[Python-modules-team] Bug#525109: python-scipy: sparse (dok) matrix assignment bug

[Johan Grönqvist]

Package: python-scipy
Version: 0.7.0-1
Severity: normal

The three line program:

from scipy import sparse
arr = sparse.dok_matrix((1, 1))
arr[0, 0] = 0

fails with a KeyError.

This is fixed in scipy svn, so the next release should fix the bug automatically.
The fix in svn is a change to the definition of __setitem__ in scipy/sparse/dok.py

if value==0:

should be changed to 

if value==0 and self.has_key((i,j)):

but waiting for the next release will solve it automatically.

Thanks

/ johan



-- System Information:
Debian Release: 5.0.1
  APT prefers stable
  APT policy: (950, 'stable'), (900, 'testing'), (500, 'unstable'), (90, 'experimental')
Architecture: amd64 (x86_64)

Kernel: Linux 2.6.29-1-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/bash

Versions of packages python-scipy depends on:
ii  libatlas3gf-base [liblapack. 3.6.0-22    Automatically Tuned Linear Algebra
ii  libblas3gf [libblas.so.3gf]  1.2-2       Basic Linear Algebra Subroutines 3
ii  libc6                        2.9-4       GNU C Library: Shared libraries
ii  libgcc1                      1:4.3.2-1.1 GCC support library
ii  libgfortran3                 4.3.2-1.1   Runtime library for GNU Fortran ap
ii  liblapack3gf [liblapack.so.3 3.1.1-1     library of linear algebra routines
ii  libstdc++6                   4.3.2-1.1   The GNU Standard C++ Library v3
ii  libsuitesparse-3.2.0         1:3.2.0-4   collection of libraries for comput
ii  python                       2.5.2-3     An interactive high-level object-o
ii  python-central               0.6.11      register and build utility for Pyt
ii  python-numpy                 1:1.2.1-1   Numerical Python adds a fast array

Versions of packages python-scipy recommends:
ii  g++ [c++-compiler]            4:4.3.2-2  The GNU C++ compiler
ii  g++-4.3 [c++-compiler]        4.3.2-1.1  The GNU C++ compiler

Versions of packages python-scipy suggests:
pn  python-profiler               <none>     (no description available)

-- no debconf information