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Test failures on macOS Big Sur (Version 11.4) with Apple M1 chip

See original GitHub issue

My issue is about …

Reproducing code example:

import scipy
scipy.test()

Error message:

=================================== FAILURES ===================================
_________________________ TestSmirnovi.test_round_trip _________________________
scipy/special/tests/test_kolmogorov.py:169: in test_round_trip
    FuncData(_sm_smi, dataset, (0, 1), 2, rtol=_rtol).check(dtypes=[int, float, float])
E   AssertionError: 
E   Max |adiff|: 0.484375
E   Max |rdiff|: 1337.21
E   Bad results (2 out of 7) for the following points (in output 0):
E                                3                           0.125 =>                       0.609375 !=                          0.125  (rdiff                          3.875)
E                               10                          0.0001 =>            0.13382053040755335 !=                         0.0001  (rdiff             1337.2053040755336)
        _sm_smi    = <function TestSmirnovi.test_round_trip.<locals>._sm_smi at 0x17ab99d30>
        _smc_smci  = <function TestSmirnovi.test_round_trip.<locals>._smc_smci at 0x17ab99820>
        dataset    = array([[1.00e+00, 4.00e-01, 4.00e-01],
       [1.00e+00, 6.00e-01, 6.00e-01],
       [2.00e+00, 8.75e-01, 8.75e-01],
 ...,
       [3.00e+00, 1.25e-01, 1.25e-01],
       [1.00e+01, 9.99e-01, 9.99e-01],
       [1.00e+01, 1.00e-04, 1.00e-04]])
        self       = <scipy.special.tests.test_kolmogorov.TestSmirnovi object at 0x17ab86b20>
______________________ TestSmirnovi.test_x_equals_0point5 ______________________
scipy/special/tests/test_kolmogorov.py:186: in test_x_equals_0point5
    FuncData(smirnovi, dataset, (0, 1), 2, rtol=_rtol).check(dtypes=[int, float, float])
E   AssertionError: 
E   Max |adiff|: 0.13456
E   Max |rdiff|: 0.708588
E   Bad results (7 out of 11) for the following points (in output 0):
E                                4                             0.5 =>                          0.125 !=                 0.255520481121  (rdiff             0.5108024239324789)
E                                5                             0.5 =>                            0.1 !=                 0.234559536069  (rdiff             0.5736690067012106)
E                                6                             0.5 =>            0.08333333333333333 !=                  0.21715965898  (rdiff             0.6162577629530716)
E                                7                             0.5 =>            0.07142857142857142 !=                 0.202722580034  (rdiff              0.647653599236002)
E                                8                             0.5 =>                         0.0625 !=                 0.190621765256  (rdiff               0.67212558379121)
E                                9                             0.5 =>            0.05555555555555555 !=                 0.180363501362  (rdiff             0.6919800561863548)
E                               10                             0.5 =>                           0.05 !=                  0.17157867006  (rdiff             0.7085884860716352)
        dataset    = array([[ 1.        ,  0.5       ,  0.5       ],
       [ 2.        ,  0.5       ,  0.3660254 ],
       [ 2.        ,  ...       ,  0.19062177],
       [ 9.        ,  0.5       ,  0.1803635 ],
       [10.        ,  0.5       ,  0.17157867]])
        self       = <scipy.special.tests.test_kolmogorov.TestSmirnovi object at 0x17ac6fe50>
=========================== short test summary info ============================
FAILED scipy/special/tests/test_kolmogorov.py::TestSmirnovi::test_round_trip
FAILED scipy/special/tests/test_kolmogorov.py::TestSmirnovi::test_x_equals_0point5

Scipy/Numpy/Python version information:

1.8.0.dev0+1551.d92e048 1.21.1 sys.version_info(major=3, minor=9, micro=6, releaselevel='final', serial=0)

I am using macOS Big Sur (Version 11.4) with Apple M1 chip. Though the conda environment is having Intel software and hence using Rosetta to run on the hardware.