[Numpy-discussion] Multi-distribution Linux wheels - please test

[Nadav Horesh]

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-bounces at scipy.org> on behalf of Matthew Brett <matthew.brett at 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 <nadavh at 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
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