Source: python-networkx
Section: python
Priority: optional
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
XSBC-Original-Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Uploaders: Sandro Tosi <morph@debian.org>
Build-Depends: debhelper (>= 7.0.50~)
Build-Depends-Indep: python-all (>= 2.6.6-3~), python3-all, dh-python, python-setuptools (>= 0.6a9), python-nose (>= 0.10.1), python-sphinx (>= 1.0.7+dfsg), zip, python-numpy, python3-setuptools, python3-nose
Standards-Version: 3.9.3
XS-Python-Version: >= 2.6
X-Python3-Version: >= 3.2
Homepage: http://networkx.lanl.gov/
Vcs-Svn: svn://svn.debian.org/python-modules/packages/python-networkx/trunk/
Vcs-Browser: http://svn.debian.org/viewsvn/python-modules/packages/python-networkx/trunk/

Package: python-networkx
Architecture: all
Depends: ${misc:Depends}, ${python:Depends}
Suggests: python-numpy, python-scipy, python-pydot, python-pkg-resources, python-yaml
Description: tool to create, manipulate and study complex networks
 NetworkX is a Python-based package for the creation, manipulation, and
 study of the structure, dynamics, and functions of complex networks.
 .
 The structure of a graph or network is encoded in the edges (connections,
 links, ties, arcs, bonds) between nodes (vertices, sites, actors). If
 unqualified, by graph it's meant a simple undirected graph, i.e. no
 self-loops and no multiple edges are allowed. By a network it's usually
 meant a graph with weights (fields, properties) on nodes and/or edges.
 .
 The potential audience for NetworkX includes: mathematicians, physicists,
 biologists, computer scientists, social scientists.

Package: python3-networkx
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}
Suggests: python3-numpy, python3-scipy, python3-pkg-resources, python3-yaml
#Recommends: python-pygraphviz | python-pydot, python-matplotlib
Description: tool to create, manipulate and study complex networks (Python3)
 NetworkX is a Python-based package for the creation, manipulation, and
 study of the structure, dynamics, and functions of complex networks.
 .
 The structure of a graph or network is encoded in the edges (connections,
 links, ties, arcs, bonds) between nodes (vertices, sites, actors). If
 unqualified, by graph it's meant a simple undirected graph, i.e. no
 self-loops and no multiple edges are allowed. By a network it's usually
 meant a graph with weights (fields, properties) on nodes and/or edges.
 .
 The potential audience for NetworkX includes: mathematicians, physicists,
 biologists, computer scientists, social scientists.
 .
 This package contains the Python 3 version of NetworkX.

Package: python-networkx-doc
Section: doc
Architecture: all
Depends: ${misc:Depends}, ${sphinxdoc:Depends}
Description: tool to create, manipulate and study complex networks - documentation
 NetworkX is a Python-based package for the creation, manipulation, and
 study of the structure, dynamics, and functions of complex networks.
 .
 The structure of a graph or network is encoded in the edges (connections,
 links, ties, arcs, bonds) between nodes (vertices, sites, actors). If
 unqualified, by graph it's meant a simple undirected graph, i.e. no
 self-loops and no multiple edges are allowed. By a network it's usually
 meant a graph with weights (fields, properties) on nodes and/or edges.
 .
 The potential audience for NetworkX includes: mathematicians, physicists,
 biologists, computer scientists, social scientists.
 .
 This package contains documentation for NetworkX.
