Hi, Is it possible to test this with py35 as well? For MSVC, py35 requires a new compiler toolchain (VS2015) -- is that something mingwpy/mingw-w64 can handle?
-Robert On Fri, Oct 9, 2015 at 3:29 PM, Carl Kleffner <cmkleff...@gmail.com> wrote: > I made numpy master (numpy-1.11.0.dev0 , > https://github.com/numpy/numpy/commit/0243bce23383ff5e894b99e40df2f8fd806ad79f) > windows binary wheels available for testing. > > Install it with pip: > > > pip install -i https://pypi.anaconda.org/carlkl/simple numpy > > These builds are compiled with OPENBLAS trunk for BLAS/LAPACK support and > the mingwpy compiler toolchain. > > OpenBLAS is deployed within the numpy wheels. To be performant on all > usual CPU architectures OpenBLAS is configured with it's 'dynamic > architecture' and automatic CPU detection. > > This version of numpy fakes long double as double just like the MSVC > builds. > > Some test statistics: > > win32 (32 bit) > numpy-1.11.0.dev0, python-2.6: errors=8, failures=1 > numpy-1.11.0.dev0, python-2.7: errors=8, failures=1 > numpy-1.11.0.dev0, python-3.3: errors=9 > numpy-1.11.0.dev0, python-3.4: errors=9 > > amd64 (64bit) > numpy-1.11.0.dev0, python-2.6: errors=9, failures=6 > numpy-1.11.0.dev0, python-2.7: errors=9, failures=6 > numpy-1.11.0.dev0, python-3.3: errors=10, failures=6 > numpy-1.11.0.dev0, python-3.4: errors=10, failures=6 > > Carl > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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