[Numpy-discussion] ANN: NumPy 1.9.0 beta release

[josef.pktd at gmail.com]

On Mon, Jun 9, 2014 at 11:10 PM,  <josef.pktd at gmail.com> wrote:
> On Mon, Jun 9, 2014 at 8:49 PM, Charles R Harris
> <charlesr.harris at gmail.com> wrote:
>>
>>
>>
>> On Mon, Jun 9, 2014 at 6:47 PM, Charles R Harris <charlesr.harris at gmail.com>
>> wrote:
>>>
>>>
>>>
>>>
>>> On Mon, Jun 9, 2014 at 6:23 PM, Charles R Harris
>>> <charlesr.harris at gmail.com> wrote:
>>>>
>>>>
>>>>
>>>>
>>>> On Mon, Jun 9, 2014 at 6:21 PM, Jeff Reback <jeffreback at 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

forgot to define: our side = statsmodels

> 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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