Source: nilearn
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
X-Original-Maintainer: NeuroDebian Team <team@neuro.debian.net>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>,
           Michael Hanke <mih@debian.org>
Section: python
Priority: extra
Build-Depends: debhelper (>= 9~),
               python-all,
               dh-python,
               python-setuptools,
               python-numpy (>= 1:1.6),
               python-scipy (>= 0.9),
               python-sklearn (>= 0.12.1),
               python-matplotlib (>= 1.1.1),
               python-nibabel (>= 1.1.0),
               python-nose (>= 1.2.1),
               python-coverage (>= 3.6),
               python3-all,
               python3-setuptools,
               python3-numpy (>= 1:1.6),
               python3-scipy (>= 0.9),
               python3-sklearn (>= 0.12.1),
               python3-matplotlib (>= 1.1.1),
               python3-nibabel (>= 1.1.0),
               python3-nose (>= 1.2.1),
               python3-coverage (>= 3.6),
Standards-Version: 3.9.6
Vcs-Browser: https://anonscm.debian.org/cgit/pkg-exppsy/nilearn.git
Vcs-Git: git://anonscm.debian.org/pkg-exppsy/nilearn.git
Homepage: https://nilearn.github.io
X-Python-Version: >= 2.6
X-Python3-Version: >= 3.2

Package: python-nilearn
Architecture: all
Depends: neurodebian-popularity-contest, ${misc:Depends},
         ${python:Depends},
         python-numpy (>= 1:1.6),
         python-scipy (>= 0.9),
         python-sklearn (>= 0.12.1),
         python-nibabel (>= 1.1.0)
Recommends: python-matplotlib
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: fast and easy statistical learning on neuroimaging data (Python 2)
 This Python module leverages the scikit-learn toolbox for multivariate
 statistics with applications such as predictive modelling, classification,
 decoding, or connectivity analysis.
 .
 This package provides the Python 2 version.

Package: python3-nilearn
Architecture: all
Depends: neurodebian-popularity-contest, ${misc:Depends}, ${python3:Depends},
         python3-numpy (>= 1:1.6),
         python3-scipy (>= 0.9),
         python3-sklearn (>= 0.12.1),
         python3-nibabel (>= 1.1.0)
Recommends: python-matplotlib
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: fast and easy statistical learning on neuroimaging data (Python 3)
 This Python module leverages the scikit-learn toolbox for multivariate
 statistics with applications such as predictive modelling, classification,
 decoding, or connectivity analysis.
 .
 This package provides the Python 3 version.


