Yes, I build win32 as well as amd64 binaries.
Carlkl 2015-01-22 23:06 GMT+01:00 cjw <c...@ncf.ca>: > Thanks Carl, > > This is good to hear. I presume that the AMD64 is covered. > > Colin W. > > On 22-Jan-15 4:29 PM, Carl Kleffner wrote: > > I took time to create mingw-w64 based wheels of numpy-1.9.1 and > scipy-0.15.1 source distributions and put them > onhttps://bitbucket.org/carlkl/mingw-w64-for-python/downloads as well as > onbinstar.org. The test matrix is python-2.7 and 3.4 for both 32bit and > 64bit. > > Feedback is welcome. > > The wheels can be pip installed with: > > pip install -i https://pypi.binstar.org/carlkl/simple numpy > pip install -i https://pypi.binstar.org/carlkl/simple scipy > > Some technical details: the binaries are build upon OpenBLAS as accelerated > BLAS/Lapack. OpenBLAS itself is build with dynamic kernels (similar to MKL) > and automatic runtime selection depending on the CPU. The minimal requested > feature supplied by the CPU is SSE2. SSE1 and non-SSE CPUs are not > supported with this builds. This is the default for 64bit binaries anyway. > > OpenBLAS is deployed as part of the numpy wheel. That said, the scipy > wheels mentioned above are dependant on the installation of the OpenBLAS > based numpy and won't work i.e. with an installed numpy-MKL. > > For the numpy 32bit builds there are 3 failures for special FP value tests, > due to a bug in mingw-w64 that is still present. All scipy versions show up > 7 failures with some numerical noise, that could be ignored (or corrected > with relaxed asserts in the test code). > > PR's for numpy and scipy are in preparation. The mingw-w64 compiler used > for building can be found > athttps://bitbucket.org/carlkl/mingw-w64-for-python/downloads. > > > > > _______________________________________________ > NumPy-Discussion mailing > listNumPy-Discussion@scipy.orghttp://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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