Hi Matthew, It is my understanding that you have built manylinux1 wheels for the latest numpy and scipy releases at:
https://nipy.bic.berkeley.edu/manylinux Those builds embed openblas but I don't see how to find the version number. Other downstream projects such as scikit-learn might need to run on the same openblas version. How did you build those wheels, do you have travis config somewhere or do you use docker locally? Do you plan to update the travis config script for the matrix entry that generate wheels to generate manylinux1 wheels instead? https://github.com/numpy/numpy/blob/master/.travis.yml#L62 At the moment those dev wheels are uploaded to: http://travis-dev-wheels.scipy.org/ The goal is to make it possible for downstream projects to test against numpy master on travis but they need to be careful to install atlas as done in numpy's .travis. Using manylinux1 wheels would make it easier to setup CI for dowstream project without having to worry about atlas. Do you plan to generate a clib_openblas wheel in the longer term? This would reduce the size of scipy, pandas and scikit-learn manylinux1 wheels and increase installation speed for users of the scipy stack. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel _______________________________________________ Wheel-builders mailing list [email protected] https://mail.python.org/mailman/listinfo/wheel-builders
