(This is not relevant to the main topic of the thread, but FYI I think the
recarray issues are fixed in 1.10.4.)
On Feb 7, 2016 11:10 PM, "Nadav Horesh" <nad...@visionsense.com> wrote:
> 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
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