Source: pysph Maintainer: Debian Science Maintainers Uploaders: Antonio Valentino Section: science Priority: optional Build-Depends: cython3, debhelper-compat (= 12), dh-python, libjs-mathjax, libtrilinos-zoltan-dev, mpi-default-dev, python3-all-dev, python3-beaker, python3-compyle, python3-cyarray, python3-h5py, python3-mako (>= 1.1.0), python3-nose, python3-mpi4py, python3-numpy, python3-pytest, python3-pytest-runner, python3-pytools, python3-setuptools, python3-sphinx, python3-sphinx-rtd-theme, python3-stl, python3-traits, python3-pyzoltan Standards-Version: 4.5.1 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 Rules-Requires-Root: no Package: python3-pysph Architecture: any Section: python Depends: cython3, build-essential, python3, python3-all-dev, python3-beaker, python3-compyle, python3-cyarray, python3-mako (>= 1.1.0), python3-mock, python3-nose, python3-numpy, python3-pytools, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}, ${sphinxdoc:Depends} Recommends: pysph-viewer, python3-mpi4py, python3-pyopencl, python3-pyzoltan, python3-stl Suggests: pysph-doc 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: all Depends: python3-pysph, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends} Recommends: mayavi2, python3-h5py Suggests: pysph-doc 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: python3-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.