1 mean = array([1.2]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[0.9]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[0.9]]) a1 = array([[0.9]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ____________________ TestMultivariateNormal.test_rvs_shape _____________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:720: in test_rvs_shape u = multivariate_normal(mean=0, cov=1) N = 300 d = 4 sample = array([[-3.21568384e-01, 3.54297713e-01], [-4.74769379e-01, -6.98867254e-01], [ 1.95009529e+00, 1.7096....78486883e-02, -1.56373285e-01], [ 2.74824256e-01, -6.48808376e-02], [ 1.70752479e+00, 6.56358333e-01]]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:398: in __call__ return multivariate_normal_frozen(mean, cov, allow_singular = False cov = 1 mean = 0 seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:839: in __init__ self._dist._process_parameters(mean, cov, allow_singular)) abseps = 1e-05 allow_singular = False cov = 1 maxpts = None mean = 0 releps = 1e-05 seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:422: in _process_parameters psd = _PSD(cov, allow_singular=allow_singular) allow_singular = False cov = array([[1.]]) dim = 1 mean = array([0.]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _____________________ TestMatrixNormal.test_default_inputs _____________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:893: in test_default_inputs assert_equal(matrix_normal(rowcov=U).mean, Zr) I1 = array([[1.]]) Ic = array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]]) Ir = array([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0., 0., 0., 1.]]) M = array([[0.3, 0.3, 0.3], [0.3, 0.3, 0.3], [0.3, 0.3, 0.3], [0.3, 0.3, 0.3]]) U = array([[1. , 0.5, 0.5, 0.5], [0.5, 1. , 0.5, 0.5], [0.5, 0.5, 1. , 0.5], [0.5, 0.5, 0.5, 1. ]]) V = array([[1. , 0.3, 0.3], [0.3, 1. , 0.3], [0.3, 0.3, 1. ]]) Z = array([[0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]) Zc = array([[0., 0., 0.]]) Zr = array([[0.], [0.], [0.], [0.]]) num_cols = 3 num_rows = 4 self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:1053: in __call__ return matrix_normal_frozen(mean, rowcov, colcov, seed=seed) colcov = 1 mean = None rowcov = array([[1. , 0.5, 0.5, 0.5], [0.5, 1. , 0.5, 0.5], [0.5, 0.5, 1. , 0.5], [0.5, 0.5, 0.5, 1. ]]) seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:1336: in __init__ self.colpsd = _PSD(self.colcov, allow_singular=False) colcov = 1 mean = None rowcov = array([[1. , 0.5, 0.5, 0.5], [0.5, 1. , 0.5, 0.5], [0.5, 0.5, 1. , 0.5], [0.5, 0.5, 0.5, 1. ]]) seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' __________________ TestMatrixNormal.test_frozen_matrix_normal __________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:930: in test_frozen_matrix_normal frozen = matrix_normal(mean=M, rowcov=U, colcov=V) M = array([[0.3]]) U = array([[1.]]) V = array([[1.]]) i = 1 j = 1 self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:1053: in __call__ return matrix_normal_frozen(mean, rowcov, colcov, seed=seed) colcov = array([[1.]]) mean = array([[0.3]]) rowcov = array([[1.]]) seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:1335: in __init__ self.rowpsd = _PSD(self.rowcov, allow_singular=False) colcov = array([[1.]]) mean = array([[0.3]]) rowcov = array([[1.]]) seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' __________________ TestMatrixNormal.test_matches_multivariate __________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:956: in test_matches_multivariate frozen = matrix_normal(mean=M, rowcov=U, colcov=V) M = array([[0.3]]) U = array([[1.]]) V = array([[1.]]) i = 1 j = 1 self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:1053: in __call__ return matrix_normal_frozen(mean, rowcov, colcov, seed=seed) colcov = array([[1.]]) mean = array([[0.3]]) rowcov = array([[1.]]) seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:1335: in __init__ self.rowpsd = _PSD(self.rowcov, allow_singular=False) colcov = array([[1.]]) mean = array([[0.3]]) rowcov = array([[1.]]) seed = None self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _______________ TestMultivariateT.test_mvt_with_df_one_is_cauchy _______________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2270: in test_mvt_with_df_one_is_cauchy val = multivariate_t.pdf(x, df=1) self = x = [9, 7, 4, 1, -3, 9, ...] lib/python3.12/site-packages/scipy/stats/_multivariate.py:4400: in pdf shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 1 dim = 1 loc = array([0.]) self = shape = array([[1.]]) x = array([[ 9.], [ 7.], [ 4.], [ 1.], [-3.], [ 9.], [ 0.], [-3.], [-1.], [ 3.