Source: nilearn
Section: python
Priority: extra
Maintainer: NeuroDebian Team <team@neuro.debian.net>
X-Original-Maintainer: NeuroDebian Team <team@neuro.debian.net>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>, Michael Hanke <mih@debian.org>
Build-Depends: debhelper (>= 9~),
  python-all (>= 2.6.6-3~),
  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,
Standards-Version: 3.9.6
Homepage: https://nilearn.github.io
Vcs-Browser: http://git.debian.org/?p=pkg-exppsy/nilearn.git
Vcs-Git: git://git.debian.org/git/pkg-exppsy/nilearn.git
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
 This Python module leverages the scikit-learn toolbox for multivariate
 statistics with applications such as predictive modelling, classification,
 decoding, or connectivity analysis.

# enable once sklearn has py3 support
#Package: python3-nilearn
#Architecture: all
#Depends: ${misc:Depends}, ${python3: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
# This Python module leverages the scikit-learn toolbox for multivariate
# statistics with applications such as predictive modelling, classification,
# decoding, or connectivity analysis.
