[Numpy-discussion] ANN: NumPy 1.9.0 beta release

[Jeff Reback]

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)




On Mon, Jun 9, 2014 at 7:21 PM, Christoph Gohlke <cgohlke at uci.edu> wrote:

> On 6/8/2014 1:34 PM, Julian Taylor wrote:
>
>> Hello,
>>
>> I'm happy to announce the fist beta release of Numpy 1.9.0.
>> 1.9.0 will be a new feature release supporting Python 2.6 - 2.7 and 3.2
>> - 3.4.
>> Due to low demand windows binaries for the beta are only available for
>> Python 2.7, 3.3 and 3.4.
>> Please try it and report any issues to the numpy-discussion mailing list
>> or on github.
>>
>> The 1.9 release will consists of mainly of many small improvements and
>> bugfixes. The highlights are:
>>
>> * Addition of __numpy_ufunc__ to allow overriding ufuncs in ndarray
>> subclasses. Please note that there are still some known issues with this
>> mechanism which we hope to resolve before the final release (e.g. #4753)
>> * Numerous performance improvements in various areas, most notably
>> indexing and operations on small arrays are significantly faster.
>> Indexing operations now also release the GIL.
>> * Addition of nanmedian and nanpercentile rounds out the nanfunction set.
>>
>> The changes involve a lot of small changes that might affect some
>> applications, please read the release notes for the full details on all
>> changes:
>> https://github.com/numpy/numpy/blob/maintenance/1.9.x/
>> doc/release/1.9.0-notes.rst
>> Please also take special note of the future changes section which will
>> apply to the following release 1.10.0 and make sure to check if your
>> applications would be affected by them.
>>
>> Source tarballs, windows installers and release notes can be found at
>> https://sourceforge.net/projects/numpy/files/NumPy/1.9.0b1
>>
>> Cheers,
>> Julian Taylor
>>
>>
> Hello,
>
> I tested numpy-MKL-1.9.0b1 (msvc9, Intel MKL build) on win-amd64-py2.7
> against a few other packages that were built against numpy-MKL-1.8.x.
>
> While numpy and scipy pass all tests, some other packages (matplotlib,
> statsmodels, skimage, pandas, pytables, sklearn...) show a few new test
> failures (compared to testing with numpy-MKL-1.8.1). Many test errors are
> of kind:
>
>     ValueError: shape mismatch: value array of shape (24,) could not be
> broadcast to indexing result of shape (8,3)
>
> I have attached a list of failing tests. The full test results are at <
> http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20140609-win-amd64-py2.7-
> numpy-1.9.0b1/> (compare to <http://www.lfd.uci.edu/~
> gohlke/pythonlibs/tests/20140609-win-amd64-py2.7/>)
>
> I have not investigated any further...
>
> Christoph
>
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>
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