On Mon, Jun 9, 2014 at 8:49 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > > > > On Mon, Jun 9, 2014 at 6:47 PM, Charles R Harris <charlesr.har...@gmail.com> > wrote: >> >> >> >> >> On Mon, Jun 9, 2014 at 6:23 PM, Charles R Harris >> <charlesr.har...@gmail.com> wrote: >>> >>> >>> >>> >>> On Mon, Jun 9, 2014 at 6:21 PM, Jeff Reback <jeffreb...@gmail.com> wrote: >>>> >>>> The one pandas test failure that is valid: ERROR: test_interp_regression >>>> (pandas.tests.test_generic.TestSeries) >>>> >>>> has been fixed in pandas master / 0.14.1 (prob releasing in 1 month). >>>> >>>> (the other test failures are for clipboard / network issues) >>>> >>>> >>>> >>> >>> Thanks for the feedback. >>> >>> <snip> >>> >> >> Looks to me like a fair number of the other test failures are actually >> bugs in the tests, or could be argued to be so. > > > Or rather, actual bugs, but not in numpy. I can see this will take a while > to settle ;)
not really a bug on our side given the old numpy behavior I was surprised about the failure because it still produces the correct result. params[nuis_param_index] = nuisance_params ValueError: shape mismatch: value array of shape (2,) could not be broadcast to indexing result of shape (0,) As far as I have figured out based on Christoph's test failures `nuis_param_index` is array([], dtype=int32) and because numpy didn't assign anything, `nuisance_params` was picked essentially arbitrary along this code path >>> x = np.arange(5.) >>> we_dont_care_what_this_is = np.random.randn(10) >>> x[[]] = we_dont_care_what_this_is >>> x array([ 0., 1., 2., 3., 4.]) Does x[[]] = [] work with numpy 1.9? Josef > > Chuck > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion