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July 24, 2025 01:24
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| Sourcing python-remove-tests-dir-hook | |
| Sourcing python-catch-conflicts-hook.sh | |
| Sourcing python-remove-bin-bytecode-hook.sh | |
| Sourcing pypa-build-hook | |
| Using pypaBuildPhase | |
| Sourcing python-runtime-deps-check-hook | |
| Using pythonRuntimeDepsCheckHook | |
| Sourcing pypa-install-hook | |
| Using pypaInstallPhase | |
| Sourcing python-imports-check-hook.sh | |
| Using pythonImportsCheckPhase | |
| Sourcing python-namespaces-hook | |
| Sourcing python-catch-conflicts-hook.sh | |
| Sourcing pytest-check-hook | |
| Using pytestCheckPhase | |
| Running phase: unpackPhase | |
| @nix { "action": "setPhase", "phase": "unpackPhase" } | |
| unpacking source archive /nix/store/g0kgcrw13kaaw8sy1wqi12p9xpqlzfcs-numpy-2.3.1.tar.gz | |
| source root is numpy-2.3.1 | |
| setting SOURCE_DATE_EPOCH to timestamp 1750458829 of file "numpy-2.3.1/numpy/version.py" | |
| Running phase: patchPhase | |
| @nix { "action": "setPhase", "phase": "patchPhase" } | |
| applying patch /nix/store/akkzpja8cibm9g75gj070dh4j2sgcj2r-numpy-distutils-C++.patch | |
| patching file numpy/distutils/unixccompiler.py | |
| Hunk #1 succeeded at 41 with fuzz 2 (offset 4 lines). | |
| Hunk #2 succeeded at 49 with fuzz 1 (offset 4 lines). | |
| Running phase: updateAutotoolsGnuConfigScriptsPhase | |
| @nix { "action": "setPhase", "phase": "updateAutotoolsGnuConfigScriptsPhase" } | |
| Running phase: configurePhase | |
| @nix { "action": "setPhase", "phase": "configurePhase" } | |
| no configure script, doing nothing | |
| Running phase: buildPhase | |
| @nix { "action": "setPhase", "phase": "buildPhase" } | |
| Executing pypaBuildPhase | |
| Creating a wheel... | |
| pypa build flags: --no-isolation --outdir dist/ --wheel | |
| * Getting build dependencies for wheel... | |
| * Building wheel... | |
| + /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1/vendored-meson/meson/meson.py setup /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1 /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1/.mesonpy-ecoxq2pq -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1/.mesonpy-ecoxq2pq/meson-python-native-file.ini | |
| The Meson build system | |
| Version: 1.6.1 | |
| Source dir: /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1 | |
| Build dir: /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1/.mesonpy-ecoxq2pq | |
| Build type: native build | |
| Project name: NumPy | |
| Project version: 2.3.1 | |
| C compiler for the host machine: clang (clang 19.1.7 "clang version 19.1.7") | |
| C linker for the host machine: clang ld64 954.16 | |
| C++ compiler for the host machine: clang++ (clang 19.1.7 "clang version 19.1.7") | |
| C++ linker for the host machine: clang++ ld64 954.16 | |
| Cython compiler for the host machine: cython (cython 3.0.12) | |
| Host machine cpu family: aarch64 | |
| Host machine cpu: aarch64 | |
| Program python found: YES (/nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13) | |
| Found pkg-config: YES (/nix/store/ln3ag9li111lb1z3d5kx85lmbwl02jxl-pkg-config-wrapper-0.29.2/bin/pkg-config) 0.29.2 | |
| Run-time dependency python found: YES 3.13 | |
| Has header "Python.h" with dependency python-3.13: YES | |
| Compiler for C supports arguments -fno-strict-aliasing: YES | |
| Compiler for C supports arguments -ftrapping-math: YES | |
| Message: During parsing cpu-dispatch: The following CPU features were ignored due to platform incompatibility or lack of support: | |
| "XOP FMA4" | |
| Test features "NEON NEON_FP16 NEON_VFPV4 ASIMD" : Supported | |
| Test features "ASIMDHP" : Supported | |
| Test features "ASIMDFHM" : Supported | |
| Test features "SVE" : Unsupported due to Compiler fails against the test code of "SVE" | |
| Configuring npy_cpu_dispatch_config.h using configuration | |
| Message: | |
| CPU Optimization Options | |
| baseline: | |
| Requested : min | |
| Enabled : NEON NEON_FP16 NEON_VFPV4 ASIMD | |
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| Requested : max -xop -fma4 | |
| Enabled : ASIMDHP ASIMDFHM | |
| Library m found: YES | |
| Run-time dependency scipy-openblas found: NO (tried pkgconfig) | |
| Run-time dependency accelerate found: NO (tried system) | |
| Did not find CMake 'cmake' | |
| Found CMake: NO | |
| Run-time dependency openblas found: NO (tried pkgconfig, pkgconfig, pkgconfig, system and cmake) | |
| Run-time dependency flexiblas found: NO (tried pkgconfig, framework and cmake) | |
| Run-time dependency blis found: NO (tried pkgconfig, framework and cmake) | |
| Run-time dependency blas found: YES 3 | |
| Message: BLAS symbol suffix: | |
| Run-time dependency accelerate found: NO (tried system) | |
| Run-time dependency openblas found: NO (tried pkgconfig, pkgconfig, pkgconfig, system and cmake) | |
| Run-time dependency flexiblas found: NO (tried pkgconfig, framework and cmake) | |
| Run-time dependency lapack found: YES 3 | |
| Checking if "Check atomic builtins without -latomic" : links: YES | |
| Program _build_utils/process_src_template.py found: YES (/nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1/numpy/_build_utils/process_src_template.py) | |
| Program _build_utils/tempita.py found: YES (/nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1/numpy/_build_utils/tempita.py) | |
| Configuring __config__.py using configuration | |
| Checking for size of "short" : 2 | |
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| Checking for size of "Py_intptr_t" with dependency python-3.13: 8 | |
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| Has header "complex.h" : YES | |
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| Checking for function "signbit" with dependency -lm: YES | |
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| Checking if "thread_local" compiles: NO | |
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| Checking if "__declspec(thread)" compiles: NO | |
| Checking for function "fallocate" : NO | |
| Header "Python.h" has symbol "HAVE_FTELLO" with dependency python-3.13: YES | |
| Header "Python.h" has symbol "HAVE_FSEEKO" with dependency python-3.13: YES | |
| Checking for function "backtrace" : YES | |
| Checking for function "madvise" : YES | |
| Has header "features.h" : NO | |
| Has header "xlocale.h" : YES | |
| Has header "dlfcn.h" : YES | |
| Has header "execinfo.h" : YES | |
| Has header "libunwind.h" : YES | |
| Has header "sys/mman.h" : YES | |
| Checking for function "strtold_l" : YES | |
| Checking if "__attribute__((optimize("unroll-loops")))" compiles: NO | |
| Checking if "__attribute__((optimize("O3")))" compiles: NO | |
| Checking if "__attribute__((nonnull(1)))" compiles: NO | |
| Compiler for C supports arguments -O3: YES | |
| Has header "endian.h" : NO | |
| Has header "sys/endian.h" : NO | |
| Compiler for C supports function attribute visibility:hidden: YES | |
| Configuring config.h using configuration | |
| Configuring _numpyconfig.h using configuration | |
| Configuring npymath.ini using configuration | |
| Configuring mlib.ini using configuration | |
| Configuring numpy.pc using configuration | |
| Generating multi-targets for "_umath_tests.dispatch.h" | |
| Enabled targets: ASIMDHP, baseline | |
| Generating multi-targets for "argfunc.dispatch.h" | |
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| Generating multi-targets for "x86_simd_argsort.dispatch.h" | |
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| Enabled targets: ASIMD | |
| Generating multi-targets for "highway_qsort_16bit.dispatch.h" | |
| Enabled targets: ASIMDHP | |
| Generating multi-targets for "loops_arithm_fp.dispatch.h" | |
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| Generating multi-targets for "loops_arithmetic.dispatch.h" | |
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| Generating multi-targets for "loops_comparison.dispatch.h" | |
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| Generating multi-targets for "loops_exponent_log.dispatch.h" | |
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| Generating multi-targets for "loops_hyperbolic.dispatch.h" | |
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| Generating multi-targets for "loops_minmax.dispatch.h" | |
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| Generating multi-targets for "loops_unary.dispatch.h" | |
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| Generating multi-targets for "loops_unary_fp.dispatch.h" | |
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| Generating multi-targets for "loops_unary_fp_le.dispatch.h" | |
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| Generating multi-targets for "_simd.dispatch.h" | |
| Enabled targets: baseline | |
| Build targets in project: 65 | |
| NumPy 2.3.1 | |
| User defined options | |
| Native files: /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1/.mesonpy-ecoxq2pq/meson-python-native-file.ini | |
| b_ndebug : if-release | |
| b_vscrt : md | |
| buildtype : release | |
| Found ninja-1.12.1 at /nix/store/d15al8f1zamlazg35amx1kgw4dk3m249-ninja-1.12.1/bin/ninja | |
| + /nix/store/d15al8f1zamlazg35amx1kgw4dk3m249-ninja-1.12.1/bin/ninja | |
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| Successfully built numpy-2.3.1-cp313-cp313-macosx_11_0_arm64.whl | |
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| patching script interpreter paths in /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1 | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/print_coercion_tables.py: interpreter directive changed from "#!/usr/bin/env python3" to "/nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3" | |
| stripping (with command strip and flags -S) in /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/bin | |
| checking for references to /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/ in /nix/store/zbzz9jh459crvryxpsnm5z2cik3qpfcq-python3.13-numpy-2.3.1-dist... | |
| patching script interpreter paths in /nix/store/zbzz9jh459crvryxpsnm5z2cik3qpfcq-python3.13-numpy-2.3.1-dist | |
| Rewriting #!/nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 to #!/nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5 | |
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| Rewriting #!/nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 to #!/nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5 | |
| wrapping `/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/bin/numpy-config'... | |
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| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1 /nix/var/nix/builds/nix-build-python3.13-numpy-2.3.1.drv-0/numpy-2.3.1 | |
| pytest flags: -m pytest -k not\ \(test_api_importable\)\ and\ not\ \(test_iter_refcount\)\ and\ not\ \(test_validate_transcendentals\) -m not\ slow --numprocesses=16 | |
| ============================= test session starts ============================== | |
| platform darwin -- Python 3.13.5, pytest-8.3.5, pluggy-1.6.0 | |
| rootdir: /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1 | |
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| =================================== FAILURES =================================== | |
| _____________________ TestEinsum.test_einsum_sums_float32 ______________________ | |
| [gw4] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <test_einsum.TestEinsum object at 0x13ad15db0> | |
| def test_einsum_sums_float32(self): | |
| > self.check_einsum_sums('f4') | |
| lib/python3.13/site-packages/numpy/_core/tests/test_einsum.py:705: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <test_einsum.TestEinsum object at 0x13ad15db0>, dtype = dtype('float32') | |
| do_opt = False | |
| def check_einsum_sums(self, dtype, do_opt=False): | |
| dtype = np.dtype(dtype) | |
| # Check various sums. Does many sizes to exercise unrolled loops. | |
| # sum(a, axis=-1) | |
| for n in range(1, 17): | |
| a = np.arange(n, dtype=dtype) | |
| b = np.sum(a, axis=-1) | |
| if hasattr(b, 'astype'): | |
| b = b.astype(dtype) | |
| assert_equal(np.einsum("i->", a, optimize=do_opt), b) | |
| assert_equal(np.einsum(a, [0], [], optimize=do_opt), b) | |
| for n in range(1, 17): | |
| a = np.arange(2 * 3 * n, dtype=dtype).reshape(2, 3, n) | |
| b = np.sum(a, axis=-1) | |
| if hasattr(b, 'astype'): | |
| b = b.astype(dtype) | |
| assert_equal(np.einsum("...i->...", a, optimize=do_opt), b) | |
| assert_equal(np.einsum(a, [Ellipsis, 0], [Ellipsis], optimize=do_opt), b) | |
| # sum(a, axis=0) | |
| for n in range(1, 17): | |
| a = np.arange(2 * n, dtype=dtype).reshape(2, n) | |
| b = np.sum(a, axis=0) | |
| if hasattr(b, 'astype'): | |
| b = b.astype(dtype) | |
| assert_equal(np.einsum("i...->...", a, optimize=do_opt), b) | |
| assert_equal(np.einsum(a, [0, Ellipsis], [Ellipsis], optimize=do_opt), b) | |
| for n in range(1, 17): | |
| a = np.arange(2 * 3 * n, dtype=dtype).reshape(2, 3, n) | |
| b = np.sum(a, axis=0) | |
| if hasattr(b, 'astype'): | |
| b = b.astype(dtype) | |
| assert_equal(np.einsum("i...->...", a, optimize=do_opt), b) | |
| assert_equal(np.einsum(a, [0, Ellipsis], [Ellipsis], optimize=do_opt), b) | |
| # trace(a) | |
| for n in range(1, 17): | |
| a = np.arange(n * n, dtype=dtype).reshape(n, n) | |
| b = np.trace(a) | |
| if hasattr(b, 'astype'): | |
| b = b.astype(dtype) | |
| assert_equal(np.einsum("ii", a, optimize=do_opt), b) | |
| assert_equal(np.einsum(a, [0, 0], optimize=do_opt), b) | |
| # gh-15961: should accept numpy int64 type in subscript list | |
| np_array = np.asarray([0, 0]) | |
| assert_equal(np.einsum(a, np_array, optimize=do_opt), b) | |
| assert_equal(np.einsum(a, list(np_array), optimize=do_opt), b) | |
| # multiply(a, b) | |
| assert_equal(np.einsum("..., ...", 3, 4), 12) # scalar case | |
| for n in range(1, 17): | |
| a = np.arange(3 * n, dtype=dtype).reshape(3, n) | |
| b = np.arange(2 * 3 * n, dtype=dtype).reshape(2, 3, n) | |
| assert_equal(np.einsum("..., ...", a, b, optimize=do_opt), | |
| np.multiply(a, b)) | |
| assert_equal(np.einsum(a, [Ellipsis], b, [Ellipsis], optimize=do_opt), | |
| np.multiply(a, b)) | |
| # inner(a,b) | |
| for n in range(1, 17): | |
| a = np.arange(2 * 3 * n, dtype=dtype).reshape(2, 3, n) | |
| b = np.arange(n, dtype=dtype) | |
| assert_equal(np.einsum("...i, ...i", a, b, optimize=do_opt), np.inner(a, b)) | |
| assert_equal(np.einsum(a, [Ellipsis, 0], b, [Ellipsis, 0], optimize=do_opt), | |
| np.inner(a, b)) | |
| for n in range(1, 11): | |
| a = np.arange(n * 3 * 2, dtype=dtype).reshape(n, 3, 2) | |
| b = np.arange(n, dtype=dtype) | |
| assert_equal(np.einsum("i..., i...", a, b, optimize=do_opt), | |
| np.inner(a.T, b.T).T) | |
| assert_equal(np.einsum(a, [0, Ellipsis], b, [0, Ellipsis], optimize=do_opt), | |
| np.inner(a.T, b.T).T) | |
| # outer(a,b) | |
| for n in range(1, 17): | |
| a = np.arange(3, dtype=dtype) + 1 | |
| b = np.arange(n, dtype=dtype) + 1 | |
| assert_equal(np.einsum("i,j", a, b, optimize=do_opt), | |
| np.outer(a, b)) | |
| assert_equal(np.einsum(a, [0], b, [1], optimize=do_opt), | |
| np.outer(a, b)) | |
| # Suppress the complex warnings for the 'as f8' tests | |
| with suppress_warnings() as sup: | |
| sup.filter(np.exceptions.ComplexWarning) | |
| # matvec(a,b) / a.dot(b) where a is matrix, b is vector | |
| for n in range(1, 17): | |
| a = np.arange(4 * n, dtype=dtype).reshape(4, n) | |
| b = np.arange(n, dtype=dtype) | |
| assert_equal(np.einsum("ij, j", a, b, optimize=do_opt), | |
| np.dot(a, b)) | |
| assert_equal(np.einsum(a, [0, 1], b, [1], optimize=do_opt), | |
| np.dot(a, b)) | |
| c = np.arange(4, dtype=dtype) | |
| np.einsum("ij,j", a, b, out=c, | |
| dtype='f8', casting='unsafe', optimize=do_opt) | |
| assert_equal(c, | |
| np.dot(a.astype('f8'), | |
| b.astype('f8')).astype(dtype)) | |
| c[...] = 0 | |
| np.einsum(a, [0, 1], b, [1], out=c, | |
| dtype='f8', casting='unsafe', optimize=do_opt) | |
| assert_equal(c, | |
| np.dot(a.astype('f8'), | |
| b.astype('f8')).astype(dtype)) | |
| for n in range(1, 17): | |
| a = np.arange(4 * n, dtype=dtype).reshape(4, n) | |
| b = np.arange(n, dtype=dtype) | |
| assert_equal(np.einsum("ji,j", a.T, b.T, optimize=do_opt), | |
| np.dot(b.T, a.T)) | |
| assert_equal(np.einsum(a.T, [1, 0], b.T, [1], optimize=do_opt), | |
| np.dot(b.T, a.T)) | |
| c = np.arange(4, dtype=dtype) | |
| np.einsum("ji,j", a.T, b.T, out=c, | |
| dtype='f8', casting='unsafe', optimize=do_opt) | |
| assert_equal(c, | |
| np.dot(b.T.astype('f8'), | |
| a.T.astype('f8')).astype(dtype)) | |
| c[...] = 0 | |
| np.einsum(a.T, [1, 0], b.T, [1], out=c, | |
| dtype='f8', casting='unsafe', optimize=do_opt) | |
| assert_equal(c, | |
| np.dot(b.T.astype('f8'), | |
| a.T.astype('f8')).astype(dtype)) | |
| # matmat(a,b) / a.dot(b) where a is matrix, b is matrix | |
| for n in range(1, 17): | |
| if n < 8 or dtype != 'f2': | |
| a = np.arange(4 * n, dtype=dtype).reshape(4, n) | |
