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
________________________________________
From: NumPy-Discussion <numpy-discussion-boun...@scipy.org> on behalf of
Matthew Brett <matthew.br...@gmail.com>
Sent: 06 February 2016 22:26
To: Discussion of Numerical Python; SciPy Developers List
Subject: [Numpy-discussion] Multi-distribution Linux wheels - please test
Hi,
As some of you may have seen, Robert McGibbon and Nathaniel have just
guided a PEP for multi-distribution Linux wheels past the approval
process over on distutils-sig:
https://www.python.org/dev/peps/pep-0513/
The PEP includes a docker image on which y'all can build wheels which
match the PEP:
https://quay.io/repository/manylinux/manylinux
Now we're at the stage where we need stress-testing of the built
wheels to find any problems we hadn't thought of.
I've built numpy and scipy wheels here:
https://nipy.bic.berkeley.edu/manylinux/
So, if you have a Linux distribution handy, we would love to hear from
you about the results of testing these guys, maybe on the lines of:
pip install -f https://nipy.bic.berkeley.edu/manylinux numpy scipy
python -c 'import numpy; numpy.test()'
python -c 'import scipy; scipy.test()'
These manylinux wheels should soon be available on pypi, and soon
after, installable with latest pip, so we would like to fix as many
problems as possible before going live.
Cheers,
Matthew
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