Source: nipy
Standards-Version: 4.7.4
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders:
 Étienne Mollier <emollier@debian.org>,
Section: python
Testsuite: autopkgtest-pkg-pybuild
Build-Depends:
 debhelper-compat (= 13),
 dh-sequence-python3,
 pybuild-plugin-pyproject,
 python3-all-dev,
 python3-setuptools,
 python3-scipy,
 python3-numpy,
 python3-matplotlib,
 python3-mesonpy,
 python3-sphinx,
 python3-ipython,
 python3-texext,
 python3-transforms3d <!nocheck>,
 python3-numpydoc,
 python3-nibabel,
 python3-pytest,
 python3-sympy,
 liblapack-dev | liblapack.so,
 libblas-dev | libblas.so,
 cython3,
 graphviz,
 dvipng,
 help2man,
 python3-numpy-dev,
Vcs-Browser: https://salsa.debian.org/med-team/nipy
Vcs-Git: https://salsa.debian.org/med-team/nipy.git
Homepage: https://nipy.org/nipy/

Package: python3-nipy
Architecture: all
Depends:
 ${shlibs:Depends},
 ${misc:Depends},
 ${python3:Depends},
 python3-scipy,
 python3-numpy,
 python3-nibabel,
 python3-nipy-lib (>= ${source:Version}),
Recommends:
 python3-matplotlib,
 mayavi2,
 python3-sympy,
Suggests:
 python3-mvpa,
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: python3-nipy-lib
Architecture: any
Multi-Arch: same
Depends:
 ${shlibs:Depends},
 ${misc:Depends},
 ${python3:Depends},
Description: Analysis of structural and functional neuroimaging data (compiled modules)
 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-doc
Architecture: all
Multi-Arch: foreign
Section: doc
Depends:
 libjs-mathjax,
 ${misc:Depends},
 ${sphinxdoc:Depends},
Recommends:
 python3-nipy,
Built-Using:
 ${sphinxdoc:Built-Using},
Description: documentation and examples for NiPy
 This package contains NiPy documentation in various formats (HTML,
 TXT) including
  * User manual
  * Developer guidelines
  * API documentation