| b = np.arange(n * 6, dtype=dtype).reshape(n, 6) | |
| > assert_equal(np.einsum("ij,jk", a, b, optimize=do_opt), | |
| np.dot(a, b)) | |
| E AssertionError: | |
| E Arrays are not equal | |
| E | |
| E Mismatched elements: 24 / 24 (100%) | |
| E Max absolute difference among violations: 107. | |
| E Max relative difference among violations: inf | |
| E ACTUAL: array([[ 6., 7., 8., 9., 10., 11.], | |
| E [ 18., 23., 28., 33., 38., 43.], | |
| E [ 30., 39., 48., 57., 66., 75.], | |
| E [ 42., 55., 68., 81., 94., 107.]], dtype=float32) | |
| E DESIRED: array([[0., 0., 0., 0., 0., 0.], | |
| E [0., 0., 0., 0., 0., 0.], | |
| E [0., 0., 0., 0., 0., 0.], | |
| E [0., 0., 0., 0., 0., 0.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/_core/tests/test_einsum.py:509: AssertionError | |
| _____________________ TestMatmul.test_matrix_matrix_values _____________________ | |
| [gw6] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <test_multiarray.TestMatmul object at 0x17ebb0500> | |
| def test_matrix_matrix_values(self): | |
| mat1 = np.array([[1, 2], [3, 4]]) | |
| mat2 = np.array([[1, 0], [1, 1]]) | |
| mat12 = np.stack([mat1, mat2], axis=0) | |
| mat21 = np.stack([mat2, mat1], axis=0) | |
| tgt11 = np.array([[7, 10], [15, 22]]) | |
| tgt12 = np.array([[3, 2], [7, 4]]) | |
| tgt21 = np.array([[1, 2], [4, 6]]) | |
| tgt12_21 = np.stack([tgt12, tgt21], axis=0) | |
| tgt11_12 = np.stack((tgt11, tgt12), axis=0) | |
| tgt11_21 = np.stack((tgt11, tgt21), axis=0) | |
| for dt in self.types[1:]: | |
| m1 = mat1.astype(dt) | |
| m2 = mat2.astype(dt) | |
| m12 = mat12.astype(dt) | |
| m21 = mat21.astype(dt) | |
| # matrix @ matrix | |
| res = self.matmul(m1, m2) | |
| > assert_equal(res, tgt12) | |
| E AssertionError: | |
| E Arrays are not equal | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 509.03125 | |
| E Max relative difference among violations: 127.2578125 | |
| E ACTUAL: array([[2.152394e-41, 7.826805e-03], | |
| E [2.003662e+00, 5.130312e+02]], dtype=float32) | |
| E DESIRED: array([[3, 2], | |
| E [7, 4]]) | |
| lib/python3.13/site-packages/numpy/_core/tests/test_multiarray.py:7174: AssertionError | |
| _________________ TestMatmulOperator.test_matrix_matrix_values _________________ | |
| [gw6] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <test_multiarray.TestMatmulOperator object at 0x11fd56d50> | |
| def test_matrix_matrix_values(self): | |
| mat1 = np.array([[1, 2], [3, 4]]) | |
| mat2 = np.array([[1, 0], [1, 1]]) | |
| mat12 = np.stack([mat1, mat2], axis=0) | |
| mat21 = np.stack([mat2, mat1], axis=0) | |
| tgt11 = np.array([[7, 10], [15, 22]]) | |
| tgt12 = np.array([[3, 2], [7, 4]]) | |
| tgt21 = np.array([[1, 2], [4, 6]]) | |
| tgt12_21 = np.stack([tgt12, tgt21], axis=0) | |
| tgt11_12 = np.stack((tgt11, tgt12), axis=0) | |
| tgt11_21 = np.stack((tgt11, tgt21), axis=0) | |
| for dt in self.types[1:]: | |
| m1 = mat1.astype(dt) | |
| m2 = mat2.astype(dt) | |
| m12 = mat12.astype(dt) | |
| m21 = mat21.astype(dt) | |
| # matrix @ matrix | |
| res = self.matmul(m1, m2) | |
| > assert_equal(res, tgt12) | |
| E AssertionError: | |
| E Arrays are not equal | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 509.03125 | |
| E Max relative difference among violations: 127.2578125 | |
| E ACTUAL: array([[2.152394e-41, 7.826805e-03], | |
| E [2.003662e+00, 5.130312e+02]], dtype=float32) | |
| E DESIRED: array([[3, 2], | |
| E [7, 4]]) | |
| lib/python3.13/site-packages/numpy/_core/tests/test_multiarray.py:7174: AssertionError | |
| _______________________ test_ufunc_noncontiguous[matmul] _______________________ | |
| [gw0] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| ufunc = <ufunc 'matmul'> | |
| @pytest.mark.parametrize('ufunc', [getattr(np, x) for x in dir(np) | |
| if isinstance(getattr(np, x), np.ufunc)]) | |
| def test_ufunc_noncontiguous(ufunc): | |
| ''' | |
| Check that contiguous and non-contiguous calls to ufuncs | |
| have the same results for values in range(9) | |
| ''' | |
| for typ in ufunc.types: | |
| # types is a list of strings like ii->i | |
| if any(set('O?mM') & set(typ)): | |
| # bool, object, datetime are too irregular for this simple test | |
| continue | |
| inp, out = typ.split('->') | |
| args_c = [np.empty((6, 6), t) for t in inp] | |
| # non contiguous (2, 3 step on the two dimensions) | |
| args_n = [np.empty((12, 18), t)[::2, ::3] for t in inp] | |
| # alignment != itemsize is possible. So create an array with such | |
| # an odd step manually. | |
| args_o = [] | |
| for t in inp: | |
| orig_dt = np.dtype(t) | |
| off_dt = f"S{orig_dt.alignment}" # offset by alignment | |
| dtype = np.dtype([("_", off_dt), ("t", orig_dt)], align=False) | |
| args_o.append(np.empty((6, 6), dtype=dtype)["t"]) | |
| for a in args_c + args_n + args_o: | |
| a.flat = range(1, 37) | |
| with warnings.catch_warnings(record=True): | |
| warnings.filterwarnings("always") | |
| res_c = ufunc(*args_c) | |
| res_n = ufunc(*args_n) | |
| res_o = ufunc(*args_o) | |
| if len(out) == 1: | |
| res_c = (res_c,) | |
| res_n = (res_n,) | |
| res_o = (res_o,) | |
| for c_ar, n_ar, o_ar in zip(res_c, res_n, res_o): | |
| dt = c_ar.dtype | |
| if np.issubdtype(dt, np.floating): | |
| # for floating point results allow a small fuss in comparisons | |
| # since different algorithms (libm vs. intrinsics) can be used | |
| # for different input strides | |
| res_eps = np.finfo(dt).eps | |
| tol = 3 * res_eps | |
| > assert_allclose(res_c, res_n, atol=tol, rtol=tol) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=3.57628e-07, atol=3.57628e-07 | |
| E | |
| E Mismatched elements: 36 / 36 (100%) | |
| E Max absolute difference among violations: 1.7188729e+10 | |
| E Max relative difference among violations: 126.99327 | |
| E ACTUAL: array([[[ 1., 2., 3., 4., 5., 6.], | |
| E [ 7., 8., 9., 10., 11., 12.], | |
| E [13., 14., 15., 16., 17., 18.],... | |
| E DESIRED: array([[[7.812911e-03, 2.000110e+00, 3.200184e+01, 5.120308e+02, | |
| E 2.048128e+03, 8.192533e+03], | |
| E [3.277197e+04, 1.310888e+05, 2.621793e+05, 5.243622e+05,... | |
| lib/python3.13/site-packages/numpy/_core/tests/test_ufunc.py:2891: AssertionError | |
| ____________________________ TestSVD.test_sq_cases _____________________________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestSVD object at 0x307e9b950> | |
| require = {'square'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| > case.check(self.do) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:386: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:116: in check | |
| do(self.a, self.b, tags=self.tags) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestSVD object at 0x307e9b950> | |
| a = array([[1., 2.], | |
| [3., 4.]], dtype=float32) | |
| b = array([2., 1.], dtype=float32), tags = frozenset({'square'}) | |
| def do(self, a, b, tags): | |
| u, s, vt = linalg.svd(a, False) | |
| > assert_allclose(a, matmul(np.asarray(u) * np.asarray(s)[..., None, :], | |
| np.asarray(vt)), | |
| rtol=get_rtol(u.dtype)) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-05, atol=0 | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 4. | |
| E Max relative difference among violations: 0.06666667 | |
| E ACTUAL: array([[1., 2.], | |
| E [3., 4.]], dtype=float32) | |
| E DESIRED: array([[0. , 1.875], | |
| E [0. , 0. ]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:696: AssertionError | |
| The above exception was the direct cause of the following exception: | |
| self = <numpy.linalg.tests.test_linalg.TestSVD object at 0x307e9b950> | |
| def test_sq_cases(self): | |
| > self.check_cases(require={'square'}, | |
| exclude={'generalized', 'size-0'}) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:396: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestSVD object at 0x307e9b950> | |
| require = {'square'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| case.check(self.do) | |
| except Exception as e: | |
| msg = f'In test case: {case!r}\n\n' | |
| msg += traceback.format_exc() | |
| > raise AssertionError(msg) from e | |
| E AssertionError: In test case: <LinalgCase: single> | |
| E | |
| E Traceback (most recent call last): | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| E case.check(self.do) | |
| E ~~~~~~~~~~^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| E do(self.a, self.b, tags=self.tags) | |
| E ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 696, in do | |
| E assert_allclose(a, matmul(np.asarray(u) * np.asarray(s)[..., None, :], | |
| E ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E np.asarray(vt)), | |
| E ^^^^^^^^^^^^^^^^ | |
| E rtol=get_rtol(u.dtype)) | |
| E ^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1718, in assert_allclose | |
| E assert_array_compare(compare, actual, desired, err_msg=str(err_msg), | |
| E ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E verbose=verbose, header=header, equal_nan=equal_nan, | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E strict=strict) | |
| E ^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| E raise AssertionError(msg) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-05, atol=0 | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 4. | |
| E Max relative difference among violations: 0.06666667 | |
| E ACTUAL: array([[1., 2.], | |
| E [3., 4.]], dtype=float32) | |
| E DESIRED: array([[0. , 1.875], | |
| E [0. , 0. ]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:390: AssertionError | |
| ______________________ TestQR.test_mode_all_but_economic _______________________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x14a184830> | |
| def test_mode_all_but_economic(self): | |
| a = self.array([[1, 2], [3, 4]]) | |
| b = self.array([[1, 2], [3, 4], [5, 6]]) | |
| for dt in "fd": | |
| m1 = a.astype(dt) | |
| m2 = b.astype(dt) | |
| > self.check_qr(m1) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1778: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1711: in check_qr | |
| assert_almost_equal(dot(Q, R), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[0., 0.], | |
| [0., 0.]], dtype=float32) | |
| b = array([[1., 2.], | |
| [3., 4.]], dtype=float32), single_decimal = 6 | |
| double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 4. | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[0., 0.], | |
| E [0., 0.]], dtype=float32) | |
| E DESIRED: array([[1., 2.], | |
| E [3., 4.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size0-size0] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x13b7cbce0> | |
| outer_size = (2, 2), size = (3, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[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.]]]], dtype=float32) | |
| b = array([[[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.541...004 , 1.4299386 , -0.15647532], | |
| [-0.67375916, -0.6390601 , -0.06136133, -0.39278492]]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 48 / 48 (100%) | |
| E Max absolute difference among violations: 2.2074711 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[[0., 0., 0., 0.], | |
| E [0., 0., 0., 0.], | |
| E [0., 0., 0., 0.]],... | |
| E DESIRED: array([[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ____________________________ TestInv.test_sq_cases _____________________________ | |
| [gw3] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestInv object at 0x16f5f1480> | |
| require = {'square'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| > case.check(self.do) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:386: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:116: in check | |
| do(self.a, self.b, tags=self.tags) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:567: in do | |
| assert_almost_equal(matmul(a, a_inv), | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[0. , 0. ], | |
| [0. , 1.875]], dtype=float32) | |
| b = array([[1., 0.], | |
| [0., 1.]]), single_decimal = 6, double_decimal = 12 | |
| kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 2 / 4 (50%) | |
| E Max absolute difference among violations: 1. | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[0. , 0. ], | |
| E [0. , 1.875]], dtype=float32) | |
| E DESIRED: array([[1., 0.], | |
| E [0., 1.]]) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| The above exception was the direct cause of the following exception: | |
| self = <numpy.linalg.tests.test_linalg.TestInv object at 0x16f5f1480> | |
| def test_sq_cases(self): | |
| > self.check_cases(require={'square'}, | |
| exclude={'generalized', 'size-0'}) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:396: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestInv object at 0x16f5f1480> | |
| require = {'square'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| case.check(self.do) | |
| except Exception as e: | |
| msg = f'In test case: {case!r}\n\n' | |
| msg += traceback.format_exc() | |
| > raise AssertionError(msg) from e | |
| E AssertionError: In test case: <LinalgCase: single> | |
| E | |
| E Traceback (most recent call last): | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| E case.check(self.do) | |
| E ~~~~~~~~~~^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| E do(self.a, self.b, tags=self.tags) | |
| E ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 567, in do | |
| E assert_almost_equal(matmul(a, a_inv), | |
| E ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ | |
| E identity_like_generalized(a)) | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 72, in assert_almost_equal | |
| E old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 620, in assert_almost_equal | |
| E return assert_array_almost_equal(actual, desired, decimal, err_msg) | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1175, in assert_array_almost_equal | |
| E assert_array_compare(compare, actual, desired, err_msg=err_msg, | |
| E ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E verbose=verbose, | |
| E ^^^^^^^^^^^^^^^^ | |
| E header=('Arrays are not almost equal to %d decimals' % decimal), | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E precision=decimal) | |
| E ^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| E raise AssertionError(msg) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 2 / 4 (50%) | |
| E Max absolute difference among violations: 1. | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[0. , 0. ], | |
| E [0. , 1.875]], dtype=float32) | |
| E DESIRED: array([[1., 0.], | |
| E [0., 1.]]) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:390: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size0-size1] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x13b7cbdf0> | |
| outer_size = (2, 2), size = (4, 3), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[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) | |
| b = array([[[[-0.9891214 , -0.36778665, 1.2879252 ], | |
| [ 0.19397442, 0.9202309 , 0.5771038 ], | |
| [-0.63646..., | |
| [ 1.4299386 , -0.15647532, -0.67375916], | |
| [-0.6390601 , -0.06136133, -0.39278492]]]], dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 48 / 48 (100%) | |
| E Max absolute difference among violations: 2.2074711 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[[0., 0., 0.], | |
| E [0., 0., 0.], | |
| E [0., 0., 0.],... | |
| E DESIRED: array([[[[-0.989121, -0.367787, 1.287925], | |
| E [ 0.193974, 0.920231, 0.577104], | |
| E [-0.636464, 0.541952, -0.316595],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| __________________________ TestPinv.test_nonsq_cases ___________________________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestPinv object at 0x340df8180> | |
| require = {'nonsquare'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| > case.check(self.do) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:386: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:116: in check | |
| do(self.a, self.b, tags=self.tags) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:871: in do | |
| assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[-0.3628039 , -0.51690596, -0.775359 ], | |
| [ 0.9318655 , -0.2012474 , -0.3018711 ]], dtype=float32) | |
| b = array([[1., 2., 3.], | |
| [3., 4., 6.]], dtype=float32) | |
| single_decimal = 5, double_decimal = 11, kw = {}, decimal = 5 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 5 decimals | |
| E | |
| E Mismatched elements: 6 / 6 (100%) | |
| E Max absolute difference among violations: 6.3018713 | |
| E Max relative difference among violations: 1.3628039 | |
| E ACTUAL: array([[-0.3628 , -0.51691, -0.77536], | |
| E [ 0.93187, -0.20125, -0.30187]], dtype=float32) | |
| E DESIRED: array([[1., 2., 3.], | |
| E [3., 4., 6.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| The above exception was the direct cause of the following exception: | |
| self = <numpy.linalg.tests.test_linalg.TestPinv object at 0x340df8180> | |
| def test_nonsq_cases(self): | |
| > self.check_cases(require={'nonsquare'}, | |
