Ubuntu
pysph package

pysph 1.0~b1-5build1 source package in Ubuntu

Changelog

pysph (1.0~b1-5build1) lunar; urgency=medium

  * No-change rebuild with Python 3.11 only

 -- Graham Inggs <email address hidden>  Mon, 13 Mar 2023 10:03:37 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Lunar
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

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File Size SHA-256 Checksum
pysph_1.0~b1.orig.tar.gz 2.9 MiB 8c6ac3f0f62aa428d4b8157396772317ec44f282e89ce03ed2b919684613160d
pysph_1.0~b1-5build1.debian.tar.xz 12.7 KiB e0ffbf1479154c469a93f37ffe91fb86d218647f140cea49254496244a5ebe00
pysph_1.0~b1-5build1.dsc 2.5 KiB 949b8a542223321bf8eb42407273b5bb6ba3c89be03420d1b82b8e814ebb825c

View changes file

Binary packages built by this source

pysph-doc: 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.

pysph-viewer: 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.

python3-pysph: 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.

python3-pysph-dbgsym: debug symbols for python3-pysph