Source: pysph
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Section: science
Priority: optional
Build-Depends: cython,
               debhelper (>= 11~),
               mpi-default-dev,
               python-dev,
               python-enthoughtbase,
               python-mako,
               python-mock,
               python-nose,
               python-numpy,
               python-pytest,
               python-pytest-runner,
               python-sphinx,
               python-sphinx-rtd-theme,
               python-traits,
               python-setuptools
Standards-Version: 4.1.4
Vcs-Browser: https://salsa.debian.org/science-team/pysph
Vcs-Git: https://salsa.debian.org/science-team/pysph.git
Homepage: https://github.com/pypr/pysph

Package: python-pysph
Architecture: any
Section: python
Depends: cython,
         build-essential,
         python (<< 2.8),
         python,
         python-dev,
         python-mako,
         python-mock,
         python-nose,
         python-numpy,
         ${misc:Depends},
         ${python:Depends},
         ${shlibs:Depends},
         ${sphinxdoc:Depends}
Recommends: pysph-viewer
Description: open source framework for Smoothed Particle Hydrodynamics
 It is implemented in Python and the performance critical parts are 
 implemented in Cython.
 .
 PySPH is implemented in a way that allows a user to specify the entire 
 SPH simulation in pure Python. High-performance code is generated from 
 this high-level Python code, compiled on the fly and executed. PySPH also 
 features optional automatic parallelization using mpi4py and Zoltan.

Package: pysph-viewer
Architecture: any
Section: python
Depends: python-pysph,
         ${misc:Depends},
         ${python:Depends},
         ${shlibs:Depends}
Recommends: mayavi2
Description: viewer for PySPH - framework for Smoothed Particle Hydrodynamics
 It is implemented in Python and the performance critical parts are 
 implemented in Cython.
 .
 PySPH is implemented in a way that allows a user to specify the entire 
 SPH simulation in pure Python. High-performance code is generated from 
 this high-level Python code, compiled on the fly and executed. PySPH also 
 features optional automatic parallelization using mpi4py and Zoltan. 
 The package contains viewer for PySPH.

Package: pysph-doc
Architecture: all
Section: doc
Depends: libjs-mathjax,
         ${sphinxdoc:Depends},
         ${misc:Depends}
Recommends: python-pysph
Description: documentation and examples for PySPH
 It is implemented in Python and the performance critical parts are 
 implemented in Cython.
 .
 PySPH is implemented in a way that allows a user to specify the entire 
 SPH simulation in pure Python. High-performance code is generated from 
 this high-level Python code, compiled on the fly and executed. PySPH also 
 features optional automatic parallelization using mpi4py and Zoltan. 
 The package contains documentation and examples for PySPH.