| exclude={'generalized', 'size-0'}) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:407: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestPinv object at 0x340df8180> | |
| require = {'nonsquare'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| case.check(self.do) | |
| except Exception as e: | |
| msg = f'In test case: {case!r}\n\n' | |
| msg += traceback.format_exc() | |
| > raise AssertionError(msg) from e | |
| E AssertionError: In test case: <LinalgCase: single_nsq_1> | |
| E | |
| E Traceback (most recent call last): | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| E case.check(self.do) | |
| E ~~~~~~~~~~^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| E do(self.a, self.b, tags=self.tags) | |
| E ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 871, in do | |
| E assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| E ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 72, in assert_almost_equal | |
| E old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 620, in assert_almost_equal | |
| E return assert_array_almost_equal(actual, desired, decimal, err_msg) | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1175, in assert_array_almost_equal | |
| E assert_array_compare(compare, actual, desired, err_msg=err_msg, | |
| E ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E verbose=verbose, | |
| E ^^^^^^^^^^^^^^^^ | |
| E header=('Arrays are not almost equal to %d decimals' % decimal), | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E precision=decimal) | |
| E ^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| E raise AssertionError(msg) | |
| E AssertionError: | |
| E Arrays are not almost equal to 5 decimals | |
| E | |
| E Mismatched elements: 6 / 6 (100%) | |
| E Max absolute difference among violations: 6.3018713 | |
| E Max relative difference among violations: 1.3628039 | |
| E ACTUAL: array([[-0.3628 , -0.51691, -0.77536], | |
| E [ 0.93187, -0.20125, -0.30187]], dtype=float32) | |
| E DESIRED: array([[1., 2., 3.], | |
| E [3., 4., 6.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:390: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size0-size2] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x13b831a50> | |
| outer_size = (2, 2), size = (4, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[0.0e+00, 0.0e+00, 1.4e-45, 0.0e+00], | |
| [2.8e-45, 0.0e+00, 4.2e-45, 0.0e+00], | |
| [5.6e-45, 0.0e+...0e+00], | |
| [3.9e-44, 0.0e+00, 4.1e-44, 0.0e+00], | |
| [4.2e-44, 0.0e+00, 4.3e-44, 0.0e+00]]]], dtype=float32) | |
| b = array([[[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.541...746 , 0.21630684, 0.9843764 ], | |
| [-0.54308414, -0.558615 , -0.31648284, -0.46063974]]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 64 / 64 (100%) | |
| E Max absolute difference among violations: 2.2899098 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[[0.0e+00, 0.0e+00, 1.4e-45, 0.0e+00], | |
| E [2.8e-45, 0.0e+00, 4.2e-45, 0.0e+00], | |
| E [5.6e-45, 0.0e+00, 7.0e-45, 0.0e+00],... | |
| E DESIRED: array([[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size1-size0] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x13b6ca210> | |
| outer_size = (2,), size = (3, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[0. , 1.875 , 0. , 2. ], | |
| [0. , 2.125 , 0. , 2.25 ], | |
| [0. , 2.3125 ,... 2.5 ], | |
| [0. , 2.53125, 0. , 2.5625 ], | |
| [0. , 2.59375, 0. , 2.625 ]]], dtype=float32) | |
| b = array([[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.54195...99694 , -0.31179485, 0.33776912], | |
| [-2.2074711 , 0.82792145, 1.5416304 , 1.1268067 ]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 24 / 24 (100%) | |
| E Max absolute difference among violations: 3.9009304 | |
| E Max relative difference among violations: 17.33905 | |
| E ACTUAL: array([[[0. , 1.875 , 0. , 2. ], | |
| E [0. , 2.125 , 0. , 2.25 ], | |
| E [0. , 2.3125 , 0. , 2.375 ]],... | |
| E DESIRED: array([[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ____________________________ TestEig.test_sq_cases _____________________________ | |
| [gw3] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestEig object at 0x16f5f18c0> | |
| require = {'square'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| > case.check(self.do) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:386: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:116: in check | |
| do(self.a, self.b, tags=self.tags) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestEig object at 0x16f5f18c0> | |
| a = array([[1., 2.], | |
| [3., 4.]], dtype=float32) | |
| b = array([2., 1.], dtype=float32), tags = frozenset({'square'}) | |
| def do(self, a, b, tags): | |
| res = linalg.eig(a) | |
| eigenvalues, eigenvectors = res.eigenvalues, res.eigenvectors | |
| > assert_allclose(matmul(a, eigenvectors), | |
| np.asarray(eigenvectors) * np.asarray(eigenvalues)[..., None, :], | |
| rtol=get_rtol(eigenvalues.dtype)) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-05, atol=0 | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 4.178321 | |
| E Max relative difference among violations: 5.7477827 | |
| E ACTUAL: array([[ 1. , 0.707107], | |
| E [ 1. , -0.707107]], dtype=float32) | |
| E DESIRED: array([[ 0.30697 , -2.234727], | |
| E [-0.210625, -4.885427]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:635: AssertionError | |
| The above exception was the direct cause of the following exception: | |
| self = <numpy.linalg.tests.test_linalg.TestEig object at 0x16f5f18c0> | |
| def test_sq_cases(self): | |
| > self.check_cases(require={'square'}, | |
| exclude={'generalized', 'size-0'}) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:396: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestEig object at 0x16f5f18c0> | |
| require = {'square'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| case.check(self.do) | |
| except Exception as e: | |
| msg = f'In test case: {case!r}\n\n' | |
| msg += traceback.format_exc() | |
| > raise AssertionError(msg) from e | |
| E AssertionError: In test case: <LinalgCase: single> | |
| E | |
| E Traceback (most recent call last): | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| E case.check(self.do) | |
| E ~~~~~~~~~~^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| E do(self.a, self.b, tags=self.tags) | |
| E ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 635, in do | |
| E assert_allclose(matmul(a, eigenvectors), | |
| E ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E np.asarray(eigenvectors) * np.asarray(eigenvalues)[..., None, :], | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E rtol=get_rtol(eigenvalues.dtype)) | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1718, in assert_allclose | |
| E assert_array_compare(compare, actual, desired, err_msg=str(err_msg), | |
| E ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E verbose=verbose, header=header, equal_nan=equal_nan, | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E strict=strict) | |
| E ^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| E raise AssertionError(msg) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-05, atol=0 | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 4.178321 | |
| E Max relative difference among violations: 5.7477827 | |
| E ACTUAL: array([[ 1. , 0.707107], | |
| E [ 1. , -0.707107]], dtype=float32) | |
| E DESIRED: array([[ 0.30697 , -2.234727], | |
| E [-0.210625, -4.885427]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:390: AssertionError | |
| ____________________________ TestPinv.test_sq_cases ____________________________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestPinv object at 0x307edfc50> | |
| require = {'square'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| > case.check(self.do) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:386: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:116: in check | |
| do(self.a, self.b, tags=self.tags) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:871: in do | |
| assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[-0.4045536, -0.9145143], | |
| [-0.9145143, 0.4045536]], dtype=float32) | |
| b = array([[1., 2.], | |
| [3., 4.]], dtype=float32), single_decimal = 5 | |
| double_decimal = 11, kw = {}, decimal = 5 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 5 decimals | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 3.9145143 | |
| E Max relative difference among violations: 1.4572572 | |
| E ACTUAL: array([[-0.40455, -0.91451], | |
| E [-0.91451, 0.40455]], dtype=float32) | |
| E DESIRED: array([[1., 2.], | |
| E [3., 4.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| The above exception was the direct cause of the following exception: | |
| self = <numpy.linalg.tests.test_linalg.TestPinv object at 0x307edfc50> | |
| def test_sq_cases(self): | |
| > self.check_cases(require={'square'}, | |
| exclude={'generalized', 'size-0'}) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:396: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestPinv object at 0x307edfc50> | |
| require = {'square'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| case.check(self.do) | |
| except Exception as e: | |
| msg = f'In test case: {case!r}\n\n' | |
| msg += traceback.format_exc() | |
| > raise AssertionError(msg) from e | |
| E AssertionError: In test case: <LinalgCase: single> | |
| E | |
| E Traceback (most recent call last): | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| E case.check(self.do) | |
| E ~~~~~~~~~~^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| E do(self.a, self.b, tags=self.tags) | |
| E ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 871, in do | |
| E assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| E ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 72, in assert_almost_equal | |
| E old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 620, in assert_almost_equal | |
| E return assert_array_almost_equal(actual, desired, decimal, err_msg) | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1175, in assert_array_almost_equal | |
| E assert_array_compare(compare, actual, desired, err_msg=err_msg, | |
| E ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E verbose=verbose, | |
| E ^^^^^^^^^^^^^^^^ | |
| E header=('Arrays are not almost equal to %d decimals' % decimal), | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E precision=decimal) | |
| E ^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| E raise AssertionError(msg) | |
| E AssertionError: | |
| E Arrays are not almost equal to 5 decimals | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 3.9145143 | |
| E Max relative difference among violations: 1.4572572 | |
| E ACTUAL: array([[-0.40455, -0.91451], | |
| E [-0.91451, 0.40455]], dtype=float32) | |
| E DESIRED: array([[1., 2.], | |
| E [3., 4.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:390: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size1-size1] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x14a180830> | |
| outer_size = (2,), size = (4, 3), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[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) | |
| b = array([[[-0.9891214 , -0.36778665, 1.2879252 ], | |
| [ 0.19397442, 0.9202309 , 0.5771038 ], | |
| [-0.63646364...4 ], | |
| [-0.31179485, 0.33776912, -2.2074711 ], | |
| [ 0.82792145, 1.5416304 , 1.1268067 ]]], dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 24 / 24 (100%) | |
| E Max absolute difference among violations: 2.2074711 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[0., 0., 0.], | |
| E [0., 0., 0.], | |
| E [0., 0., 0.],... | |
| E DESIRED: array([[[-0.989121, -0.367787, 1.287925], | |
| E [ 0.193974, 0.920231, 0.577104], | |
| E [-0.636464, 0.541952, -0.316595],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size1-size2] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x14a1804b0> | |
| outer_size = (2,), size = (4, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ], | |
| [0. , 0. ,... 0. ], | |
| [0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ]]], dtype=float32) | |
| b = array([[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.54195...59779 , 1.2819022 , 1.0740306 ], | |
| [ 0.39262083, 0.00511431, -0.36176687, -1.2302322 ]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 32 / 32 (100%) | |
| E Max absolute difference among violations: 3.6509304 | |
| E Max relative difference among violations: 4.7718506 | |
| E ACTUAL: array([[[0. , 0. , 0. , 0. ], | |
| E [0. , 0. , 0. , 0. ], | |
| E [0. , 0. , 0. , 2.125 ],... | |
| E DESIRED: array([[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ______________________ TestPinvHermitian.test_herm_cases _______________________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestPinvHermitian object at 0x307edfd90> | |
| require = {'hermitian'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| > case.check(self.do) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:386: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:116: in check | |
| do(self.a, self.b, tags=self.tags) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:885: in do | |
| assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[ 0.70710677, -0.70710677], | |
| [ 0.70710677, 0.70710677]], dtype=float32) | |
| b = array([[1., 2.], | |
| [2., 1.]], dtype=float32), single_decimal = 5 | |
| double_decimal = 11, kw = {}, decimal = 5 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 5 decimals | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 2.7071068 | |
| E Max relative difference among violations: 1.3535534 | |
| E ACTUAL: array([[ 0.70711, -0.70711], | |
| E [ 0.70711, 0.70711]], dtype=float32) | |
| E DESIRED: array([[1., 2.], | |
| E [2., 1.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| The above exception was the direct cause of the following exception: | |
| self = <numpy.linalg.tests.test_linalg.TestPinvHermitian object at 0x307edfd90> | |
| def test_herm_cases(self): | |
| > self.check_cases(require={'hermitian'}, | |
| exclude={'generalized', 'size-0'}) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:418: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestPinvHermitian object at 0x307edfd90> | |
| require = {'hermitian'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| case.check(self.do) | |
| except Exception as e: | |
| msg = f'In test case: {case!r}\n\n' | |
| msg += traceback.format_exc() | |
| > raise AssertionError(msg) from e | |
| E AssertionError: In test case: <LinalgCase: hsingle> | |
| E | |
| E Traceback (most recent call last): | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| E case.check(self.do) | |
| E ~~~~~~~~~~^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| E do(self.a, self.b, tags=self.tags) | |
| E ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 885, in do | |
| E assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| E ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 72, in assert_almost_equal | |
| E old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 620, in assert_almost_equal | |
| E return assert_array_almost_equal(actual, desired, decimal, err_msg) | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1175, in assert_array_almost_equal | |
| E assert_array_compare(compare, actual, desired, err_msg=err_msg, | |
| E ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E verbose=verbose, | |
| E ^^^^^^^^^^^^^^^^ | |
| E header=('Arrays are not almost equal to %d decimals' % decimal), | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E precision=decimal) | |
| E ^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| E raise AssertionError(msg) | |
| E AssertionError: | |
| E Arrays are not almost equal to 5 decimals | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 2.7071068 | |
| E Max relative difference among violations: 1.3535534 | |
| E ACTUAL: array([[ 0.70711, -0.70711], | |
| E [ 0.70711, 0.70711]], dtype=float32) | |
| E DESIRED: array([[1., 2.], | |
| E [2., 1.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:390: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size2-size0] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x13b72da90> | |
| outer_size = (2, 3, 4), size = (3, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[[ 0.0000000e+00, 0.0000000e+00, -2.2877809e-20, | |
| 1.4012985e-45], | |
| [ 1.3515625e+00, 1.4...0000000e+00], | |
| [ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, | |
| 0.0000000e+00]]]]], dtype=float32) | |
| b = array([[[[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.5...95, -0.38024592, -1.7452345 ], | |
| [-0.07476547, -0.6747657 , -1.7015473 , 0.31218666]]]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 288 / 288 (100%) | |
| E Max absolute difference among violations: 2.8513694 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[[[ 0.000000e+00, 0.000000e+00, -2.287781e-20, 1.401298e-45], | |
