numpy_linalg.log

$ python3.8 -c 'import numpy; numpy.linalg.test()'
NumPy version 1.20.3
NumPy relaxed strides checking option: True
NumPy CPU features: SSE SSE2 SSE3 SSSE3* SSE41* POPCNT* SSE42* AVX* F16C* FMA3? AVX2? AVX512F? AVX512CD? AVX512_KNL? AVX512_SKX? AVX512_CLX? AVX512_CNL? AVX512_ICL?
s...............................................F.............................................................................................................................................................................................................. [ 83%]
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============================================================================================================================== FAILURES ===============================================================================================================================
__________________________________________________________________________________________________________________________ TestCond.test_nan __________________________________________________________________________________________________________________________

self = <numpy.linalg.tests.test_linalg.TestCond object at 0x834825130>

    def test_nan(self):
        # nans should be passed through, not converted to infs
        ps = [None, 1, -1, 2, -2, 'fro']
        p_pos = [None, 1, 2, 'fro']
    
        A = np.ones((2, 2))
        A[0,1] = np.nan
        for p in ps:
>           c = linalg.cond(A, p)

A          = array([[ 1., nan],
       [ 1.,  1.]])
p          = None
p_pos      = [None, 1, 2, 'fro']
ps         = [None, 1, -1, 2, -2, 'fro']
self       = <numpy.linalg.tests.test_linalg.TestCond object at 0x834825130>

/usr/local/lib/python3.8/site-packages/numpy/linalg/tests/test_linalg.py:777: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
<__array_function__ internals>:5: in cond
    ???
/usr/local/lib/python3.8/site-packages/numpy/linalg/linalg.py:1765: in cond
    s = svd(x, compute_uv=False)
<__array_function__ internals>:5: in svd
    ???
/usr/local/lib/python3.8/site-packages/numpy/linalg/linalg.py:1672: in svd
    s = gufunc(a, signature=signature, extobj=extobj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

err = 'invalid value', flag = 8

    def _raise_linalgerror_svd_nonconvergence(err, flag):
>       raise LinAlgError("SVD did not converge")
E       numpy.linalg.LinAlgError: SVD did not converge

err        = 'invalid value'
flag       = 8

/usr/local/lib/python3.8/site-packages/numpy/linalg/linalg.py:97: LinAlgError
1 failed, 303 passed, 1 skipped, 28 deselected, 1 xfailed in 5.88 seconds