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ___________ TestMultivariateT.test_mvt_with_high_df_is_approx_normal ___________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2281: in test_mvt_with_high_df_is_approx_normal dist = multivariate_t(0, 1, df=100000, seed=1) P_VAL_MIN = 0.1 self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 100000 loc = 0 seed = 1 self = shape = 1 lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 100000 dim = 1 loc = array([0.]) seed = 1 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _____________ TestMultivariateT.test_mvt_with_inf_df_calls_normal ______________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2294: in test_mvt_with_inf_df_calls_normal dist = multivariate_t(0, 1, df=np.inf, seed=7) mock = self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:4368: in __call__ return multivariate_normal_frozen(mean=loc, cov=shape, allow_singular = False df = inf loc = 0 seed = 7 self = shape = 1 lib/python3.12/site-packages/scipy/stats/_multivariate.py:839: in __init__ self._dist._process_parameters(mean, cov, allow_singular)) abseps = 1e-05 allow_singular = False cov = 1 maxpts = None mean = 0 releps = 1e-05 seed = 7 self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:422: in _process_parameters psd = _PSD(cov, allow_singular=allow_singular) allow_singular = False cov = array([[1.]]) dim = 1 mean = array([0.]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ___________________ TestMultivariateT.test_shape_correctness ___________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2324: in test_shape_correctness res = multivariate_t(np.zeros(1), np.eye(1), 1).rvs() df = 4.5 dim = 4 loc = array([0., 0., 0., 0.]) n_samples = 7 res = array([-4.68742839, -4.40403816, -3.53200907, -3.78975354, -5.11967169, -5.02429073, -4.90326889]) self = shape = array([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0., 0., 0., 1.]]) x = array([[0.04303899, 0.79979432, 0.70951175, 0.76190274], [0.63636186, 0.66081095, 0.68532005, 0.11207342], ...77], [0.86754733, 0.4104457 , 0.57562735, 0.99322485], [0.01696633, 0.87422474, 0.95539621, 0.61026047]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 1 loc = array([0.]) seed = None self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 1 dim = 1 loc = array([0.]) seed = None self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ___________________ TestMultivariateT.test_default_arguments ___________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2334: in test_default_arguments dist = multivariate_t() self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 1 loc = None seed = None self = shape = 1 lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 1 dim = 1 loc = array([0.]) seed = None self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' __________ TestMultivariateT.test_default_args[None-None-None-0-1-1] ___________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2352: in test_default_args dist = multivariate_t(loc=loc, shape=shape, df=df) df = None df_ans = 1 loc = None loc_ans = 0 self = shape = None shape_ans = 1 lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = None loc = None seed = None self = shape = None lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 1 dim = 1 loc = array([0.]) seed = None self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ____________ TestMultivariateT.test_default_args[None-None-7-0-1-7] ____________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2352: in test_default_args dist = multivariate_t(loc=loc, shape=shape, df=df) df = 7 df_ans = 7 loc = None loc_ans = 0 self = shape = None shape_ans = 1 lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 7 loc = None seed = None self = shape = None lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 7 dim = 1 loc = array([0.]) seed = None self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _ TestMultivariateT.test_scalar_list_and_ndarray_arguments[-1-2-3-loc_ans0-shape_ans0-3] _ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2365: in test_scalar_list_and_ndarray_arguments dist = multivariate_t(loc, shape, df) df = 3 df_ans = 3 loc = -1 loc_ans = [-1] self = shape = 2 shape_ans = [[2]] lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 3 loc = -1 seed = None self = shape = 2 lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 3 dim = 1 loc = array([-1.]) seed = None self = shape = array([[2.