Thanks I can confirm that the new narrow unicode build wheels of Scipy works as expected for my project. @Oliver Grisel Thanks for finding the Travis issue it's probably worth considering switching the Travis build to 2.7.11 to avoid other similar issues. The old versions of numpy are very handy for downstream testing. I have verified that they work as expected in the Matplotlib tests here: https://github.com/jenshnielsen/matplotlib/tree/travisnowheelhouse where we are testing against numpy 1.6 as the earliest. This branch switches matplotlib from the scikit image wheelhouse to manylinux wheels which seems to work great. best Jens On Wed, 20 Apr 2016 at 09:59 Olivier Grisel <olivier.grisel@ensta.org> wrote:
Thanks,
I think next we could upgrade the travis configuration of numpy and scipy to build and upload manylinux1 wheels to http://travis-dev-wheels.scipy.org/ for downstream project to test against the master branch of numpy and scipy whithout having to build those from source.
However that would require publishing an official pre-built libopenblas.so (+headers) archive or RPM package. That archive would server as the reference libary to build scipy stack manylinux1 wheels. -- Olivier _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion