[Numpy-discussion] ANN: NumPy 1.9.0 beta 2 release

[Carl Kleffner]

Hi,

I created mingw-w64 builds for testing based on OpenBLAS, see:
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads .

gists for numpy.test run:

win32: https://gist.github.com/carlkl/43182c7c5e0049db7b4e
amd64: https://gist.github.com/carlkl/c528505af31ac32720b0

Regards,

Carl


2014-07-30 22:20 GMT+02:00 Julian Taylor <jtaylor.debian at googlemail.com>:

> Hello,
>
> The source packages and binaries got numpy 1.9.0 beta 2 have just been
> uploaded to sourceforge.
> https://sourceforge.net/projects/numpy/files/NumPy/1.9.0b2
>
> 1.9.0 will be a new feature release supporting Python 2.6 - 2.7 and 3.2
> - 3.4.
>
> Unfortunately we have disabled the new __numpy_ufunc__ feature for
> overriding ufuncs in subclasses for now. There are still some unresolved
> issues with its behavior regarding python operator precedence and
> subclasses.
> If you have a stake in the issue please read Pauli's summary of the
> remaining issues:
> http://mail.scipy.org/pipermail/numpy-discussion/2014-July/070737.html
>
> When the issues are resolved to everyones satisfaction we hope to enable
> the feature for 1.10 in its final form.
>
> We have restored the indexing edge case that broke matplotlib with numpy
> 1.9.0 beta 1 but some of the other test failures in other packages are
> deemed bugs in their code and not reasonable to support in numpy
> anymore. Most projects have fixed the issues in their latest stable or
> development versions. Depending on how bad the broken functionality is
> you may need to update your third party packages when updating numpy to
> 1.9.0b2.
>
> An attempt was made to update the windows binary toolchain to the latest
> mingw/mingw64 version and an up to date ATLAS version but this turned up
> a few ugly test failures.
> Help in resolving these issues is appreciated, no core developer has
> Windows debugging experience.
> Please see this issue for details:
> https://github.com/numpy/numpy/issues/4909
>
>
> The changelog is mostly the same as in beta1. Please read it carefully
> there have been many small changes that could affect your code.
>
> 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/1.9.0b2
>
> Cheers,
> Julian Taylor
>
>
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>
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