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[2.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[2.]]) a1 = array([[2.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _ TestMultivariateT.test_scalar_list_and_ndarray_arguments[loc1-shape1-3-loc_ans1-shape_ans1-3] _ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2365: in test_scalar_list_and_ndarray_arguments dist = multivariate_t(loc, shape, df) df = 3 df_ans = 3 loc = [-1] loc_ans = [-1] self = shape = [2] shape_ans = [[2]] lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 3 loc = [-1] seed = None self = shape = [2] lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 3 dim = 1 loc = array([-1.]) seed = None self = shape = array([[2.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[2.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[2.]]) a1 = array([[2.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _ TestMultivariateT.test_scalar_list_and_ndarray_arguments[loc2-shape2-3-loc_ans2-shape_ans2-3] _ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2365: in test_scalar_list_and_ndarray_arguments dist = multivariate_t(loc, shape, df) df = 3 df_ans = 3 loc = array([-1]) loc_ans = [-1] self = shape = array([2]) shape_ans = [[2]] lib/python3.12/site-packages/scipy/stats/_multivariate.py:4371: in __call__ return multivariate_t_frozen(loc=loc, shape=shape, df=df, allow_singular = False df = 3 loc = array([-1]) seed = None self = shape = array([2]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4739: in __init__ self.shape_info = _PSD(shape, allow_singular=allow_singular) allow_singular = False df = 3 dim = 1 loc = array([-1.]) seed = None self = shape = array([[2.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[2.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[2.]]) a1 = array([[2.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' __________ TestMultivariateT.test_cdf_against_multivariate_normal[1] ___________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2433: in test_cdf_against_multivariate_normal self.cdf_against_mvn_test(dim) dim = 1 self = lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2452: in cdf_against_mvn_test res = stats.multivariate_t.cdf(b, mean, cov, df=10000, lower_limit=a, a = array([[-16.11339478], [ -1.74179477], [-39.1786543 ]]) b = array([[-0.67133314], [ 3.95045666], [ 4.87454129]]) cov = array([[0.06728406]]) dim = 1 mean = array([-0.78954894]) n = 3 rng = Generator(PCG64) at 0x7FFB690602E0 self = singular = False w = array([0.06728406]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4556: in cdf shape = _PSD(shape, allow_singular=allow_singular)._M allow_singular = True df = 10000 dim = 1 loc = array([-0.78954894]) lower_limit = array([[-16.11339478], [ -1.74179477], [-39.1786543 ]]) maxpts = None random_state = Generator(PCG64) at 0x7FFB690602E0 self = shape = array([[0.06728406]]) x = array([[-0.67133314], [ 3.95045666], [ 4.87454129]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[0.06728406]]) allow_singular = True check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[0.06728406]]) a1 = array([[0.06728406]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _______________ TestMultivariateT.test_cdf_against_univariate_t ________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2465: in test_cdf_against_univariate_t res = stats.multivariate_t.cdf(x, mean, cov, df, lower_limit=-np.inf, cov = 2 df = 3 mean = 0 rng = Generator(PCG64) at 0x7FFB69060580 self = x = array([ 1.01348544, -0.55614742, 0.57961414, -0.39793036, 1.52203638, -1.33620624, 2.32672934, 0.2287321 , -1.0862379 , 1.17607499]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4556: in cdf shape = _PSD(shape, allow_singular=allow_singular)._M allow_singular = False df = 3 dim = 1 loc = array([0.]) lower_limit = -inf maxpts = None random_state = Generator(PCG64) at 0x7FFB69060580 self = shape = array([[2.]]) x = array([ 1.01348544, -0.55614742, 0.57961414, -0.39793036, 1.52203638, -1.33620624, 2.32672934, 0.2287321 , -1.0862379 , 1.17607499]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[2.]]) allow_singular = False check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[2.]]) a1 = array([[2.