On Mon, Sep 16, 2013 at 2:45 AM, <josef.p...@gmail.com> wrote:

> On Sun, Sep 15, 2013 at 9:04 PM, Charles R Harris
> <charlesr.har...@gmail.com> wrote:
> > Hi All,
> >
> > Numpy 1.8 is about ready for an rc1, which brings up the question of
> which
> > binary builds so put up on sourceforge. For Windows maybe
> >
> > 32 bit windows, python 2.6, 2.7, 3.2, 3.3, compiled with MSVC
> > 64 bit windows, python 2.6, 2.7, 3.2, 3.3, compiled with MSVC, linked
> with
> > MKL
>
> Are we not running into problems with scipy?
> scipy would need to use the same libraries, AFAIU (given Fortran and
> maybe C compatibilities)
>

Indeed. If numpy goes MSVC + MKL, then scipy should go the same way. Some
other options to go to MinGW 4.x are being discussed on
https://github.com/scipy/scipy/issues/2829.


>
> Josef
>
> >
> > I think these should be good for both windows 7 and window 8, correct me
> if
> > I am wrong. For Mac there is first the question of OS X versions,
> (10.5?),
> > 10.6, 10.7, 10.8. I don't know if some builds work on more than one OS X
> > version. The 10.5 version is a bit harder to come by than 10.6 and up. It
> > looks like 10.9 is coming up, but it isn't out yet. I have no idea what
> > Python version to match up these, but assuming all of them, then
> >
> > OS X 10.6  python 2.6, 2.7, 3.2, 3.3, compiled with native compiler,
> linked
> > with Accelerate.
> > OS X 10.7  python 2.6, 2.7, 3.2, 3.3, compiled with native compiler,
> linked
> > with Accelerate.
> > OS X 10.8  python 2.6, 2.7, 3.2, 3.3, compiled with native compiler,
> linked
> > with Accelerate.
> >
> > That seems like a lot. It is fairly easy to compile from source on the
> mac
> > these days, are all those binary packages really needed?
>

That's not exactly the right list - the same installers built on 10.6 also
work on 10.7 and 10.8.


> >
> > I don't know what I am doing with the binary stuff, so any suggestions
> are
> > welcome.
> >
> > For building it is possible to set up a Macintosh with vmware fusion to
> > handle all of these, but there is time and money involved in that. Any
> one
> > who is already capable of doing some of these builds is welcome to
> > volunteer.
>

I can do the OS X builds if needed. Let's focus on the Windows builds
first, those are much more of a problem.

Ralf



> Note, Intel has offered MKL licenses to the open source projects
> > under the NumFocus umbrella, but I don't know of anyone who has taken
> > advantage of that yet or how much time it will take to go through the
> > undoubtedly needed paper work, but I would like to get some of those
> > licenses and move to MSVC so that we can stop rolling around gasping in
> pain
> > whenever it comes to window builds. Then there is Fortran for windows...
> >
> > Thoughts?
> >
> > Chuck
> >
> >
> > _______________________________________________
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> > NumPy-Discussion@scipy.org
> > http://mail.scipy.org/mailman/listinfo/numpy-discussion
> >
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