[Python-modules-team] Bug#464784: python-numpy: After transition to gfortran _dotblas.so is lost

[otizonaizit at yahoo.com]

Package: python-numpy
Version: 1:1.0.4-6
Followup-For: Bug #464784

After transition to gfortran it appears that the matrix
multiplication function (numpy.dot) is now linked to the slow
version in numpy/core/multiarray.so instead of being linked to the
faster ATLAS version (in previous package version available under
numpy/core/_dotblas.so). Another side effect of the transition is
that ATLAS libraries are not found by
/usr/lib/python2.4/site-packages/numpy/distutils/system_info.py
which makes it impossible to compile extension modules linking to
ATLAS and LAPACK with f2py. ld seems to be configured correctly,
here is my /etc/ld.so.conf:

include /etc/ld.so.conf.d/*.conf

and my /etc/ld.so.conf.d/atlas.conf:
/usr/lib/sse2/atlas
/usr/lib/sse2
/usr/lib/atlas

let me know if you need further information to help in debugging!

keep up with the excellent work,

tiziano


-- System Information:
Debian Release: lenny/sid
  APT prefers unstable
  APT policy: (500, 'unstable')
Architecture: i386 (i686)

Kernel: Linux 2.6.24-1-686 (SMP w/2 CPU cores)
Locale: LANG=en_US.ISO-8859-15, LC_CTYPE=en_US.ISO-8859-15 (charmap=ISO-8859-15)
Shell: /bin/sh linked to /bin/bash

Versions of packages python-numpy depends on:
ii  libatlas3gf-base [libla 3.6.0-21.3       Automatically Tuned Linear Algebra
ii  libatlas3gf-sse2 [libla 3.6.0-21.3       Automatically Tuned Linear Algebra
ii  libblas3gf [libblas.so. 1.2-1.5          Basic Linear Algebra Subroutines 3
ii  libc6                   2.7-8            GNU C Library: Shared libraries
ii  libgcc1                 1:4.3-20080219-1 GCC support library
ii  libgfortran3            4.3-20080219-1   Runtime library for GNU Fortran ap
ii  liblapack3gf [liblapack 3.1.1-0.4        library of linear algebra routines
ii  python                  2.4.4-6          An interactive high-level object-o
ii  python-central          0.5.15-0.1       register and build utility for Pyt

python-numpy recommends no packages.

-- no debconf information