[Numpy-discussion] NumPy 1.11.0b3 released.

[josef.pktd at gmail.com]

On Mon, Feb 15, 2016 at 11:05 PM, Charles R Harris <
charlesr.harris at gmail.com> wrote:

>
>
> On Mon, Feb 15, 2016 at 8:50 PM, <josef.pktd at gmail.com> wrote:
>
>>
>>
>> On Mon, Feb 15, 2016 at 10:46 PM, <josef.pktd at gmail.com> wrote:
>>
>>
>>>
>>> On Fri, Feb 12, 2016 at 4:19 PM, Nathan Goldbaum <nathan12343 at gmail.com>
>>> wrote:
>>>
>>>> https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst
>>>>
>>>> On Fri, Feb 12, 2016 at 3:17 PM, Andreas Mueller <t3kcit at gmail.com>
>>>> wrote:
>>>>
>>>>> Hi.
>>>>> Where can I find the changelog?
>>>>> It would be good for us to know which changes are done one purpos
>>>>> without hunting through the issue tracker.
>>>>>
>>>>> Thanks,
>>>>> Andy
>>>>>
>>>>>
>>>>> On 02/09/2016 09:09 PM, Charles R Harris wrote:
>>>>>
>>>>> Hi All,
>>>>>
>>>>> I'm pleased to announce the release of NumPy 1.11.0b3. This beta
>>>>> contains additional bug fixes as well as limiting the number of
>>>>> FutureWarnings raised by assignment to masked array slices. One issue that
>>>>> remains to be decided is whether or not to postpone raising an error for
>>>>> floats used as indexes. Sources may be found on Sourceforge
>>>>> <https://sourceforge.net/projects/numpy/files/NumPy/1.11.0b3/> and
>>>>> both sources and OS X wheels are availble on pypi. Please test, hopefully
>>>>> this will be that last beta needed.
>>>>>
>>>>> As a note on problems encountered, twine uploads continue to fail for
>>>>> me, but there are still variations to try. The wheeluploader downloaded
>>>>> wheels as it should, but could not upload them, giving the error message
>>>>> "HTTPError: 413 Client Error: Request Entity Too Large for url:
>>>>> <https://www.python.org/pypi>https://www.python.org/pypi". Firefox
>>>>> also complains that http://wheels.scipy.org is incorrectly configured
>>>>> with an invalid certificate.
>>>>>
>>>>> Enjoy,
>>>>>
>>>>> Chuck
>>>>>
>>>>>
>>>>> _______________________________________________
>>>>> NumPy-Discussion mailing listNumPy-Discussion at scipy.orghttps://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>>>
>>>>>
>>>>>
>>>>> _______________________________________________
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>>>>>
>>>>
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>>>
>> (try to send again)
>>
>>
>>>
>>> another indexing question:  (not covered by unit test but showed up in
>>> examples in statsmodels)
>>>
>>>
>>> This works in numpy at least 1.9.2 and 1.6.1   (python 2.7, and python
>>> 3.4)
>>>
>>> >>> list(range(5))[np.array([0])]
>>> 0
>>>
>>>
>>>
>>> on numpy 0.11.0b2   (I'm not yet at b3)   (python 3.4)
>>>
>>> I get the same exception as here but even if there is just one element
>>>
>>>
>>> >>> list(range(5))[np.array([0, 1])]
>>> Traceback (most recent call last):
>>>   File "<pyshell#7>", line 1, in <module>
>>>     list(range(5))[np.array([0, 1])]
>>> TypeError: only integer arrays with one element can be converted to an
>>> index
>>>
>>
> Looks like a misleading error message. Apparently it requires scalar
> arrays (ndim == 0)
>
> In [3]: list(range(5))[np.array(0)]
> Out[3]: 0
>


We have a newer version of essentially same function a second time that
uses squeeze and that seems to work fine.

Just to understand

Why does this depend on the numpy version?  I would have understood that
this always failed, but this code worked for several years.
https://github.com/statsmodels/statsmodels/issues/2817

Josef




>
> Chuck
>
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