[Numpy-discussion] numpy-1.11.0.dev0 windows wheels compiled with mingwpy available

Robert McGibbon rmcgibbo at gmail.com
Sun Oct 18 21:40:04 EDT 2015


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 <cmkleffner at 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
>
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>
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