[Numpy-discussion] linux wheels coming soon

Nathaniel Smith njs at pobox.com
Wed Apr 13 16:22:53 EDT 2016


Woot! \o/

On Wed, Apr 13, 2016 at 12:15 PM, Matthew Brett <matthew.brett at gmail.com>
wrote:

> On Tue, Apr 12, 2016 at 7:15 PM, Matthew Brett <matthew.brett at gmail.com>
> wrote:
> > Hi,
> >
> > On Sat, Apr 2, 2016 at 6:11 PM, Matthew Brett <matthew.brett at gmail.com>
> wrote:
> >> On Fri, Mar 25, 2016 at 6:39 AM, Peter Cock <p.j.a.cock at googlemail.com>
> wrote:
> >>> On Fri, Mar 25, 2016 at 3:02 AM, Robert T. McGibbon <
> rmcgibbo at 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
>
> Cheers,
>
> Matthew
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>



-- 
Nathaniel J. Smith -- https://vorpus.org <http://vorpus.org>
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