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Source: nipy
Section: python
Priority: extra
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>, Michael Hanke <michael.hanke@gmail.com>
Build-Depends: debhelper (>=9), python-all-dev (>= 2.5),
python-scipy (>= 0.5), python-numpy (>= 1:1.2), python-matplotlib (>= 0.98.3),
python-sphinx (>= 0.6), cython,
python-numpydoc,
python-nibabel, python-nose, python-sympy (>= 0.6.6),
liblapack-dev,
python-all-dbg, python-numpy-dbg, python-scipy-dbg, cython-dbg,
graphviz, dvipng,
help2man,
Standards-Version: 4.1.2
Homepage: http://neuroimaging.scipy.org
Vcs-Browser: https://salsa.debian.org/neurodebian-team/nipy
Vcs-Git: https://salsa.debian.org/neurodebian-team/nipy -b debian
Package: python-nipy
Architecture: all
Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends},
python-scipy, python-numpy (>= 1:1.2),
python-nibabel,
python-nipy-lib (>= ${source:Version}),
Recommends: python-matplotlib,
mayavi2,
python-sympy,
Suggests: python-mvpa
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data. It provides functionality for
- General linear model (GLM) statistical analysis
- Combined slice time correction and motion correction
- General image registration routines with flexible cost functions,
optimizers and re-sampling schemes
- Image segmentation
- Basic visualization of results in 2D and 3D
- Basic time series diagnostics
- Clustering and activation pattern analysis across subjects
- Reproducibility analysis for group studies
Package: python-nipy-lib
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends}
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data.
.
This package provides architecture-dependent builds of the libraries.
Package: python-nipy-lib-dbg
Architecture: any
Section: debug
Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends},
python-nipy-lib (= ${binary:Version})
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data.
.
This package provides debugging symbols for architecture-dependent
builds of the libraries.
Package: python-nipy-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, libjs-jquery, libjs-underscore
Recommends: python-nipy
Description: documentation and examples for NiPy
This package contains NiPy documentation in various formats (HTML,
TXT) including
* User manual
* Developer guidelines
* API documentation
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