All tests for the 64bit builds passed. Carl
2015-01-23 0:11 GMT+01:00 Sturla Molden <[email protected]>: > Were there any failures with the 64 bit build, or did all tests pass? > > Sturla > > > On 22/01/15 22:29, 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 on > > https://bitbucket.org/carlkl/mingw-w64-for-python/downloads as well as > > on binstar.org <http://binstar.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 at > > https://bitbucket.org/carlkl/mingw-w64-for-python/downloads. > > > > > > > > _______________________________________________ > > NumPy-Discussion mailing list > > [email protected] > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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