Package: python-numpy
Version: 1:1.3.0-3
Severity: normal
I believe I have the same issue.
My test script looks like:
import numpy as np
for ix in range(2, 300):
print ix
m = np.random.random((ix, ix))
(x, v) = np.linalg.eig(m)
print v.shape
Running the above code with python-numpy _and_ libatlas3gf-base installed
generates a glibc memory management error message. Running the same
script with python-numpy installed but _without_ libatlas3gf-base
installed is unproblematic for me.
Both unstable and testing show the same behaviour.
Exactly at what stage in the python program the error appears seems
non-repeatable, but it always appears for the code above.
See also
<http://article.gmane.org/gmane.comp.python.numeric.general/33548/match=>
/ johan
-- System Information:
Debian Release: squeeze/sid
APT prefers testing
APT policy: (900, 'testing'), (600, 'stable')
Architecture: amd64 (x86_64)
Kernel: Linux 2.6.30-2-amd64 (SMP w/2 CPU cores)
Locale: LANG=sv_SE.UTF-8, LC_CTYPE=sv_SE.UTF-8 (charmap=UTF-8)
Shell: /bin/sh linked to /bin/dash
Versions of packages python-numpy depends on:
ii libblas3gf [libblas.so.3gf] 1.2-2 Basic Linear Algebra Subroutines 3
ii libc6 2.9-25 GNU C Library: Shared libraries
ii libgcc1 1:4.4.1-4 GCC support library
ii libgfortran3 4.4.1-4 Runtime library for GNU Fortran ap
ii liblapack3gf [liblapack.so.3g 3.2.1-2 library of linear algebra routines
ii python 2.5.4-2 An interactive high-level object-o
ii python-central 0.6.11 register and build utility for Pyt
python-numpy recommends no packages.
Versions of packages python-numpy suggests:
pn python-nose <none> (no description available)
ii python-numpy-dbg 1:1.3.0-3 Fast array facility to the Python
ii python-numpy-doc 1:1.3.0-3 NumPy documentation
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