On Mon, Jul 7, 2008 at 2:12 PM, Matthias Klose <[EMAIL PROTECTED]> wrote: > Package: python-numpy > Version: 1:1.1.0-2 > Severity: serious > > python-numpy now has an unconditional dependency on libatlas3gf-base, > needing the "specialized" atlas libraries as a runtime > dependency. Users still should have the option to use the standard > blas and lapack libs instead of the untested/unmaintained atlas > libraries in debian.
The problem is that the new (>1.0) numpy building system needs ATLAS at compile time to enable fast matrix-multiplication. If ATLAS is not found at compile time, numpy.core._dotblas.so is not built and slow matrix multiplication is used even if the end user has ATLAS installed. In the old numpy _dotblas.so was always compiled using refblas and the end user would still have had the option of using ATLAS. I'm not sure I understand why ATLAS is now needed at compile time, but look here: http://scipy.org/scipy/numpy/ticket/667 and here: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=464784 I think python-numpy should stay as it is now and a bug-wishlist should be reported to the atlas package to encourage packaging of the new stable version (3.8.2). Filing a ticket on numpy trac may help, but the fate of ticket 667 seems to indicate that there's no will of fixing this bug upstream... thank you, tiziano -- To UNSUBSCRIBE, email to [EMAIL PROTECTED] with a subject of "unsubscribe". Trouble? Contact [EMAIL PROTECTED]
