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 <[email protected]>: > 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 > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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