On Mon, Jun 9, 2014 at 8:49 PM, Charles R Harris <charlesr.harris@gmail.com> wrote:
On Mon, Jun 9, 2014 at 6:47 PM, Charles R Harris <charlesr.harris@gmail.com> wrote:
On Mon, Jun 9, 2014 at 6:23 PM, Charles R Harris <charlesr.harris@gmail.com> wrote:
On Mon, Jun 9, 2014 at 6:21 PM, Jeff Reback <jeffreback@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
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