On Fri, Aug 6, 2010 at 6:05 AM, David Warde-Farley <d...@cs.toronto.edu>wrote:
> > On 2010-08-01, at 12:38 PM, Ralf Gommers wrote: > > I am pleased to announce the availability of the first beta of NumPy 1.5.0. > This will be the first NumPy release to include support for Python 3, as > well as for Python 2.7. Please try this beta and report any problems on the > NumPy mailing list. > > Binaries, sources and release notes can be found at > https://sourceforge.net/projects/numpy/files/ > Please note that binaries for Python 3.1 are not yet up, they will follow > as soon as a minor issue with building them is resolved. Building from > source with Python 3.1 should work without problems. > > > Hey Ralf, > > I am getting a single test failure: > > ====================================================================== > FAIL: test_special_values (test_umath_complex.TestClog) > ---------------------------------------------------------------------- > Traceback (most recent call last): > File > "/home/dwf/pkg/lib/python2.7/site-packages/numpy/core/tests/test_umath_complex.py", > line 275, in test_special_values > assert_almost_equal(np.log(np.conj(xa[i])), np.conj(np.log(xa[i]))) > File "/home/dwf/pkg/lib/python2.7/site-packages/numpy/testing/utils.py", > line 443, in assert_almost_equal > raise AssertionError(msg) > AssertionError: > Arrays are not almost equal > ACTUAL: array([-inf+3.14159265j]) > DESIRED: array([-inf-3.14159265j]) > >> raise AssertionError('\nArrays are not almost equal\n ACTUAL: > array([-inf+3.14159265j])\n DESIRED: array([-inf-3.14159265j])') > > This is on a Xeon E5540 built against the MKL 11.1, if that matters (I > suspect it doesn't). > > May be related to the recent inf/nan changes, but this test has been failing for a long time on Windows and was marked as knownfail in 1.4.1. It doesn't look like a serious problem, so we may just mark it knownfail again. Ralf
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion