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
Cheers,
Matthew
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