Ubuntu
pysph package

pysph 1.0~b1-5 source package in Ubuntu

Changelog

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

  * debian/rules:
    - enable numpy3 dh helper.
    - disable tests not compatible with numpy v1.24.

 -- Antonio Valentino <email address hidden>  Thu, 29 Dec 2022 19:26:20 +0000

Upload details

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

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File Size SHA-256 Checksum
pysph_1.0~b1-5.dsc 2.5 KiB 2cd0bef3668d76ad4d97693b624f43316eb4490d22a02c6756a3f944e51bc20f
pysph_1.0~b1.orig.tar.gz 2.9 MiB 8c6ac3f0f62aa428d4b8157396772317ec44f282e89ce03ed2b919684613160d
pysph_1.0~b1-5.debian.tar.xz 12.7 KiB f84f97c85af3ddcabc0c50292e0335fc0ef123972e64c916f7e7cd37e0bdc9e9

Available diffs

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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