Fink project (see http://fink.sourceforge.net/) offers Numeric already linked against Apple's vecLib. Here is the output about that package:
[ibook:~/Installs/IPython] andrea% fink describe numeric-py22 Information about 2973 packages read in 5 seconds.
numeric-py22-23.0-1: Multidim'l numerical arrays for Python, using Apple vecLib Links against optimized Apple vecLib BLAS/LAPACK, instead of using slower, built-in blas and lapack routines. Should now be just as fast as numeric-atlas. . Web site: http://www.pfdubois.com/numpy . Maintainer: Jeffrey Whitaker email@example.com
I think you can ask the maintainer for more information or look at the Fink's installation script if you know how debs system works. Here it is a link to the scripts:
<http://cvs.sourceforge.net/cgi-bin/viewcvs.cgi/fink/dists/10.2/ unstable/main/finkinfo/sci/numeric-py22-23.0-1.info> <http://cvs.sourceforge.net/cgi-bin/viewcvs.cgi/fink/dists/10.2/ unstable/main/finkinfo/sci/numeric-py22-23.0-1.patch>
Hope this help.
On Monday, Sep 15, 2003, at 10:36 Europe/Rome, Jack Jansen wrote:
Folks, I got this report on Numeric as included with MacPython (through the package manager) and it looks promising. But: I'm building Numeric simply by running setup.py, so in order to get the added performance Numeric's setup.py would need to be taught about veclib.
Is anyone willing to look into this?
--- Andrea Riciputi
"Science is like sex: sometimes something useful comes out, but that is not the reason we are doing it" -- (Richard Feynman)