On Wed, Apr 13, 2016 at 1:15 PM, Matthew Brett <matthew.brett@gmail.com> wrote:
Hi,
On Sat, Apr 2, 2016 at 6:11 PM, Matthew Brett <matthew.brett@gmail.com> wrote:
On Fri, Mar 25, 2016 at 6:39 AM, Peter Cock <p.j.a.cock@googlemail.com> wrote:
On Fri, Mar 25, 2016 at 3:02 AM, Robert T. McGibbon < rmcgibbo@gmail.com> wrote:
I suspect that many of the maintainers of major scipy-ecosystem
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
On Tue, Apr 12, 2016 at 7:15 PM, Matthew Brett <matthew.brett@gmail.com> wrote: projects are 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...
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... 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