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' _____________________ TestMultivariateT.test_entropy_1d[1] _____________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2595: in test_entropy_1d mvt_entropy = stats.multivariate_t.entropy(shape=1., df=df) df = 1 self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:4588: in entropy return self._entropy(dim, df, shape) df = 1 dim = 1 loc = array([0.]) self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4565: in _entropy shape_info = _PSD(shape) df = 1 dim = 1 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = True check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ____________________ TestMultivariateT.test_entropy_1d[10] _____________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2595: in test_entropy_1d mvt_entropy = stats.multivariate_t.entropy(shape=1., df=df) df = 10 self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:4588: in entropy return self._entropy(dim, df, shape) df = 10 dim = 1 loc = array([0.]) self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4565: in _entropy shape_info = _PSD(shape) df = 10 dim = 1 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = True check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ____________________ TestMultivariateT.test_entropy_1d[100] ____________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:2595: in test_entropy_1d mvt_entropy = stats.multivariate_t.entropy(shape=1., df=df) df = 100 self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:4588: in entropy return self._entropy(dim, df, shape) df = 100 dim = 1 loc = array([0.]) self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:4565: in _entropy shape_info = _PSD(shape) df = 100 dim = 1 self = shape = array([[1.]]) lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = True check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' __________________________ test_random_state_property __________________________ lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py:3184: in test_random_state_property check_random_state_property(distfn, args) args = () distfn = dists = [[, ()], [, (5, [0.5, 0.4, 0.1])], [, (2,)], ...] scale = array([[1. , 0.5, 0. ], [0.5, 1. , 0. ], [0. , 0. , 1. ]]) lib/python3.12/site-packages/scipy/stats/tests/common_tests.py:202: in check_random_state_property r0 = distfn.rvs(*args, size=8) args = () distfn = rndm = RandomState(MT19937) at 0x7FFB92D7EF40 lib/python3.12/site-packages/scipy/stats/_multivariate.py:753: in rvs dim, mean, cov_object = self._process_parameters(mean, cov) cov = 1 mean = None random_state = None self = size = 8 lib/python3.12/site-packages/scipy/stats/_multivariate.py:422: in _process_parameters psd = _PSD(cov, allow_singular=allow_singular) allow_singular = True cov = array([[1.]]) dim = 1 mean = array([0.]) self = lib/python3.12/site-packages/scipy/stats/_multivariate.py:167: in __init__ s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite) M = array([[1.]]) allow_singular = True check_finite = True cond = None lower = True rcond = None self = lib/python3.12/site-packages/scipy/linalg/_decomp.py:560: in eigh w, v, *other_args, info = drv(a=a1, **drv_args, **lwork_args) E _flapack.error: (liwork>=max(1,10*n)||liwork==-1) failed for 10th keyword liwork: dsyevr:liwork=1 _job = 'V' a = array([[1.]]) a1 = array([[1.]]) b = None check_finite = True clw_args = {'lower': True, 'n': 1} cplx = False driver = 'evr' drv = drv_args = {'compute_v': 1, 'lower': True, 'overwrite_a': False} drv_str = [None, 'ev', 'evd', 'evr', 'evx', 'gv', ...] drvlw = eigvals = None eigvals_only = False lower = True lw = (33, 1) lwork_args = {'liwork': 1, 'lwork': 33} lwork_spec = {'heevd': ['lwork', 'liwork', 'lrwork'], 'heevr': ['lwork', 'lrwork', 'liwork'], 'syevd': ['lwork', 'liwork'], 'syevr': ['lwork', 'liwork']} n = 1 overwrite_a = False overwrite_b = False pfx = 'sy' subset = False subset_by_index = None subset_by_value = None turbo = False type = 1 uplo = 'L' ___________________________ TestMoments.test_moment ____________________________ lib/python3.12/site-packages/scipy/stats/tests/test_stats.py:3107: in test_moment with pytest.warns(RuntimeWarning, match=message): E RuntimeWarning: invalid value encountered in scalar divide message = 'Mean of empty slice.' self = y = array([], shape=(2, 0), dtype=float64) __________________________ TestMoments.test_empty_1d ___________________________ lib/python3.12/site-packages/scipy/stats/tests/test_stats.py:3274: in test_empty_1d with pytest.warns(RuntimeWarning, match=message): E RuntimeWarning: invalid value encountered in divide message = 'Mean of empty slice.' self = _______________ TestBrunnerMunzel.test_brunnermunzel_return_nan ________________ lib/python3.12/site-packages/scipy/stats/tests/test_stats.py:7642: in test_brunnermunzel_return_nan with pytest.warns(RuntimeWarning, match='p-value cannot be estimated'): E RuntimeWarning: divide by zero encountered in scalar divide self = x = [1, 2, 3] y = [5, 6, 7, 8, 9] =========================== short test summary info ============================ FAILED lib/python3.12/site-packages/scipy/linalg/tests/test_decomp_polar.py::test_verify_cases FAILED lib/python3.12/site-packages/scipy/linalg/tests/test_special_matrices.py::test_special_matrices_deprecation[tri] FAILED lib/python3.12/site-packages/scipy/optimize/tests/test__differential_evolution.py::TestDifferentialEvolutionSolver::test_immediate_updating FAILED lib/python3.12/site-packages/scipy/optimize/tests/test_optimize.py::TestBrute::test_runtime_warning FAILED lib/python3.12/site-packages/scipy/signal/tests/test_filter_design.py::TestButtord::test_runtime_warnings FAILED lib/python3.12/site-packages/scipy/signal/tests/test_signaltools.py::TestFFTConvolve::test_fft_nan FAILED lib/python3.12/site-packages/scipy/signal/tests/test_signaltools.py::TestMedFilt::test_none FAILED lib/python3.12/site-packages/scipy/signal/tests/test_signaltools.py::TestMedFilt::test_refcounting FAILED lib/python3.12/site-packages/scipy/signal/tests/test_windows.py::test_deprecated_import[chebwin-args15] FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py::test_ElasticRod FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py::test_regression FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py::test_failure_to_run_iterations_nonsymmetric FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py::test_hermitian FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py::test_verbosity FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py::test_inplace_warning FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py::test_maxit FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py::test_diagonal_data_types[1-15] FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py::Test_SVDS_LOBPCG::test_svd_v0 FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py::Test_SVDS_LOBPCG::test_svd_random_state FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py::Test_SVDS_LOBPCG::test_svd_random_state_2[0] FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py::Test_SVDS_LOBPCG::test_svd_random_state_2[1] FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py::Test_SVDS_LOBPCG::test_svd_random_state_2[random_state2] FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py::Test_SVDS_LOBPCG::test_svd_random_state_2[random_state3] FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests/test_svds.py::Test_SVDS_LOBPCG::test_svd_maxiter FAILED lib/python3.12/site-packages/scipy/sparse/linalg/_isolve/tests/test_iterative.py::TestGMRES::test_restrt_dep FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::TestCOO::test_multiple_ellipsis_slicing FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::TestDIA::test_multiple_ellipsis_slicing FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::TestBSR::test_multiple_ellipsis_slicing FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::TestBSRNonCanonical::test_multiple_ellipsis_slicing FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::TestCOONonCanonical::test_multiple_ellipsis_slicing FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_limit_10[TestBSR-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_limit_10[TestCOO-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_limit_10[TestDIA-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_random[TestBSR-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_random[TestCOO-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_random[TestDIA-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_all_32[TestBSR-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_all_32[TestCOO-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_all_32[TestDIA-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_all_64[TestBSR-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_all_64[TestCOO-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_resiliency_all_64[TestDIA-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_no_64[TestBSR-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_no_64[TestCOO-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_base.py::Test64Bit::test_no_64[TestDIA-test_multiple_ellipsis_slicing] FAILED