[Numpy-discussion] NumPy 1.11.0b3 released.

Charles R Harris charlesr.harris at gmail.com
Mon Feb 15 23:05:54 EST 2016


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
>>>>
>>>>
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>>>>
>>>>
>>>>
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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

Chuck
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