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nipype 0.5.3-2wheezy2
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Source: nipype
Section: science
Priority: optional
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>, Michael Hanke <michael.hanke@gmail.com>
Build-Depends: cdbs, debhelper (>= 7), python-support (>= 0.6), python (>= 2.6), python-setuptools (>= 0.6),
			   python-sphinx (>= 0.6), python-nose, python-simplejson, python-traits (>= 4.0) | python-traits4,
			   python-scipy, python-matplotlib, python-sympy,
			   python-nibabel (>= 1.0.0~), python-nitime,
			   python-networkx (>= 1.3),
			   python-cfflib,
			   graphviz,
			   ipython,
Build-Conflicts: python-networkx (<=1.0~rc1~)
Standards-Version: 3.9.2
Homepage: http://nipy.sourceforge.net/nipype/
Vcs-Git: git://git.debian.org/git/pkg-exppsy/nipype.git
Vcs-Browser: http://git.debian.org/?p=pkg-exppsy/nipype.git


Package: python-nipype
Section: python
Architecture: all
Depends: ${python:Depends}, ${shlibs:Depends}, ${misc:Depends},
		 python-scipy,
		 python-simplejson,
		 python-traits (>= 4.0) | python-traits4,
		 python-nibabel (>= 1.0.0~),
		 python-networkx (>= 1.3),
		 python-cfflib
Recommends: ipython, python-nose, graphviz
Suggests: fsl, afni, python-nipy, slicer, matlab-spm8,
		  python-pyxnat
Provides: ${python:Provides}
Description: Neuroimaging data analysis pipelines in Python
 Nipype interfaces Python to other neuroimaging packages and creates
 an API for specifying a full analysis pipeline in Python.  Currently,
 it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be
 extended for other packages (such as lipsia).


Package: python-nipype-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, libjs-jquery
Suggests: python-nipype
Description: Neuroimaging data analysis pipelines in Python -- documentation
 Nipype interfaces Python to other neuroimaging packages and creates
 an API for specifying a full analysis pipeline in Python.  Currently,
 it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be
 extended for other packages (such as lipsia).
 .
 This package contains Nipype examples and documentation in various formats.