Hi, On Sat, Apr 2, 2016 at 6:11 PM, Matthew Brett <matthew.br...@gmail.com> wrote: > On Fri, Mar 25, 2016 at 6:39 AM, Peter Cock <p.j.a.c...@googlemail.com> wrote: >> On Fri, Mar 25, 2016 at 3:02 AM, Robert T. McGibbon <rmcgi...@gmail.com> >> wrote: >>> I suspect that many of the maintainers of major scipy-ecosystem projects are >>> aware of these (or other similar) travis wheel caches, but would guess that >>> the pool of travis-ci python users who weren't aware of these wheel caches >>> is much much larger. So there will still be a lot of travis-ci clock cycles >>> saved by manylinux wheels. >>> >>> -Robert >> >> Yes exactly. Availability of NumPy Linux wheels on PyPI is definitely >> something >> I would suggest adding to the release notes. Hopefully this will help trigger >> a general availability of wheels in the numpy-ecosystem :) >> >> In the case of Travis CI, their VM images for Python already have a version >> of NumPy installed, but having the latest version of NumPy and SciPy etc >> available as Linux wheels would be very nice. > > We're very nearly there now. > > The latest versions of numpy, scipy, scikit-image, pandas, numexpr, > statsmodels wheels for testing at > http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com/ > > Please do test with: > > python -m pip install --upgrade pip > > pip install > --trusted-host=ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com > --find-links=http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com > numpy scipy scikit-learn numexpr > > python -c 'import numpy; numpy.test("full")' > python -c 'import scipy; scipy.test("full")' > > We would love to get any feedback as to whether these work on your machines.
I've just rebuilt these wheels with the just-released OpenBLAS 0.2.18. OpenBLAS is now passing all its own tests and tests on numpy / scipy / scikit-learn at http://build.openblas.net/builders Our tests of the wheels look good too: http://nipy.bic.berkeley.edu/builders/manylinux-2.7-debian http://nipy.bic.berkeley.edu/builders/manylinux-2.7-debian https://travis-ci.org/matthew-brett/manylinux-testing So I think these are ready to go. I propose uploading these wheels for numpy and scipy to pypi tomorrow unless anyone has an objection. Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion