[Python-modules-team] Bug#544274: architecture dependent bug?

Ruben Salvador lalocadelarusa at gmail.com
Thu Feb 4 14:10:40 UTC 2010


Package: python-numpy
Severity: normal

Hi there,

I have just run numpy.test() from within ipython and it works properly. Maybe it's just a matter or architecure. I am running Debian Testing 32 bits on a 32 bit computer....and I remember perfectly this same issue in my 64 bit laptop running Debian 64 bits.

Hope this helps...

In [10]: numpy.test()
..................................................................................SSSSSSSS..........................................................................................................................................................................................................................................................SSS..................................................................................................................................................................................................................K.......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
----------------------------------------------------------------------
Ran 2016 tests in 13.109s

OK (KNOWNFAIL=1, SKIP=11)
Running unit tests for numpy
NumPy version 1.3.0
NumPy is installed in /usr/lib/python2.5/site-packages/numpy
Python version 2.5.4 (r254:67916, Jan 24 2010, 12:18:00) [GCC 4.4.3]
nose version 0.11.1
Out[10]: <nose.result.TextTestResult run=2016 errors=0 failures=0>



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

Kernel: Linux 2.6.30-2-686 (SMP w/1 CPU core)
Locale: LANG=es_ES.UTF-8, LC_CTYPE=es_ES.UTF-8 (charmap=UTF-8)
Shell: /bin/sh linked to /bin/dash

Versions of packages python-numpy depends on:
ii  libatlas3gf-base [liblapack. 3.6.0-24    Automatically Tuned Linear Algebra
ii  libblas3gf [libblas.so.3gf]  1.2-2       Basic Linear Algebra Subroutines 3
ii  libc6                        2.10.2-2    GNU C Library: Shared libraries
ii  libgcc1                      1:4.4.2-9   GCC support library
ii  libgfortran3                 4.4.2-9     Runtime library for GNU Fortran ap
ii  liblapack3gf [liblapack.so.3 3.2.1-2     library of linear algebra routines
ii  python                       2.5.4-9     An interactive high-level object-o
ii  python-central               0.6.14+nmu2 register and build utility for Pyt

python-numpy recommends no packages.

Versions of packages python-numpy suggests:
ii  python-nose                 0.11.1-1     test discovery and running for Pyt
ii  python-numpy-dbg            1:1.3.0-3+b1 Fast array facility to the Python 
ii  python-numpy-doc            1:1.3.0-3    NumPy documentation

-- no debconf information





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