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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.
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