| E [ 1.351562e+00, 1.401298e-45, 3.391142e-43, 0.000000e+00], | |
| E [ 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00]],... | |
| E DESIRED: array([[[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size2-size1] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x13b58fe30> | |
| outer_size = (2, 3, 4), size = (4, 3), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[[ 0.00000000e+00, 0.00000000e+00, 1.88879158e+17], | |
| [ 1.60605943e+00, 4.61091703e-31, 1.4012984...54453409e+00, 1.33749172e-08], | |
| [ 1.82165051e+00, -1.08123036e-15, 1.73825657e+00]]]]], | |
| dtype=float32) | |
| b = array([[[[[-0.9891214 , -0.36778665, 1.2879252 ], | |
| [ 0.19397442, 0.9202309 , 0.5771038 ], | |
| [-0.63... [-0.38024592, -1.7452345 , -0.07476547], | |
| [-0.6747657 , -1.7015473 , 0.31218666]]]]], dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 288 / 288 (100%) | |
| E Max absolute difference among violations: 1.118184e+38 | |
| E Max relative difference among violations: 1.0678549e+38 | |
| E ACTUAL: array([[[[[ 0.000000e+00, 0.000000e+00, 1.888792e+17], | |
| E [ 1.606059e+00, 4.610917e-31, 1.401298e-45], | |
| E [ 3.902021e-09, 1.655283e+00, -6.009219e-09],... | |
| E DESIRED: array([[[[[-0.989121, -0.367787, 1.287925], | |
| E [ 0.193974, 0.920231, 0.577104], | |
| E [-0.636464, 0.541952, -0.316595],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ____________ TestQR.test_stacked_inputs[float32-outer_size2-size2] _____________ | |
| [gw13] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestQR object at 0x13b58fee0> | |
| outer_size = (2, 3, 4), size = (4, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[[0.00000000e+00, 0.00000000e+00, 6.28671799e-36, | |
| 1.40129846e-45], | |
| [1.35339355e+00, 1.40...0000000e+00], | |
| [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, | |
| 0.00000000e+00]]]]], dtype=float32) | |
| b = array([[[[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.5...4 , -1.4681596 , -1.1755062 ], | |
| [ 0.98388773, 0.98529506, -1.439946 , -0.1667317 ]]]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E nan location mismatch: | |
| E ACTUAL: array([[[[[0.000000e+00, 0.000000e+00, 6.286718e-36, 1.401298e-45], | |
| E [1.353394e+00, 1.401298e-45, nan, nan], | |
| E [4.022423e-38, 0.000000e+00, 1.246899e-11, 6.674993e-07],... | |
| E DESIRED: array([[[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ____________________ TestMatrixPower.test_large_power[dt10] ____________________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestMatrixPower object at 0x307e05a90> | |
| dt = dtype('float32') | |
| def test_large_power(self, dt): | |
| rshft = self.rshft_1.astype(dt) | |
| > assert_equal( | |
| matrix_power(rshft, 2**100 + 2**10 + 2**5 + 0), self.rshft_0) | |
| E AssertionError: | |
| E Arrays are not equal | |
| E | |
| E Mismatched elements: 8 / 16 (50%) | |
| E Max absolute difference among violations: 1. | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[0.e+00, 1.e-45, 0.e+00, 0.e+00], | |
| E [0.e+00, 0.e+00, 1.e-45, 0.e+00], | |
| E [0.e+00, 0.e+00, 0.e+00, 1.e-45], | |
| E [1.e-45, 0.e+00, 0.e+00, 0.e+00]], dtype=float32) | |
| E DESIRED: array([[1., 0., 0., 0.], | |
| E [0., 1., 0., 0.], | |
| E [0., 0., 1., 0.], | |
| E [0., 0., 0., 1.]]) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1064: AssertionError | |
| ___________________ TestMatrixPower.test_power_is_two[dt10] ____________________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestMatrixPower object at 0x340e28c30> | |
| dt = dtype('float32') | |
| def test_power_is_two(self, dt): | |
| def tz(mat): | |
| mz = matrix_power(mat, 2) | |
| mmul = matmul if mat.dtype != object else dot | |
| assert_equal(mz, mmul(mat, mat)) | |
| assert_equal(mz.dtype, mat.dtype) | |
| for mat in self.rshft_all: | |
| tz(mat.astype(dt)) | |
| if dt != object: | |
| > tz(self.stacked.astype(dt)) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1105: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| mat = array([[[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]], | |
| [[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]], dtype=float32) | |
| def tz(mat): | |
| mz = matrix_power(mat, 2) | |
| mmul = matmul if mat.dtype != object else dot | |
| > assert_equal(mz, mmul(mat, mat)) | |
| E AssertionError: | |
| E Arrays are not equal | |
| E | |
| E Mismatched elements: 8 / 32 (25%) | |
| E Max absolute difference among violations: 1.e-45 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[0.e+00, 0.e+00, 1.e-45, 0.e+00], | |
| E [0.e+00, 0.e+00, 0.e+00, 0.e+00], | |
| E [0.e+00, 0.e+00, 0.e+00, 0.e+00],... | |
| E DESIRED: array([[[0.e+00, 0.e+00, 0.e+00, 0.e+00], | |
| E [1.e-45, 0.e+00, 0.e+00, 0.e+00], | |
| E [0.e+00, 0.e+00, 0.e+00, 0.e+00],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1099: AssertionError | |
| ________________ TestMatrixPower.test_power_is_minus_one[dt10] _________________ | |
| [gw10] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestMatrixPower object at 0x176230e10> | |
| dt = dtype('float32') | |
| def test_power_is_minus_one(self, dt): | |
| def tz(mat): | |
| invmat = matrix_power(mat, -1) | |
| mmul = matmul if mat.dtype != object else dot | |
| assert_almost_equal( | |
| mmul(invmat, mat), identity_like_generalized(mat)) | |
| for mat in self.rshft_all: | |
| if dt not in self.dtnoinv: | |
| > tz(mat.astype(dt)) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1116: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1111: in tz | |
| assert_almost_equal( | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[0. , 0. , 0. , 1.875 ], | |
| [0. , 2. , 0. , 2.125 ], | |
| [0. , 2.25 , 0. , 2.3125], | |
| [0. , 2.375 , 0. , 2.4375]], dtype=float32) | |
| b = array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 9 / 16 (56.2%) | |
| E Max absolute difference among violations: 2.375 | |
| E Max relative difference among violations: 1.4375 | |
| E ACTUAL: array([[0. , 0. , 0. , 1.875 ], | |
| E [0. , 2. , 0. , 2.125 ], | |
| E [0. , 2.25 , 0. , 2.3125], | |
| E [0. , 2.375 , 0. , 2.4375]], dtype=float32) | |
| E DESIRED: array([[1., 0., 0., 0.], | |
| E [0., 1., 0., 0.], | |
| E [0., 0., 1., 0.], | |
| E [0., 0., 0., 1.]]) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ________________________ TestEighCases.test_herm_cases _________________________ | |
| [gw10] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.linalg.tests.test_linalg.TestEighCases object at 0x1761f9450> | |
| require = {'hermitian'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| > case.check(self.do) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:386: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:116: in check | |
| do(self.a, self.b, tags=self.tags) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestEighCases object at 0x1761f9450> | |
| a = array([[1., 2.], | |
| [2., 1.]], dtype=float32), b = None | |
| tags = frozenset({'hermitian'}) | |
| def do(self, a, b, tags): | |
| # note that eigenvalue arrays returned by eig must be sorted since | |
| # their order isn't guaranteed. | |
| res = linalg.eigh(a) | |
| ev, evc = res.eigenvalues, res.eigenvectors | |
| evalues, evectors = linalg.eig(a) | |
| evalues.sort(axis=-1) | |
| assert_almost_equal(ev, evalues) | |
| > assert_allclose(matmul(a, evc), | |
| np.asarray(ev)[..., None, :] * np.asarray(evc), | |
| rtol=get_rtol(ev.dtype)) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-05, atol=0 | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 3.9963202 | |
| E Max relative difference among violations: 1.8838835 | |
| E ACTUAL: array([[ 0. , -1.875], | |
| E [ 0. , 1.875]], dtype=float32) | |
| E DESIRED: array([[ 0.707107, 2.12132 ], | |
| E [-0.707107, 2.12132 ]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1215: AssertionError | |
| The above exception was the direct cause of the following exception: | |
| self = <numpy.linalg.tests.test_linalg.TestEighCases object at 0x1761f9450> | |
| def test_herm_cases(self): | |
| > self.check_cases(require={'hermitian'}, | |
| exclude={'generalized', 'size-0'}) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:418: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.linalg.tests.test_linalg.TestEighCases object at 0x1761f9450> | |
| require = {'hermitian'}, exclude = {'generalized', 'size-0'} | |
| def check_cases(self, require=set(), exclude=set()): | |
| """ | |
| Run func on each of the cases with all of the tags in require, and none | |
| of the tags in exclude | |
| """ | |
| for case in self.TEST_CASES: | |
| # filter by require and exclude | |
| if case.tags & require != require: | |
| continue | |
| if case.tags & exclude: | |
| continue | |
| try: | |
| case.check(self.do) | |
| except Exception as e: | |
| msg = f'In test case: {case!r}\n\n' | |
| msg += traceback.format_exc() | |
| > raise AssertionError(msg) from e | |
| E AssertionError: In test case: <LinalgCase: hsingle> | |
| E | |
| E Traceback (most recent call last): | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| E case.check(self.do) | |
| E ~~~~~~~~~~^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| E do(self.a, self.b, tags=self.tags) | |
| E ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 1215, in do | |
| E assert_allclose(matmul(a, evc), | |
| E ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^ | |
| E np.asarray(ev)[..., None, :] * np.asarray(evc), | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E rtol=get_rtol(ev.dtype)) | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1718, in assert_allclose | |
| E assert_array_compare(compare, actual, desired, err_msg=str(err_msg), | |
| E ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E verbose=verbose, header=header, equal_nan=equal_nan, | |
| E ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E strict=strict) | |
| E ^^^^^^^^^^^^^^ | |
| E File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| E raise AssertionError(msg) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-05, atol=0 | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 3.9963202 | |
| E Max relative difference among violations: 1.8838835 | |
| E ACTUAL: array([[ 0. , -1.875], | |
| E [ 0. , 1.875]], dtype=float32) | |
| E DESIRED: array([[ 0.707107, 2.12132 ], | |
| E [-0.707107, 2.12132 ]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:390: AssertionError | |
| ________________________ TestMethods.test_arr_mult[dot] ________________________ | |
| [gw5] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <test_multiarray.TestMethods object at 0x16e266940> | |
| func = <function dot at 0x102e6cbf0> | |
| @pytest.mark.parametrize('func', (np.dot, np.matmul)) | |
| def test_arr_mult(self, func): | |
| a = np.array([[1, 0], [0, 1]]) | |
| b = np.array([[0, 1], [1, 0]]) | |
| c = np.array([[9, 1], [1, -9]]) | |
| d = np.arange(24).reshape(4, 6) | |
| ddt = np.array( | |
| [[ 55, 145, 235, 325], | |
| [ 145, 451, 757, 1063], | |
| [ 235, 757, 1279, 1801], | |
| [ 325, 1063, 1801, 2539]] | |
| ) | |
| dtd = np.array( | |
| [[504, 540, 576, 612, 648, 684], | |
| [540, 580, 620, 660, 700, 740], | |
| [576, 620, 664, 708, 752, 796], | |
| [612, 660, 708, 756, 804, 852], | |
| [648, 700, 752, 804, 856, 908], | |
| [684, 740, 796, 852, 908, 964]] | |
| ) | |
| # gemm vs syrk optimizations | |
| for et in [np.float32, np.float64, np.complex64, np.complex128]: | |
| eaf = a.astype(et) | |
| > assert_equal(func(eaf, eaf), eaf) | |
| E AssertionError: | |
| E Arrays are not equal | |
| E | |
| E Mismatched elements: 2 / 4 (50%) | |
| E Max absolute difference among violations: 1. | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[0., 0.], | |
| E [0., 0.]], dtype=float32) | |
| E DESIRED: array([[1., 0.], | |
| E [0., 1.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/_core/tests/test_multiarray.py:3263: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size1-size0] __________ | |
| [gw6] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x342b275c0> | |
| outer_size = (2,), size = (3, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ], | |
| [0. , 0. ,... 2.1875 ], | |
| [0. , 2.25 , 0. , 2.53125], | |
| [0. , 2.5625 , 0. , 2.59375]]], dtype=float32) | |
| b = array([[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.54195...99694 , -0.31179485, 0.33776912], | |
| [-2.2074711 , 0.82792145, 1.5416304 , 1.1268067 ]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 24 / 24 (100%) | |
| E Max absolute difference among violations: 2.9099693 | |
| E Max relative difference among violations: 15.046669 | |
| E ACTUAL: array([[[0. , 0. , 0. , 0. ], | |
| E [0. , 0. , 0. , 0. ], | |
| E [0. , 0. , 0. , 0. ]],... | |
| E DESIRED: array([[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ___________________ TestQRMatrix.test_mode_all_but_economic ____________________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x341e2a210> | |
| def test_mode_all_but_economic(self): | |
| a = self.array([[1, 2], [3, 4]]) | |
| b = self.array([[1, 2], [3, 4], [5, 6]]) | |
| for dt in "fd": | |
| m1 = a.astype(dt) | |
| m2 = b.astype(dt) | |
| > self.check_qr(m1) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1778: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1711: in check_qr | |
| assert_almost_equal(dot(Q, R), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = matrix([[0., 0.], | |
| [0., 0.]], dtype=float32) | |
| b = matrix([[1., 2.], | |
| [3., 4.]], dtype=float32), single_decimal = 6 | |
| double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 4 / 4 (100%) | |
| E Max absolute difference among violations: 4. | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: matrix([[0., 0.], | |
| E [0., 0.]], dtype=float32) | |
| E DESIRED: matrix([[1., 2.], | |
| E [3., 4.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size1-size1] __________ | |
| [gw6] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x3424b4d70> | |
| outer_size = (2,), size = (4, 3), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[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) | |
| b = array([[[-0.9891214 , -0.36778665, 1.2879252 ], | |
| [ 0.19397442, 0.9202309 , 0.5771038 ], | |
| [-0.63646364...4 ], | |
| [-0.31179485, 0.33776912, -2.2074711 ], | |
| [ 0.82792145, 1.5416304 , 1.1268067 ]]], dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 24 / 24 (100%) | |
| E Max absolute difference among violations: 2.2074711 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[0., 0., 0.], | |
| E [0., 0., 0.], | |
| E [0., 0., 0.],... | |
| E DESIRED: array([[[-0.989121, -0.367787, 1.287925], | |
| E [ 0.193974, 0.920231, 0.577104], | |
| E [-0.636464, 0.541952, -0.316595],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| ______________________ TestMethods.test_arr_mult[matmul] _______________________ | |
| [gw5] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <test_multiarray.TestMethods object at 0x16e2668f0> | |
| func = <ufunc 'matmul'> | |
| @pytest.mark.parametrize('func', (np.dot, np.matmul)) | |
| def test_arr_mult(self, func): | |
| a = np.array([[1, 0], [0, 1]]) | |
| b = np.array([[0, 1], [1, 0]]) | |
| c = np.array([[9, 1], [1, -9]]) | |
| d = np.arange(24).reshape(4, 6) | |
| ddt = np.array( | |
| [[ 55, 145, 235, 325], | |
| [ 145, 451, 757, 1063], | |
| [ 235, 757, 1279, 1801], | |
| [ 325, 1063, 1801, 2539]] | |
| ) | |
| dtd = np.array( | |
| [[504, 540, 576, 612, 648, 684], | |
| [540, 580, 620, 660, 700, 740], | |
| [576, 620, 664, 708, 752, 796], | |
| [612, 660, 708, 756, 804, 852], | |
| [648, 700, 752, 804, 856, 908], | |
| [684, 740, 796, 852, 908, 964]] | |
| ) | |
| # gemm vs syrk optimizations | |
| for et in [np.float32, np.float64, np.complex64, np.complex128]: | |
| eaf = a.astype(et) | |
| > assert_equal(func(eaf, eaf), eaf) | |
| E AssertionError: | |
| E Arrays are not equal | |
| E | |
| E Mismatched elements: 2 / 4 (50%) | |
| E Max absolute difference among violations: 1. | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[0., 0.], | |
| E [0., 0.]], dtype=float32) | |
| E DESIRED: array([[1., 0.], | |
| E [0., 1.]], dtype=float32) | |
| lib/python3.13/site-packages/numpy/_core/tests/test_multiarray.py:3263: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size0-size0] __________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x343593680> | |
| outer_size = (2, 2), size = (3, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[0. , 1.875 , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. .... , 0. ], | |
| [0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ]]]], dtype=float32) | |
| b = array([[[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.541...004 , 1.4299386 , -0.15647532], | |
| [-0.67375916, -0.6390601 , -0.06136133, -0.39278492]]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 48 / 48 (100%) | |
| E Max absolute difference among violations: 2.9835896 | |
