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pysph package

pysph 1.0~b1-8build1 source package in Ubuntu

Changelog

pysph (1.0~b1-8build1) noble; urgency=medium

  * No-change rebuild against libopenmpi3t64

 -- Steve Langasek <email address hidden>  Wed, 13 Mar 2024 18:35:03 +0000

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Uploaded by:
Steve Langasek
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Noble 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~b1-8build1.debian.tar.xz 13.9 KiB b0c0dfb5cb812baee694fc2ec09e8c481170c315942dc632b3634c5400912231
pysph_1.0~b1-8build1.dsc 3.2 KiB 55a3b04db04cb9630367308eb3707aa6444d16299c2002ddaa8545c238737548

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Binary packages built by this source

pysph-doc: Open-source framework for Smoothed Particle Hydrodynamics (documentation)

 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: Open-source framework for Smoothed Particle Hydrodynamics (viewer)

 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