Source: cfflib
Section: python
Priority: extra
Maintainer: Stephan Gerhard <debian@unidesign.ch>
Build-Depends: debhelper (>= 7.2.18), python-all, python-support,
			   python-numpy,
			   python-sphinx,
			   python-nose,
			   python-networkx (>= 1.4),
			   python-nibabel (>= 1.1.0)
Standards-Version: 3.9.2
Homepage: http://cmtk.org/cfflib
Vcs-Git: git://github.com/LTS5/cfflib.git
Vcs-Browser: http://github.com/LTS5/cfflib

Package: python-cfflib
Architecture: all
Depends: ${python:Depends}, ${misc:Depends},
		python-lxml,
		python-numpy,
		python-networkx (>= 1.4),
		python-nibabel (>= 1.1.0),
Recommends: python-nose,
			python-sphinx,
			python-tables,
			python-h5py
Provides: ${python:Provides}
Description: Multi-modal connectome and metadata management and integration
 The Connectome File Format Library (cfflib) is a Python module for
 multi-modal neuroimaging connectome data and metadata management and
 integration.
 .
 It enables single subject and multi-subject data integration for a
 variety of modalities, such as networks, surfaces, volumes, fiber
 tracks, timeseries, scripts, arbitrary data objects such as
 homogeneous arrays or CSV/JSON files. It relies on existing Python
 modules and the standard library for basic data I/O, and adds a layer
 of metadata annotation as tags or with structured properties to
 individual data objects.
