[Numpy-discussion] linux wheels coming soon

Matthew Brett matthew.brett at gmail.com
Tue Apr 12 22:15:19 EDT 2016


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:


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.



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