On Wed, Apr 13, 2016 at 1:15 PM, Matthew Brett <matthew.br...@gmail.com> wrote:
> On Tue, Apr 12, 2016 at 7:15 PM, Matthew Brett <matthew.br...@gmail.com> > wrote: > > 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. > > Done. If y'all are on linux, and you have pip >= 8.11, you should > now see this kind of thing: > > $ pip install numpy scipy > Collecting numpy > Downloading numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl (15.3MB) > 100% |████████████████████████████████| 15.3MB 61kB/s > Collecting scipy > Downloading scipy-0.17.0-cp27-cp27mu-manylinux1_x86_64.whl (39.5MB) > 100% |████████████████████████████████| 39.5MB 24kB/s > Installing collected packages: numpy, scipy > Successfully installed numpy-1.11.0 scipy-0.17.0 > Great work. It is nice that we are finally getting the Windows thing squared away after all these years. Chuck
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