| E Max relative difference among violations: 6.0980644 | |
| E ACTUAL: array([[[[0. , 1.875 , 0. , 0. ], | |
| E [0. , 0. , 0. , 0. ], | |
| E [0. , 0. , 0. , 0. ]],... | |
| E DESIRED: array([[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size0-size1] __________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x343593790> | |
| outer_size = (2, 2), size = (4, 3), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[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) | |
| b = array([[[[-0.9891214 , -0.36778665, 1.2879252 ], | |
| [ 0.19397442, 0.9202309 , 0.5771038 ], | |
| [-0.63646..., | |
| [ 1.4299386 , -0.15647532, -0.67375916], | |
| [-0.6390601 , -0.06136133, -0.39278492]]]], dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 48 / 48 (100%) | |
| E Max absolute difference among violations: 2.2074711 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[[0., 0., 0.], | |
| E [0., 0., 0.], | |
| E [0., 0., 0.],... | |
| E DESIRED: array([[[[-0.989121, -0.367787, 1.287925], | |
| E [ 0.193974, 0.920231, 0.577104], | |
| E [-0.636464, 0.541952, -0.316595],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size1-size2] __________ | |
| [gw6] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x3424b4f30> | |
| outer_size = (2,), size = (4, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[-8.5753856e-33, -8.1400001e-01, 2.9300647e-22, -8.1399995e-01], | |
| [ 4.2477449e+33, -8.1399995e-01, -2....e+00, 9.7890608e-03], | |
| [-8.5753900e-33, 8.1400001e-01, 2.9300662e-22, 8.1399995e-01]]], | |
| dtype=float32) | |
| b = array([[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.54195...59779 , 1.2819022 , 1.0740306 ], | |
| [ 0.39262083, 0.00511431, -0.36176687, -1.2302322 ]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 32 / 32 (100%) | |
| E Max absolute difference among violations: 4.247746e+33 | |
| E Max relative difference among violations: 5.627871e+33 | |
| E ACTUAL: array([[[-8.575386e-33, -8.140000e-01, 2.930065e-22, -8.140000e-01], | |
| E [ 4.247745e+33, -8.140000e-01, -2.265472e+00, 9.789061e-03], | |
| E [-8.575386e-33, -8.140000e-01, 2.930066e-22, 8.140000e-01],... | |
| E DESIRED: array([[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size2-size0] __________ | |
| [gw6] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x34299ef90> | |
| outer_size = (2, 3, 4), size = (3, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[[ 0.00000000e+00, 0.00000000e+00, -1.12964753e-24, | |
| -1.77739334e+00], | |
| [ 0.00000000e+00,...059e+00], | |
| [ 7.92648077e+00, 1.86738122e+00, 8.27536938e+05, | |
| 1.54210103e+00]]]]], dtype=float32) | |
| b = array([[[[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.5...95, -0.38024592, -1.7452345 ], | |
| [-0.07476547, -0.6747657 , -1.7015473 , 0.31218666]]]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 288 / 288 (100%) | |
| E Max absolute difference among violations: 1.5787835e+38 | |
| E Max relative difference among violations: 2.7658134e+38 | |
| E ACTUAL: array([[[[[ 0.000000e+00, 0.000000e+00, -1.129648e-24, -1.777393e+00], | |
| E [ 0.000000e+00, 0.000000e+00, 1.626158e+00, 1.790796e+00], | |
| E [ 1.487867e-01, -1.712491e+00, -4.540841e-21, 1.779025e+00]],... | |
| E DESIRED: array([[[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size0-size2] __________ | |
| [gw15] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x34357af50> | |
| outer_size = (2, 2), size = (4, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[0.0e+00, 0.0e+00, 1.4e-45, 0.0e+00], | |
| [2.8e-45, 0.0e+00, 4.2e-45, 0.0e+00], | |
| [5.6e-45, 0.0e+...0e+00], | |
| [3.9e-44, 0.0e+00, 4.1e-44, 0.0e+00], | |
| [4.2e-44, 0.0e+00, 4.3e-44, 0.0e+00]]]], dtype=float32) | |
| b = array([[[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.541...746 , 0.21630684, 0.9843764 ], | |
| [-0.54308414, -0.558615 , -0.31648284, -0.46063974]]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 64 / 64 (100%) | |
| E Max absolute difference among violations: 2.2899098 | |
| E Max relative difference among violations: 1. | |
| E ACTUAL: array([[[[0.0e+00, 0.0e+00, 1.4e-45, 0.0e+00], | |
| E [2.8e-45, 0.0e+00, 4.2e-45, 0.0e+00], | |
| E [5.6e-45, 0.0e+00, 7.0e-45, 0.0e+00],... | |
| E DESIRED: array([[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size2-size1] __________ | |
| [gw6] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x34246dff0> | |
| outer_size = (2, 3, 4), size = (4, 3), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[[ 0.00000000e+00, 0.00000000e+00, 1.88882680e+17], | |
| [ 1.60605943e+00, 0.00000000e+00, 0.0000000...54453409e+00, 1.33749172e-08], | |
| [ 1.82165051e+00, -1.08123036e-15, 1.73825657e+00]]]]], | |
| dtype=float32) | |
| b = array([[[[[-0.9891214 , -0.36778665, 1.2879252 ], | |
| [ 0.19397442, 0.9202309 , 0.5771038 ], | |
| [-0.63... [-0.38024592, -1.7452345 , -0.07476547], | |
| [-0.6747657 , -1.7015473 , 0.31218666]]]]], dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E Mismatched elements: 288 / 288 (100%) | |
| E Max absolute difference among violations: 1.118184e+38 | |
| E Max relative difference among violations: 1.0678549e+38 | |
| E ACTUAL: array([[[[[ 0.000000e+00, 0.000000e+00, 1.888827e+17], | |
| E [ 1.606059e+00, 0.000000e+00, 0.000000e+00], | |
| E [ 3.902068e-09, 1.655283e+00, -6.009219e-09],... | |
| E DESIRED: array([[[[[-0.989121, -0.367787, 1.287925], | |
| E [ 0.193974, 0.920231, 0.577104], | |
| E [-0.636464, 0.541952, -0.316595],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| _________ TestQRMatrix.test_stacked_inputs[float32-outer_size2-size2] __________ | |
| [gw6] darwin -- Python 3.13.5 /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/bin/python3.13 | |
| self = <numpy.matrixlib.tests.test_matrix_linalg.TestQRMatrix object at 0x34246e150> | |
| outer_size = (2, 3, 4), size = (4, 4), dt = <class 'numpy.float32'> | |
| @pytest.mark.parametrize("size", [ | |
| (3, 4), (4, 3), (4, 4), | |
| (3, 0), (0, 3)]) | |
| @pytest.mark.parametrize("outer_size", [ | |
| (2, 2), (2,), (2, 3, 4)]) | |
| @pytest.mark.parametrize("dt", [ | |
| np.single, np.double, | |
| np.csingle, np.cdouble]) | |
| def test_stacked_inputs(self, outer_size, size, dt): | |
| rng = np.random.default_rng(123) | |
| A = rng.normal(size=outer_size + size).astype(dt) | |
| B = rng.normal(size=outer_size + size).astype(dt) | |
| > self.check_qr_stacked(A) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1847: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1805: in check_qr_stacked | |
| assert_almost_equal(matmul(q, r), a) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| a = array([[[[[0.00000000e+00, 0.00000000e+00, 1.35141256e-35, | |
| 1.40129846e-45], | |
| [0.00000000e+00, 0.00...0129846e-45], | |
| [7.70905220e-30, 1.40129846e-45, 0.00000000e+00, | |
| 0.00000000e+00]]]]], dtype=float32) | |
| b = array([[[[[-0.9891214 , -0.36778665, 1.2879252 , 0.19397442], | |
| [ 0.9202309 , 0.5771038 , -0.63646364, 0.5...4 , -1.4681596 , -1.1755062 ], | |
| [ 0.98388773, 0.98529506, -1.439946 , -0.1667317 ]]]]], | |
| dtype=float32) | |
| single_decimal = 6, double_decimal = 12, kw = {}, decimal = 6 | |
| def assert_almost_equal(a, b, single_decimal=6, double_decimal=12, **kw): | |
| if asarray(a).dtype.type in (single, csingle): | |
| decimal = single_decimal | |
| else: | |
| decimal = double_decimal | |
| > old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| E AssertionError: | |
| E Arrays are not almost equal to 6 decimals | |
| E | |
| E nan location mismatch: | |
| E ACTUAL: array([[[[[0.000000e+00, 0.000000e+00, 1.351413e-35, 1.401298e-45], | |
| E [0.000000e+00, 0.000000e+00, nan, nan], | |
| E [8.357170e-39, 0.000000e+00, 1.246899e-11, 6.674993e-07],... | |
| E DESIRED: array([[[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| E [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| E [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:72: AssertionError | |
| =============================== warnings summary =============================== | |
| lib/python3.13/site-packages/numpy/_core/tests/test_umath.py:4802: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/_core/tests/test_umath.py:4802: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| np.matrix([0, 1]), | |
| lib/python3.13/site-packages/numpy/_core/tests/test_umath.py:4803: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/_core/tests/test_umath.py:4803: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| np.matrix([[0, 1], [2, 5]]), | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:324: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:324: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = matrix([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:404: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:404: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m = matrix([[1], [2]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py:33: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py:33: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| np.matrix([2., 1.]).T), | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py:35: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py:35: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| np.matrix([[1., 2.], [3., 4.]]), | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py:36: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py:36: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| np.matrix([2., 1.]).T), | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py:42: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py:42: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| np.matrix([[1., 2.], [2., 1.]]), | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py:2: 16 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/tests/test_matlib.py:2: PendingDeprecationWarning: Importing from numpy.matlib is deprecated since 1.19.0. The matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| import numpy.matlib | |
| lib/python3.13/site-packages/numpy/lib/tests/test_arraysetops.py: 12 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/lib/tests/test_arraysetops.py:1069: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mat = np.matrix(data).astype(dtype) | |
| lib/python3.13/site-packages/numpy/lib/tests/test_shape_base.py: 3 warnings | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py: 14 warnings | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py: 2 warnings | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_regression.py: 3 warnings | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py: 4 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/defmatrix.py:70: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| return matrix(data, dtype=dtype, copy=False) | |
| lib/python3.13/site-packages/numpy/lib/tests/test_shape_base.py::TestKron::test_kron_smoke[asmatrix] | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_kron_matrix | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_kron_matrix | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_kron_matrix | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_regression.py::TestRegression::test_kron_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/lib/_shape_base_impl.py:1204: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| return result if not is_any_mat else matrix(result, copy=False) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::test_xerbla_override | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1984: DeprecationWarning: This process (pid=98355) is multi-threaded, use of fork() may lead to deadlocks in the child. | |
| pid = os.fork() | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex64] | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex128] | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/_linalg.py:2430: RuntimeWarning: divide by zero encountered in det | |
| r = _umath_linalg.det(a, signature=signature) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex64] | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex128] | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/_linalg.py:2430: RuntimeWarning: invalid value encountered in det | |
| r = _umath_linalg.det(a, signature=signature) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex64] | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex128] | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/_linalg.py:2373: RuntimeWarning: divide by zero encountered in slogdet | |
| sign, logdet = _umath_linalg.slogdet(a, signature=signature) | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex64] | |
| lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex128] | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/_linalg.py:2373: RuntimeWarning: invalid value encountered in slogdet | |
| sign, logdet = _umath_linalg.slogdet(a, signature=signature) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_repr | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:189: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| A = matrix([[1, 0], [0, 1]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_make_bool_matrix_from_str | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:193: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| A = matrix('True; True; False') | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_make_bool_matrix_from_str | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:194: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| B = matrix([[True], [True], [False]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCasting::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:200: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mA = matrix(A) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestAlgebra::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:221: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mA = matrix(A) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestAlgebra::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:238: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mA2 = matrix(A) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestAlgebra::test_pow | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:244: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m = matrix("1. 2.; 3. 4.") | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestAlgebra::test_scalar_type_pow | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:256: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m = matrix([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestAlgebra::test_notimplemented | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:263: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| A = matrix([[1., 2.], | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestMatrixReturn::test_instance_methods | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:277: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = matrix([1.0], dtype='f8') | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestMatrixReturn::test_instance_methods | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:309: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| c, d = matrix([0.0]).nonzero() | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestNewScalarIndexing::test_fancy_indexing | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:344: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x, matrix([[3, 4, 3]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestNewScalarIndexing::test_fancy_indexing | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:347: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x, matrix([[3, 4], [1, 2]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestNewScalarIndexing::test_fancy_indexing | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:350: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x, matrix([[4, 3], [1, 2]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_stack | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:154: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m = np.matrix([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_object_scalar_multiply | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:162: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| arr = np.matrix([1, 2], dtype=object) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_object_scalar_multiply | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:163: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| desired = np.matrix([[3, 6]], dtype=object) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_nanfunctions_matrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:172: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mat = np.matrix(np.eye(3)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_nanfunctions_matrices_general | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:213: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mat = np.matrix(np.eye(3)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_average_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:239: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| y = np.matrix(np.random.rand(5, 5)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_average_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:242: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = np.matrix([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_average_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:243: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| w = np.matrix([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_dot_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:255: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mx = np.matrix(x) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_dot_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:256: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| my = np.matrix(y) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_ediff1d_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:264: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert isinstance(np.ediff1d(np.matrix(1)), np.matrix) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_ediff1d_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:265: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert isinstance(np.ediff1d(np.matrix(1), to_begin=1), np.matrix) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_apply_along_axis_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:275: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m = np.matrix([[0, 1], [2, 3]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_apply_along_axis_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:276: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| expected = np.matrix([[0, 2], [4, 6]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::TestConcatenatorMatrix::test_matrix | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::TestConcatenatorMatrix::test_matrix | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::TestConcatenatorMatrix::test_matrix_scalar | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestConcatenator::test_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/lib/_index_tricks_impl.py:440: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| res = self.makemat(res) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::TestConcatenatorMatrix::test_matrix_builder | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_basic | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_bmat_nondefault_str | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_bmat_nondefault_str | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_bmat_nondefault_str | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_bmat_nondefault_str | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/defmatrix.py:1107: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| return matrix(_from_string(obj, glob_dict, loc_dict)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::TestConcatenatorMatrix::test_matrix_builder | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/defmatrix.py:1117: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| return matrix(concatenate(arr_rows, axis=0)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_array_equal_error_message_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:334: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(np.array([1, 2]), np.matrix([1, 2])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_array_almost_equal_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:350: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m1 = np.matrix([[1., 2.]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_array_almost_equal_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:351: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m2 = np.matrix([[1., np.nan]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_array_almost_equal_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:352: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m3 = np.matrix([[1., -np.inf]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_array_almost_equal_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:353: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m4 = np.matrix([[np.nan, np.inf]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_array_almost_equal_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:354: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m5 = np.matrix([[1., 2.], [np.nan, np.inf]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_matrix_indexing | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:43: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x1 = np.matrix([[1, 2, 3], [4, 3, 2]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_matrix_indexing | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:78: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x1 = np.matrix(np.arange(5) * 1.0) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_pickling_subbaseclass | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:87: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = masked_array(np.matrix(list(range(10))), mask=[1, 0, 1, 0, 0] * 2) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_count_mean_with_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:95: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m = masked_array(np.matrix([[1, 2], [3, 4]]), mask=np.zeros((2, 2))) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestNewScalarIndexing::test_matrix_element | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:353: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = matrix([[1, 2, 3], [4, 5, 6]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestNewScalarIndexing::test_matrix_element | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:354: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x[0][0], matrix([[1, 2, 3]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestNewScalarIndexing::test_matrix_element | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:359: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = matrix(0) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestShape::test_numpy_ravel_order | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:428: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = matrix([[1, 2, 3], [4, 5, 6]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestShape::test_matrix_ravel_order | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:435: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = matrix([[1, 2, 3], [4, 5, 6]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_fancy_indexing | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:27: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| m = np.matrix([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_polynomial_mapdomain | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:42: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = np.matrix([dom1, dom1]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_sort_matrix_none | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:49: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = np.matrix([[2, 1, 0]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_sort_matrix_none | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:51: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| expected = np.matrix([[0, 1, 2]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_partition_matrix_none | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:59: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = np.matrix([[2, 1, 0]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_partition_matrix_none | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:61: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| expected = np.matrix([[0, 1, 2]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_dot_scalar_and_matrix_of_objects | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:69: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| arr = np.matrix([1, 2], dtype=object) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_dot_scalar_and_matrix_of_objects | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:70: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| desired = np.matrix([[3, 6]], dtype=object) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_flat | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:107: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| test = masked_array(np.matrix([[1, 2, 3]]), mask=[0, 0, 1]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_flat | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:112: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| test = masked_array(np.matrix([[1, 2, 3]]), mask=[0, 0, 1]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_flat | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:114: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| control = masked_array(np.matrix([[3, 2, 1]]), mask=[1, 0, 0]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_flat | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:117: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| test = masked_array(np.matrix([[1, 2, 3]]), mask=[0, 0, 1]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_flat | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:123: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = masked_array(np.matrix(np.eye(2)), mask=0) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:133: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| X = np.matrix(x) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:143: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(mXbig.all(0), np.matrix([False, False, True])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:144: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(mXbig.all(1), np.matrix([False, False, True]).T) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:145: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(mXbig.any(0), np.matrix([False, False, True])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:146: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(mXbig.any(1), np.matrix([True, True, True]).T) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:150: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(mXsmall.all(0), np.matrix([True, True, False])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:151: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(mXsmall.all(1), np.matrix([False, False, False]).T) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:152: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(mXsmall.any(0), np.matrix([True, True, False])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_allany_onmatrices | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:153: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(mXsmall.any(1), np.matrix([True, True, False]).T) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_compressed | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:156: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = masked_array(np.matrix([1, 2, 3, 4]), mask=[0, 0, 0, 0]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestMaskedMatrix::test_ravel | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:165: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = masked_array(np.matrix([1, 2, 3, 4, 5]), mask=[[0, 1, 0, 0, 0]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestSubclassing::test_maskedarray_subclassing | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestSubclassing::test_masked_unary_operations | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestSubclassing::test_masked_binary_operations | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestSubclassing::test_masked_binary_operations2 | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py:25: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mat = np.matrix(data) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py::TestConcatenator::test_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/ma/extras.py:1835: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| data = super().makemat(arr.data, copy=False) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormDoubleMatrix::test_matrix_empty | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormSingleMatrix::test_matrix_empty | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormInt64Matrix::test_matrix_empty | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1463: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(norm(self.array([[]], dtype=self.dt)), 0.0) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py: 22 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:79: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| arr = np.matrix([[1, 2], [3, 4]], dtype=dt) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py: 22 warnings | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:80: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| desired = np.matrix([[3, 6], [9, 12]], dtype=dt) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_inner_scalar_and_matrix_of_objects | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:88: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| arr = np.matrix([1, 2], dtype=object) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_inner_scalar_and_matrix_of_objects | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:89: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| desired = np.matrix([[3, 6]], dtype=object) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_iter_allocate_output_subtype | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:100: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = np.matrix([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormDoubleMatrix::test_matrix_return_type | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormSingleMatrix::test_matrix_return_type | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormInt64Matrix::test_matrix_return_type | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1466: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = self.array([[1, 0, 1], [0, 1, 1]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormDoubleMatrix::test_matrix_2x2 | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormSingleMatrix::test_matrix_2x2 | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormInt64Matrix::test_matrix_2x2 | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1517: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| A = self.array([[1, 3], [5, 7]], dtype=self.dt) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormDoubleMatrix::test_matrix_3x3 | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormSingleMatrix::test_matrix_3x3 | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormInt64Matrix::test_matrix_3x3 | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1538: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| self.array([[1, 2, 3], [6, 0, 5], [3, 2, 1]], dtype=self.dt) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormDoubleMatrix::test_bad_args | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormSingleMatrix::test_bad_args | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestNormInt64Matrix::test_bad_args | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1552: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| A = self.array([[1, 2, 3], [4, 5, 6]], dtype=self.dt) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_mode_raw | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1757: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = self.array([[1, 2], [3, 4], [5, 6]], dtype=np.double) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py::test_array_astype | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_interaction.py:135: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = np.matrix([[0, 1, 2], [3, 4, 5]], dtype='f4') | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_numeric.py::TestDot::test_matscalar | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_numeric.py:7: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| b1 = np.matrix(np.ones((3, 3), dtype=complex)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_numeric.py::test_diagonal | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_numeric.py:12: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| b1 = np.matrix([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_numeric.py::test_diagonal | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_numeric.py:13: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| diag_b1 = np.matrix([[1, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_regression.py::TestRegression::test_kron_matrix | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_regression.py:8: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = np.matrix('[1 0; 1 0]') | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_regression.py::TestRegression::test_matrix_properties | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_regression.py:13: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = np.matrix([1.0], dtype=float) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_regression.py::TestRegression::test_matrix_properties | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_regression.py:16: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| c, d = np.matrix([0.0]).nonzero() | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_mode_all_but_economic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1773: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| a = self.array([[1, 2], [3, 4]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_mode_all_but_economic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py:1774: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| b = self.array([[1, 2], [3, 4], [5, 6]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:19: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mA = matrix(A) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:32: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| AEresult = matrix([[1, 2, 5, 6], [3, 4, 7, 8]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/defmatrix.py:1114: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| return matrix(concatenate(obj, axis=-1)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:36: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mvec = matrix(vec) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestCtor::test_exceptions | |
| /nix/store/riv3i1wrig5kaf89wgpx46581f71gfqb-python3-3.13.5/lib/python3.13/unittest/case.py:238: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| callable_obj(*args, **kwargs) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_sum | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| M = matrix([[1, 2, 0, 0], | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_sum | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:72: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| sum0 = matrix([8, 12, 4, 6]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_sum | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:73: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| sum1 = matrix([3, 7, 6, 14]).T | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_prod | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:84: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = matrix([[1, 2, 3], [4, 5, 6]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_prod | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:86: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x.prod(0), matrix([[4, 10, 18]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_prod | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:87: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x.prod(1), matrix([[6], [120]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_prod | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:90: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(np.prod(x, axis=0), matrix([[4, 10, 18]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_prod | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:91: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(np.prod(x, axis=1), matrix([[6], [120]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_prod | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:93: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| y = matrix([0, 1, 3]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_max | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:97: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = matrix([[1, 2, 3], [4, 5, 6]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_max | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:99: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x.max(0), matrix([[4, 5, 6]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_max | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:100: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x.max(1), matrix([[3], [6]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_max | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:103: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(np.max(x, axis=0), matrix([[4, 5, 6]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_max | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:104: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(np.max(x, axis=1), matrix([[3], [6]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_min | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:107: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = matrix([[1, 2, 3], [4, 5, 6]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_min | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:109: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x.min(0), matrix([[1, 2, 3]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_min | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:110: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(x.min(1), matrix([[1], [4]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_min | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:113: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(np.min(x, axis=0), matrix([[1, 2, 3]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_min | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:114: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_equal(np.min(x, axis=1), matrix([[1], [4]])) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:134: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mA = matrix(A) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_basic | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:141: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mB = matrix(B) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_pinv | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:147: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| x = matrix(np.arange(6).reshape(2, 3)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_pinv | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:148: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| xpinv = matrix([[-0.77777778, 0.27777778], | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_comparisons | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:155: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mA = matrix(A) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_comparisons | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:156: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| mB = matrix(A) + 0.1 | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_comparisons | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:158: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_(np.all(mB == matrix(A + 0.1))) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_comparisons | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:159: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_(not np.any(mB == matrix(A - 0.1))) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_noaxis | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:184: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| A = matrix([[1, 0], [0, 1]]) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_noaxis | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:185: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_(A.sum() == matrix(2)) | |
| lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py::TestProperties::test_noaxis | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py:186: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_(A.mean() == matrix(0.5)) | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py::test_ones | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/tests/test_matlib.py:13: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| np.matrix([[ 1., 1., 1.], | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py::test_ones | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/tests/test_matlib.py:16: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_array_equal(numpy.matlib.ones(2), np.matrix([[ 1., 1.]])) | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py::test_zeros | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/tests/test_matlib.py:20: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| np.matrix([[ 0., 0., 0.], | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py::test_zeros | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/tests/test_matlib.py:23: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_array_equal(numpy.matlib.zeros(2), np.matrix([[0., 0.]])) | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py::test_identity | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/tests/test_matlib.py:27: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_array_equal(x, np.matrix([[1, 0], [0, 1]])) | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py::test_eye | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/tests/test_matlib.py:31: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_array_equal(xc, np.matrix([[ 0, 1, 0], | |
| lib/python3.13/site-packages/numpy/tests/test_matlib.py::test_eye | |
| /nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/tests/test_matlib.py:38: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| assert_array_equal(xf, np.matrix([[ 1, 0, 0, 0], | |
| -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html | |
| =========================== short test summary info ============================ | |
| FAILED lib/python3.13/site-packages/numpy/_core/tests/test_einsum.py::TestEinsum::test_einsum_sums_float32 - AssertionError: | |
| Arrays are not equal | |
| Mismatched elements: 24 / 24 (100%) | |
| Max absolute difference among violations: 107. | |
| Max relative difference among violations: inf | |
| ACTUAL: array([[ 6., 7., 8., 9., 10., 11.], | |
| [ 18., 23., 28., 33., 38., 43.], | |
| [ 30., 39., 48., 57., 66., 75.], | |
| [ 42., 55., 68., 81., 94., 107.]], dtype=float32) | |
| DESIRED: array([[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) | |
| FAILED lib/python3.13/site-packages/numpy/_core/tests/test_multiarray.py::TestMatmul::test_matrix_matrix_values - AssertionError: | |
| Arrays are not equal | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 509.03125 | |
| Max relative difference among violations: 127.2578125 | |
| ACTUAL: array([[2.152394e-41, 7.826805e-03], | |
| [2.003662e+00, 5.130312e+02]], dtype=float32) | |
| DESIRED: array([[3, 2], | |
| [7, 4]]) | |
| FAILED lib/python3.13/site-packages/numpy/_core/tests/test_multiarray.py::TestMatmulOperator::test_matrix_matrix_values - AssertionError: | |
| Arrays are not equal | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 509.03125 | |
| Max relative difference among violations: 127.2578125 | |
| ACTUAL: array([[2.152394e-41, 7.826805e-03], | |
| [2.003662e+00, 5.130312e+02]], dtype=float32) | |
| DESIRED: array([[3, 2], | |
| [7, 4]]) | |
| FAILED lib/python3.13/site-packages/numpy/_core/tests/test_ufunc.py::test_ufunc_noncontiguous[matmul] - AssertionError: | |
| Not equal to tolerance rtol=3.57628e-07, atol=3.57628e-07 | |
| Mismatched elements: 36 / 36 (100%) | |
| Max absolute difference among violations: 1.7188729e+10 | |
| Max relative difference among violations: 126.99327 | |
| ACTUAL: array([[[ 1., 2., 3., 4., 5., 6.], | |
| [ 7., 8., 9., 10., 11., 12.], | |
| [13., 14., 15., 16., 17., 18.],... | |
| DESIRED: array([[[7.812911e-03, 2.000110e+00, 3.200184e+01, 5.120308e+02, | |
| 2.048128e+03, 8.192533e+03], | |
| [3.277197e+04, 1.310888e+05, 2.621793e+05, 5.243622e+05,... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestSVD::test_sq_cases - AssertionError: In test case: <LinalgCase: single> | |
| Traceback (most recent call last): | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| case.check(self.do) | |
| ~~~~~~~~~~^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| do(self.a, self.b, tags=self.tags) | |
| ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 696, in do | |
| assert_allclose(a, matmul(np.asarray(u) * np.asarray(s)[..., None, :], | |
| ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| np.asarray(vt)), | |
| ^^^^^^^^^^^^^^^^ | |
| rtol=get_rtol(u.dtype)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1718, in assert_allclose | |
| assert_array_compare(compare, actual, desired, err_msg=str(err_msg), | |
| ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| verbose=verbose, header=header, equal_nan=equal_nan, | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| strict=strict) | |
| ^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| raise AssertionError(msg) | |
| AssertionError: | |
| Not equal to tolerance rtol=1e-05, atol=0 | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 4. | |
| Max relative difference among violations: 0.06666667 | |
| ACTUAL: array([[1., 2.], | |
| [3., 4.]], dtype=float32) | |
| DESIRED: array([[0. , 1.875], | |
| [0. , 0. ]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_mode_all_but_economic - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 4. | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[0., 0.], | |
| [0., 0.]], dtype=float32) | |
| DESIRED: array([[1., 2.], | |
| [3., 4.]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size0-size0] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 48 / 48 (100%) | |
| Max absolute difference among violations: 2.2074711 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[[0., 0., 0., 0.], | |
| [0., 0., 0., 0.], | |
| [0., 0., 0., 0.]],... | |
| DESIRED: array([[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestInv::test_sq_cases - AssertionError: In test case: <LinalgCase: single> | |
| Traceback (most recent call last): | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| case.check(self.do) | |
| ~~~~~~~~~~^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| do(self.a, self.b, tags=self.tags) | |
| ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 567, in do | |
| assert_almost_equal(matmul(a, a_inv), | |
| ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ | |
| identity_like_generalized(a)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 72, in assert_almost_equal | |
| old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 620, in assert_almost_equal | |
| return assert_array_almost_equal(actual, desired, decimal, err_msg) | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1175, in assert_array_almost_equal | |
| assert_array_compare(compare, actual, desired, err_msg=err_msg, | |
| ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| verbose=verbose, | |
| ^^^^^^^^^^^^^^^^ | |
| header=('Arrays are not almost equal to %d decimals' % decimal), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| precision=decimal) | |
| ^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| raise AssertionError(msg) | |
| AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 2 / 4 (50%) | |
| Max absolute difference among violations: 1. | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[0. , 0. ], | |
| [0. , 1.875]], dtype=float32) | |
| DESIRED: array([[1., 0.], | |
| [0., 1.]]) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size0-size1] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 48 / 48 (100%) | |
| Max absolute difference among violations: 2.2074711 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[[0., 0., 0.], | |
| [0., 0., 0.], | |
| [0., 0., 0.],... | |
| DESIRED: array([[[[-0.989121, -0.367787, 1.287925], | |
| [ 0.193974, 0.920231, 0.577104], | |
| [-0.636464, 0.541952, -0.316595],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestPinv::test_nonsq_cases - AssertionError: In test case: <LinalgCase: single_nsq_1> | |
| Traceback (most recent call last): | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| case.check(self.do) | |
| ~~~~~~~~~~^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| do(self.a, self.b, tags=self.tags) | |
| ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 871, in do | |
| assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 72, in assert_almost_equal | |
| old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 620, in assert_almost_equal | |
| return assert_array_almost_equal(actual, desired, decimal, err_msg) | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1175, in assert_array_almost_equal | |
| assert_array_compare(compare, actual, desired, err_msg=err_msg, | |
| ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| verbose=verbose, | |
| ^^^^^^^^^^^^^^^^ | |
| header=('Arrays are not almost equal to %d decimals' % decimal), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| precision=decimal) | |
