[Numpy-discussion] Default builds of OpenBLAS development branch are now fork safe

[josef.pktd at gmail.com]

On Wed, Mar 26, 2014 at 5:17 PM, Olivier Grisel
<olivier.grisel at ensta.org> wrote:
> My understanding of Carl's effort is that the long term goal is to
> have official windows whl packages for both numpy and scipy published
> on PyPI with a builtin BLAS / LAPACK implementation so that users can
> do `pip install scipy` under windows and get something that just works
> without have to install any compiler (fortran or C) nor any additional
> library manually.
>
> Most windows users are beginners and you cannot really expect them to
> understand how to build the whole scipy stack from source.
>
> The current solution (executable setup installers) is not optimal as
> it requires Administrator rights to run, does not resolve dependencies
> as pip does and cannot be installed in virtualenvs.

as small related point:

The official installers can be used to install in virtualenv
The way I do it:
Run the superpack, official installer, wait until it extracts the
correct (SSE) install exe, then cancel
Then easy_install the install exe file that has been extracted to the
temp folder into the virtualenv.

I don't remember if the extraction already requires admin rights, but
I think not.
easy_install doesn't require any, IIRC.

Josef

>
> If we can build numpy / scipy whl packages for windows with the Atlas
> dlls then fine embedded in the numpy package then good. It does not
> need to be the
> fastest BLAS / LAPACK lib in my opinion. Just something that works.
>
> The problem with ATLAS is that you need to select the number of thread
> at build time AFAIK. But we could set it to a reasonable default (e.g.
> 4 threads) for the default windows package.
>
> --
> Olivier
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