lib/python3.12/site-packages/scipy/spatial/transform/tests/test_rotation.py::test_as_euler_symmetric_axes FAILED lib/python3.12/site-packages/scipy/stats/tests/test_fit.py::TestFit::test_guess_iv FAILED lib/python3.12/site-packages/scipy/stats/tests/test_mstats_basic.py::test_theilslopes_warnings FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py::TestDunnett::test_critical_values[0.5-1-10-1.81-0.05-greater] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py::TestDunnett::test_critical_values[0.5-1-10-2.23-0.05-two-sided] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py::TestDunnett::test_ttest_ind[two-sided] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py::TestDunnett::test_ttest_ind[less] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py::TestDunnett::test_ttest_ind[greater] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multicomp.py::TestDunnett::test_shapes[1] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateNormal::test_scalar_values FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateNormal::test_logpdf_default_values FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateNormal::test_logcdf_default_values FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateNormal::test_degenerate_distributions FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateNormal::test_normal_1D FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateNormal::test_rvs_shape FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMatrixNormal::test_default_inputs FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMatrixNormal::test_frozen_matrix_normal FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMatrixNormal::test_matches_multivariate FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_mvt_with_df_one_is_cauchy FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_mvt_with_high_df_is_approx_normal FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_mvt_with_inf_df_calls_normal FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_shape_correctness FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_default_arguments FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_default_args[None-None-None-0-1-1] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_default_args[None-None-7-0-1-7] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_scalar_list_and_ndarray_arguments[-1-2-3-loc_ans0-shape_ans0-3] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_scalar_list_and_ndarray_arguments[loc1-shape1-3-loc_ans1-shape_ans1-3] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_scalar_list_and_ndarray_arguments[loc2-shape2-3-loc_ans2-shape_ans2-3] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_cdf_against_multivariate_normal[1] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_cdf_against_univariate_t FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_entropy_1d[1] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_entropy_1d[10] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::TestMultivariateT::test_entropy_1d[100] FAILED lib/python3.12/site-packages/scipy/stats/tests/test_multivariate.py::test_random_state_property FAILED lib/python3.12/site-packages/scipy/stats/tests/test_stats.py::TestMoments::test_moment FAILED lib/python3.12/site-packages/scipy/stats/tests/test_stats.py::TestMoments::test_empty_1d FAILED lib/python3.12/site-packages/scipy/stats/tests/test_stats.py::TestBrunnerMunzel::test_brunnermunzel_return_nan ERROR lib/python3.12/site-packages/scipy/_lib/tests/test_warnings.py::test_warning_calls_filters = 82 failed, 54732 passed, 3014 skipped, 224 xfailed, 15 xpassed, 1 error in 2433.76s (0:40:33) = Normal return from subroutine COBYLA NFVALS = 50 F = 2.485185E+01 MAXCV = 1.999965E-10 X = 4.955358E+00 6.666553E-01 NNLS quitting on iteration count. RUNNING THE L-BFGS-B CODE * * * Machine precision = 2.220D-16 N = 2 M = 10 * * * Tit = total number of iterations Tnf = total number of function evaluations Tnint = total number of segments explored during Cauchy searches Skip = number of BFGS updates skipped Nact = number of active bounds at final generalized Cauchy point Projg = norm of the final projected gradient F = final function value * * * N Tit Tnf Tnint Skip Nact Projg F 2 1 2 2 0 2 0.000D+00 1.604D+03 CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL >>> py3-scipy: Entering fakeroot... >>> py3-scipy-tests*: Running split function tests... '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/sparse/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/sparse/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/sparse/csgraph/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/sparse/csgraph/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_dsolve/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_dsolve/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/arpack/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/arpack/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_isolve/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/sparse/linalg/_isolve/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/sparse/linalg/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/sparse/linalg/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/special/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/special/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/datasets/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/datasets/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/fft/_pocketfft/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/fft/_pocketfft/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/fft/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/fft/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/io/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/io/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/io/_harwell_boeing/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/io/_harwell_boeing/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/io/matlab/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/io/matlab/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/io/arff/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/io/arff/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/signal/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/signal/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/odr/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/odr/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/ndimage/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/ndimage/tests' 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'/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/_lib/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/_lib/tests' '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/stats/tests' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-tests/usr/lib/python3.12/site-packages/scipy/stats/tests' >>> py3-scipy-tests*: Preparing subpackage py3-scipy-tests... >>> py3-scipy-tests*: Stripping binaries >>> WARNING: py3-scipy-tests*: No arch specific binaries found so arch should probably be set to "noarch" >>> py3-scipy-tests*: Running postcheck for py3-scipy-tests >>> WARNING: py3-scipy-tests*: Found __pycache__ but package name doesn't end with -pyc >>> py3-scipy-pyc*: Running split function pyc... 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'/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy/usr/lib/python3.12/site-packages/scipy/stats/__pycache__' -> '/home/buildozer/aports/community/py3-scipy/pkg/py3-scipy-pyc/usr/lib/python3.12/site-packages/scipy/stats/__pycache__' >>> py3-scipy-pyc*: Preparing subpackage py3-scipy-pyc... >>> py3-scipy-pyc*: Running postcheck for py3-scipy-pyc >>> py3-scipy*: Running postcheck for py3-scipy >>> py3-scipy*: Preparing package py3-scipy... >>> py3-scipy*: Stripping binaries >>> py3-scipy-pyc*: Scanning shared objects >>> py3-scipy-tests*: Scanning shared objects >>> py3-scipy*: Scanning shared objects >>> py3-scipy-pyc*: Tracing dependencies... py3-pooch py3-numpy python3~3.12 >>> py3-scipy-pyc*: Package size: 11.2 MB >>> py3-scipy-pyc*: Compressing data... >>> py3-scipy-pyc*: Create checksum... >>> py3-scipy-pyc*: Create py3-scipy-pyc-1.11.4-r2.apk >>> py3-scipy-tests*: Tracing dependencies... py3-pooch py3-numpy python3~3.12 >>> py3-scipy-tests*: Package size: 25.0 MB >>> py3-scipy-tests*: Compressing data... >>> py3-scipy-tests*: Create checksum... >>> py3-scipy-tests*: Create py3-scipy-tests-1.11.4-r2.apk >>> py3-scipy*: Tracing dependencies... py3-pooch py3-numpy openblas python3~3.12 so:libc.musl-ppc64le.so.1 so:libgcc_s.so.1 so:libgfortran.so.5 so:libstdc++.so.6 >>> py3-scipy*: Package size: 63.0 MB >>> py3-scipy*: Compressing data... >>> py3-scipy*: Create checksum... >>> py3-scipy*: Create py3-scipy-1.11.4-r2.apk >>> py3-scipy: Build complete at Thu, 25 Apr 2024 03:11:14 +0000 elapsed time 0h 45m 49s >>> py3-scipy: Cleaning up srcdir >>> py3-scipy: Cleaning up pkgdir >>> py3-scipy: Uninstalling dependencies... (1/85) Purging .makedepends-py3-scipy (20240425.022525) (2/85) Purging py3-pooch-pyc (1.8.1-r1) (3/85) Purging py3-pooch (1.8.1-r1) (4/85) Purging py3-platformdirs-pyc (4.2.0-r1) (5/85) Purging py3-platformdirs (4.2.0-r1) (6/85) Purging py3-requests-pyc (2.31.0-r2) (7/85) Purging py3-requests (2.31.0-r2) (8/85) Purging py3-certifi-pyc (2024.2.2-r1) (9/85) Purging py3-certifi (2024.2.2-r1) (10/85) Purging py3-charset-normalizer-pyc (3.3.2-r1) (11/85) Purging py3-charset-normalizer (3.3.2-r1) (12/85) Purging py3-idna-pyc (3.7-r0) (13/85) Purging py3-idna (3.7-r0) (14/85) Purging py3-urllib3-pyc (1.26.18-r1) (15/85) Purging py3-urllib3 (1.26.18-r1) (16/85) Purging cython-pyc (3.0.10-r0) (17/85) Purging cython (3.0.10-r0) (18/85) Purging openblas-dev (0.3.27-r0) (19/85) Purging gfortran (13.2.1_git20240309-r0) (20/85) Purging libquadmath (13.2.1_git20240309-r0) (21/85) Purging liblapack (0.3.27-r0) (22/85) Purging liblapacke (0.3.27-r0) (23/85) Purging py3-gpep517-pyc (15-r2) (24/85) Purging py3-gpep517 (15-r2) (25/85) Purging py3-installer-pyc (0.7.0-r2) (26/85) Purging py3-installer (0.7.0-r2) (27/85) Purging py3-meson-python-pyc (0.15.0-r1) (28/85) Purging py3-meson-python (0.15.0-r1) (29/85) Purging meson-pyc (1.4.0-r2) (30/85) Purging meson (1.4.0-r2) (31/85) Purging samurai (1.2-r5) (32/85) Purging py3-pyproject-metadata-pyc (0.7.1-r5) (33/85) Purging py3-pyproject-metadata (0.7.1-r5) (34/85) Purging py3-numpy-dev (1.25.2-r1) (35/85) Purging py3-numpy-f2py (1.25.2-r1) (36/85) Purging py3-pybind11-dev (2.12.0-r1) (37/85) Purging py3-pybind11-pyc (2.12.0-r1) (38/85) Purging py3-pybind11 (2.12.0-r1) (39/85) Purging py3-setuptools-pyc (69.5.1-r0) (40/85) Purging py3-setuptools (69.5.1-r0) (41/85) Purging py3-wheel-pyc (0.42.0-r1) (42/85) Purging py3-wheel (0.42.0-r1) (43/85) Purging python3-dev (3.12.3-r1) (44/85) Purging pythran-pyc (0.15.0-r1) (45/85) Purging pythran (0.15.0-r1) (46/85) Purging py3-beniget-pyc (0.4.1-r4) (47/85) Purging py3-beniget (0.4.1-r4) (48/85) Purging py3-gast-pyc (0.5.4-r3) (49/85) Purging py3-gast (0.5.4-r3) (50/85) Purging py3-numpy-pyc (1.25.2-r1) (51/85) Purging py3-numpy (1.25.2-r1) (52/85) Purging openblas (0.3.27-r0) (53/85) Purging py3-ply-pyc (3.11-r11) (54/85) Purging py3-ply (3.11-r11) (55/85) Purging py3-hypothesis-pyc (6.99.4-r1) (56/85) Purging py3-hypothesis (6.99.4-r1) (57/85) Purging py3-attrs-pyc (23.2.0-r1) (58/85) Purging py3-attrs (23.2.0-r1) (59/85) Purging py3-sortedcontainers-pyc (2.4.0-r5) (60/85) Purging py3-sortedcontainers (2.4.0-r5) (61/85) Purging py3-pytest-pyc (8.1.1-r1) (62/85) Purging py3-pytest (8.1.1-r1) (63/85) Purging py3-iniconfig-pyc (2.0.0-r1) (64/85) Purging py3-iniconfig (2.0.0-r1) (65/85) Purging py3-packaging-pyc (24.0-r1) (66/85) Purging py3-packaging (24.0-r1) (67/85) Purging py3-parsing-pyc (3.1.2-r1) (68/85) Purging py3-parsing (3.1.2-r1) (69/85) Purging py3-pluggy-pyc (1.4.0-r1) (70/85) Purging py3-pluggy (1.4.0-r1) (71/85) Purging py3-py-pyc (1.11.0-r3) (72/85) Purging py3-py (1.11.0-r3) (73/85) Purging python3-pyc (3.12.3-r1) (74/85) Purging python3-pycache-pyc0 (3.12.3-r1) (75/85) Purging pyc (3.12.3-r1) (76/85) Purging python3 (3.12.3-r1) (77/85) Purging gdbm (1.23-r1) (78/85) Purging libbz2 (1.0.8-r6) (79/85) Purging libffi (3.4.6-r0) (80/85) Purging libgfortran (13.2.1_git20240309-r0) (81/85) Purging libpanelw (6.4_p20240330-r0) (82/85) Purging mpdecimal (4.0.0-r0) (83/85) Purging readline (8.2.10-r0) (84/85) Purging sqlite-libs (3.45.3-r0) (85/85) Purging xz-libs (5.6.1-r3) Executing busybox-1.36.1-r25.trigger OK: 414 MiB in 102 packages >>> py3-scipy: Updating the community/ppc64le repository index... >>> py3-scipy: Signing the index...