| ^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| raise AssertionError(msg) | |
| AssertionError: | |
| Arrays are not almost equal to 5 decimals | |
| Mismatched elements: 6 / 6 (100%) | |
| Max absolute difference among violations: 6.3018713 | |
| Max relative difference among violations: 1.3628039 | |
| ACTUAL: array([[-0.3628 , -0.51691, -0.77536], | |
| [ 0.93187, -0.20125, -0.30187]], dtype=float32) | |
| DESIRED: array([[1., 2., 3.], | |
| [3., 4., 6.]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size0-size2] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 64 / 64 (100%) | |
| Max absolute difference among violations: 2.2899098 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[[0.0e+00, 0.0e+00, 1.4e-45, 0.0e+00], | |
| [2.8e-45, 0.0e+00, 4.2e-45, 0.0e+00], | |
| [5.6e-45, 0.0e+00, 7.0e-45, 0.0e+00],... | |
| DESIRED: array([[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size1-size0] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 24 / 24 (100%) | |
| Max absolute difference among violations: 3.9009304 | |
| Max relative difference among violations: 17.33905 | |
| ACTUAL: array([[[0. , 1.875 , 0. , 2. ], | |
| [0. , 2.125 , 0. , 2.25 ], | |
| [0. , 2.3125 , 0. , 2.375 ]],... | |
| DESIRED: array([[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestEig::test_sq_cases - AssertionError: In test case: <LinalgCase: single> | |
| Traceback (most recent call last): | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| case.check(self.do) | |
| ~~~~~~~~~~^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| do(self.a, self.b, tags=self.tags) | |
| ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 635, in do | |
| assert_allclose(matmul(a, eigenvectors), | |
| ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| np.asarray(eigenvectors) * np.asarray(eigenvalues)[..., None, :], | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| rtol=get_rtol(eigenvalues.dtype)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1718, in assert_allclose | |
| assert_array_compare(compare, actual, desired, err_msg=str(err_msg), | |
| ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| verbose=verbose, header=header, equal_nan=equal_nan, | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| strict=strict) | |
| ^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| raise AssertionError(msg) | |
| AssertionError: | |
| Not equal to tolerance rtol=1e-05, atol=0 | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 4.178321 | |
| Max relative difference among violations: 5.7477827 | |
| ACTUAL: array([[ 1. , 0.707107], | |
| [ 1. , -0.707107]], dtype=float32) | |
| DESIRED: array([[ 0.30697 , -2.234727], | |
| [-0.210625, -4.885427]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestPinv::test_sq_cases - AssertionError: In test case: <LinalgCase: single> | |
| Traceback (most recent call last): | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| case.check(self.do) | |
| ~~~~~~~~~~^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| do(self.a, self.b, tags=self.tags) | |
| ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 871, in do | |
| assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 72, in assert_almost_equal | |
| old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 620, in assert_almost_equal | |
| return assert_array_almost_equal(actual, desired, decimal, err_msg) | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1175, in assert_array_almost_equal | |
| assert_array_compare(compare, actual, desired, err_msg=err_msg, | |
| ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| verbose=verbose, | |
| ^^^^^^^^^^^^^^^^ | |
| header=('Arrays are not almost equal to %d decimals' % decimal), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| precision=decimal) | |
| ^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| raise AssertionError(msg) | |
| AssertionError: | |
| Arrays are not almost equal to 5 decimals | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 3.9145143 | |
| Max relative difference among violations: 1.4572572 | |
| ACTUAL: array([[-0.40455, -0.91451], | |
| [-0.91451, 0.40455]], dtype=float32) | |
| DESIRED: array([[1., 2.], | |
| [3., 4.]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size1-size1] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 24 / 24 (100%) | |
| Max absolute difference among violations: 2.2074711 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[0., 0., 0.], | |
| [0., 0., 0.], | |
| [0., 0., 0.],... | |
| DESIRED: array([[[-0.989121, -0.367787, 1.287925], | |
| [ 0.193974, 0.920231, 0.577104], | |
| [-0.636464, 0.541952, -0.316595],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size1-size2] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 32 / 32 (100%) | |
| Max absolute difference among violations: 3.6509304 | |
| Max relative difference among violations: 4.7718506 | |
| ACTUAL: array([[[0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 2.125 ],... | |
| DESIRED: array([[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestPinvHermitian::test_herm_cases - AssertionError: In test case: <LinalgCase: hsingle> | |
| Traceback (most recent call last): | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| case.check(self.do) | |
| ~~~~~~~~~~^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| do(self.a, self.b, tags=self.tags) | |
| ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 885, in do | |
| assert_almost_equal(dot(dot(a, a_ginv), a), a, single_decimal=5, double_decimal=11) | |
| ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 72, in assert_almost_equal | |
| old_assert_almost_equal(a, b, decimal=decimal, **kw) | |
| ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 620, in assert_almost_equal | |
| return assert_array_almost_equal(actual, desired, decimal, err_msg) | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1175, in assert_array_almost_equal | |
| assert_array_compare(compare, actual, desired, err_msg=err_msg, | |
| ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| verbose=verbose, | |
| ^^^^^^^^^^^^^^^^ | |
| header=('Arrays are not almost equal to %d decimals' % decimal), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| precision=decimal) | |
| ^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| raise AssertionError(msg) | |
| AssertionError: | |
| Arrays are not almost equal to 5 decimals | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 2.7071068 | |
| Max relative difference among violations: 1.3535534 | |
| ACTUAL: array([[ 0.70711, -0.70711], | |
| [ 0.70711, 0.70711]], dtype=float32) | |
| DESIRED: array([[1., 2.], | |
| [2., 1.]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size2-size0] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 288 / 288 (100%) | |
| Max absolute difference among violations: 2.8513694 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[[[ 0.000000e+00, 0.000000e+00, -2.287781e-20, 1.401298e-45], | |
| [ 1.351562e+00, 1.401298e-45, 3.391142e-43, 0.000000e+00], | |
| [ 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00]],... | |
| DESIRED: array([[[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size2-size1] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 288 / 288 (100%) | |
| Max absolute difference among violations: 1.118184e+38 | |
| Max relative difference among violations: 1.0678549e+38 | |
| ACTUAL: array([[[[[ 0.000000e+00, 0.000000e+00, 1.888792e+17], | |
| [ 1.606059e+00, 4.610917e-31, 1.401298e-45], | |
| [ 3.902021e-09, 1.655283e+00, -6.009219e-09],... | |
| DESIRED: array([[[[[-0.989121, -0.367787, 1.287925], | |
| [ 0.193974, 0.920231, 0.577104], | |
| [-0.636464, 0.541952, -0.316595],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestQR::test_stacked_inputs[float32-outer_size2-size2] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| nan location mismatch: | |
| ACTUAL: array([[[[[0.000000e+00, 0.000000e+00, 6.286718e-36, 1.401298e-45], | |
| [1.353394e+00, 1.401298e-45, nan, nan], | |
| [4.022423e-38, 0.000000e+00, 1.246899e-11, 6.674993e-07],... | |
| DESIRED: array([[[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestMatrixPower::test_large_power[dt10] - AssertionError: | |
| Arrays are not equal | |
| Mismatched elements: 8 / 16 (50%) | |
| Max absolute difference among violations: 1. | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[0.e+00, 1.e-45, 0.e+00, 0.e+00], | |
| [0.e+00, 0.e+00, 1.e-45, 0.e+00], | |
| [0.e+00, 0.e+00, 0.e+00, 1.e-45], | |
| [1.e-45, 0.e+00, 0.e+00, 0.e+00]], dtype=float32) | |
| DESIRED: array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestMatrixPower::test_power_is_two[dt10] - AssertionError: | |
| Arrays are not equal | |
| Mismatched elements: 8 / 32 (25%) | |
| Max absolute difference among violations: 1.e-45 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[0.e+00, 0.e+00, 1.e-45, 0.e+00], | |
| [0.e+00, 0.e+00, 0.e+00, 0.e+00], | |
| [0.e+00, 0.e+00, 0.e+00, 0.e+00],... | |
| DESIRED: array([[[0.e+00, 0.e+00, 0.e+00, 0.e+00], | |
| [1.e-45, 0.e+00, 0.e+00, 0.e+00], | |
| [0.e+00, 0.e+00, 0.e+00, 0.e+00],... | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestMatrixPower::test_power_is_minus_one[dt10] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 9 / 16 (56.2%) | |
| Max absolute difference among violations: 2.375 | |
| Max relative difference among violations: 1.4375 | |
| ACTUAL: array([[0. , 0. , 0. , 1.875 ], | |
| [0. , 2. , 0. , 2.125 ], | |
| [0. , 2.25 , 0. , 2.3125], | |
| [0. , 2.375 , 0. , 2.4375]], dtype=float32) | |
| DESIRED: array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| FAILED lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py::TestEighCases::test_herm_cases - AssertionError: In test case: <LinalgCase: hsingle> | |
| Traceback (most recent call last): | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 386, in check_cases | |
| case.check(self.do) | |
| ~~~~~~~~~~^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 116, in check | |
| do(self.a, self.b, tags=self.tags) | |
| ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py", line 1215, in do | |
| assert_allclose(matmul(a, evc), | |
| ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^ | |
| np.asarray(ev)[..., None, :] * np.asarray(evc), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| rtol=get_rtol(ev.dtype)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 1718, in assert_allclose | |
| assert_array_compare(compare, actual, desired, err_msg=str(err_msg), | |
| ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| verbose=verbose, header=header, equal_nan=equal_nan, | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| strict=strict) | |
| ^^^^^^^^^^^^^^ | |
| File "/nix/store/72h2g6r18jbka9spi6zy19pdb8xdc4dh-python3.13-numpy-2.3.1/lib/python3.13/site-packages/numpy/testing/_private/utils.py", line 926, in assert_array_compare | |
| raise AssertionError(msg) | |
| AssertionError: | |
| Not equal to tolerance rtol=1e-05, atol=0 | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 3.9963202 | |
| Max relative difference among violations: 1.8838835 | |
| ACTUAL: array([[ 0. , -1.875], | |
| [ 0. , 1.875]], dtype=float32) | |
| DESIRED: array([[ 0.707107, 2.12132 ], | |
| [-0.707107, 2.12132 ]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/_core/tests/test_multiarray.py::TestMethods::test_arr_mult[dot] - AssertionError: | |
| Arrays are not equal | |
| Mismatched elements: 2 / 4 (50%) | |
| Max absolute difference among violations: 1. | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[0., 0.], | |
| [0., 0.]], dtype=float32) | |
| DESIRED: array([[1., 0.], | |
| [0., 1.]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size1-size0] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 24 / 24 (100%) | |
| Max absolute difference among violations: 2.9099693 | |
| Max relative difference among violations: 15.046669 | |
| ACTUAL: array([[[0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ]],... | |
| DESIRED: array([[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_mode_all_but_economic - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 4 / 4 (100%) | |
| Max absolute difference among violations: 4. | |
| Max relative difference among violations: 1. | |
| ACTUAL: matrix([[0., 0.], | |
| [0., 0.]], dtype=float32) | |
| DESIRED: matrix([[1., 2.], | |
| [3., 4.]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size1-size1] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 24 / 24 (100%) | |
| Max absolute difference among violations: 2.2074711 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[0., 0., 0.], | |
| [0., 0., 0.], | |
| [0., 0., 0.],... | |
| DESIRED: array([[[-0.989121, -0.367787, 1.287925], | |
| [ 0.193974, 0.920231, 0.577104], | |
| [-0.636464, 0.541952, -0.316595],... | |
| FAILED lib/python3.13/site-packages/numpy/_core/tests/test_multiarray.py::TestMethods::test_arr_mult[matmul] - AssertionError: | |
| Arrays are not equal | |
| Mismatched elements: 2 / 4 (50%) | |
| Max absolute difference among violations: 1. | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[0., 0.], | |
| [0., 0.]], dtype=float32) | |
| DESIRED: array([[1., 0.], | |
| [0., 1.]], dtype=float32) | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size0-size0] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 48 / 48 (100%) | |
| Max absolute difference among violations: 2.9835896 | |
| Max relative difference among violations: 6.0980644 | |
| ACTUAL: array([[[[0. , 1.875 , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ], | |
| [0. , 0. , 0. , 0. ]],... | |
| DESIRED: array([[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size0-size1] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 48 / 48 (100%) | |
| Max absolute difference among violations: 2.2074711 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[[0., 0., 0.], | |
| [0., 0., 0.], | |
| [0., 0., 0.],... | |
| DESIRED: array([[[[-0.989121, -0.367787, 1.287925], | |
| [ 0.193974, 0.920231, 0.577104], | |
| [-0.636464, 0.541952, -0.316595],... | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size1-size2] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 32 / 32 (100%) | |
| Max absolute difference among violations: 4.247746e+33 | |
| Max relative difference among violations: 5.627871e+33 | |
| ACTUAL: array([[[-8.575386e-33, -8.140000e-01, 2.930065e-22, -8.140000e-01], | |
| [ 4.247745e+33, -8.140000e-01, -2.265472e+00, 9.789061e-03], | |
| [-8.575386e-33, -8.140000e-01, 2.930066e-22, 8.140000e-01],... | |
| DESIRED: array([[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size2-size0] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 288 / 288 (100%) | |
| Max absolute difference among violations: 1.5787835e+38 | |
| Max relative difference among violations: 2.7658134e+38 | |
| ACTUAL: array([[[[[ 0.000000e+00, 0.000000e+00, -1.129648e-24, -1.777393e+00], | |
| [ 0.000000e+00, 0.000000e+00, 1.626158e+00, 1.790796e+00], | |
| [ 1.487867e-01, -1.712491e+00, -4.540841e-21, 1.779025e+00]],... | |
| DESIRED: array([[[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ]],... | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size0-size2] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 64 / 64 (100%) | |
| Max absolute difference among violations: 2.2899098 | |
| Max relative difference among violations: 1. | |
| ACTUAL: array([[[[0.0e+00, 0.0e+00, 1.4e-45, 0.0e+00], | |
| [2.8e-45, 0.0e+00, 4.2e-45, 0.0e+00], | |
| [5.6e-45, 0.0e+00, 7.0e-45, 0.0e+00],... | |
| DESIRED: array([[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size2-size1] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| Mismatched elements: 288 / 288 (100%) | |
| Max absolute difference among violations: 1.118184e+38 | |
| Max relative difference among violations: 1.0678549e+38 | |
| ACTUAL: array([[[[[ 0.000000e+00, 0.000000e+00, 1.888827e+17], | |
| [ 1.606059e+00, 0.000000e+00, 0.000000e+00], | |
| [ 3.902068e-09, 1.655283e+00, -6.009219e-09],... | |
| DESIRED: array([[[[[-0.989121, -0.367787, 1.287925], | |
| [ 0.193974, 0.920231, 0.577104], | |
| [-0.636464, 0.541952, -0.316595],... | |
| FAILED lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py::TestQRMatrix::test_stacked_inputs[float32-outer_size2-size2] - AssertionError: | |
| Arrays are not almost equal to 6 decimals | |
| nan location mismatch: | |
| ACTUAL: array([[[[[0.000000e+00, 0.000000e+00, 1.351413e-35, 1.401298e-45], | |
| [0.000000e+00, 0.000000e+00, nan, nan], | |
| [8.357170e-39, 0.000000e+00, 1.246899e-11, 6.674993e-07],... | |
| DESIRED: array([[[[[-0.989121, -0.367787, 1.287925, 0.193974], | |
| [ 0.920231, 0.577104, -0.636464, 0.541952], | |
| [-0.316595, -0.322389, 0.097167, -1.52593 ],... | |
| = 36 failed, 44885 passed, 333 skipped, 44 xfailed, 5 xpassed, 394 warnings in 101.31s (0:01:41) = |
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