I have atlas-lapack-base installed via pacman (required by sagemath). Since the numpy installation insisted on openblas on /usr/local, I got the openblas source-code and installed it on /usr/local. BTW, I use 1.11b rather then 1.10.x since the 1.10 is very slow in handling recarrays. For the tests I am erasing the 1.11 installation, and installing the 1.10.4 wheel. I do verify that I have the right version before running the tests, but I am not sure if there no unnoticed side effects.
Would it help if I put a side the openblas installation and rerun the test? Nadav ________________________________________ From: NumPy-Discussion <numpy-discussion-boun...@scipy.org> on behalf of Matthew Brett <matthew.br...@gmail.com> Sent: 08 February 2016 08:13 To: Discussion of Numerical Python Subject: Re: [Numpy-discussion] Multi-distribution Linux wheels - please test On Sun, Feb 7, 2016 at 10:09 PM, Nadav Horesh <nad...@visionsense.com> wrote: > Thank you fo reminding me, it is OK now: > $ python -c 'import numpy; print(numpy.__config__.show())' > > lapack_opt_info: > library_dirs = ['/usr/local/lib'] > language = c > libraries = ['openblas'] > define_macros = [('HAVE_CBLAS', None)] > blas_mkl_info: > NOT AVAILABLE > openblas_info: > library_dirs = ['/usr/local/lib'] > language = c > libraries = ['openblas'] > define_macros = [('HAVE_CBLAS', None)] > openblas_lapack_info: > library_dirs = ['/usr/local/lib'] > language = c > libraries = ['openblas'] > define_macros = [('HAVE_CBLAS', None)] > blas_opt_info: > library_dirs = ['/usr/local/lib'] > language = c > libraries = ['openblas'] > define_macros = [('HAVE_CBLAS', None)] > None > > I updated openblas to the latest version (0.2.15) and it pass the tests Oh dear - now I'm confused. So you installed the wheel, and tested it, and it gave a test failure. Then you updated openblas using pacman, and then reran the tests against the wheel numpy, and they passed? That's a bit frightening - the wheel should only see its own copy of openblas... Thans for persisting, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion