[Numpy-discussion] Multi-distribution Linux wheels - please test

[Matthew Brett]

On Sat, Feb 6, 2016 at 9:28 PM, Nadav Horesh <nadavh at visionsense.com> wrote:
> Test platform: python 3.4.1 on archlinux x86_64
>
> scipy test: OK
>
> OK (KNOWNFAIL=97, SKIP=1626)
>
>
> numpy tests: Failed on long double and int128 tests, and got one error:
>
> Traceback (most recent call last):
>   File "/usr/lib/python3.5/site-packages/nose/case.py", line 198, in runTest
>     self.test(*self.arg)
>   File "/usr/lib/python3.5/site-packages/numpy/core/tests/test_longdouble.py", line 108, in test_fromstring_missing
>     np.array([1]))
>   File "/usr/lib/python3.5/site-packages/numpy/testing/utils.py", line 296, in assert_equal
>     return assert_array_equal(actual, desired, err_msg, verbose)
>   File "/usr/lib/python3.5/site-packages/numpy/testing/utils.py", line 787, in assert_array_equal
>     verbose=verbose, header='Arrays are not equal')
>   File "/usr/lib/python3.5/site-packages/numpy/testing/utils.py", line 668, in assert_array_compare
>     raise AssertionError(msg)
> AssertionError:
> Arrays are not equal
>
> (shapes (6,), (1,) mismatch)
>  x: array([ 1., -1.,  3.,  4.,  5.,  6.])
>  y: array([1])
>
> ----------------------------------------------------------------------
> Ran 6019 tests in 28.029s
>
> FAILED (KNOWNFAIL=13, SKIP=12, errors=1, failures=18

Great - thanks so much for doing this.

Do you get a different error if you compile from source?

If you compile from source, do you link to OpenBLAS?

Thanks again,

Matthew