On Dec 13, 2007 12:51 AM, William Stein <[EMAIL PROTECTED]> wrote:

[...]

> So basically, at no point were there any real non-documented bugs
> or problems with numpy or scipy that we fixed.  It was more that
> installing those libraries and all they depend on *from scratch*
> in the context of the constraints imposed by Sage had a steep
> learning curve.  But at the end it wasn't that anything was broken
> in numpy/scipy, so there isn't anything to give back or upstream.
>
> I just hope that Sage somehow ends up increasing the
> number of people who are numpy/scipy users but don't
> have time for much of a learning curve (and who won't use Debian
> or the Enthought Python distribution for whatever reason).

I see, your summary is very clear.  And it makes complete sense: for
Sage, you're trying to do something vastly harder than even a
from-source scipy build, since you are giving your users a  fully
self-contained environment, fortran and all.  And I know that's highly
non-trivial, especially once ATLAS is in the picture.

That Sage builds at all is a near-miracle, given its size and
complexity.  That it pretty much never (that I've tried) fails to do
so, and that it works on so many platforms out of the box, is flat out
incredible.

Having said that, if you ever need a hand, I'm sure people on the
numpy/scipy list would be glad to help. There are quite a few of the
core numpy developers running OSX these days (including both Travis
Oliphant and Robert Kern, who both use MBPros), so they might be able
to give you some useful pointers.

But I'm glad to hear that the problem wasn't lack of help available.
Just one more nasty build nightmare :)

Cheers,

f

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