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
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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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
- diff from 1.0~b1-4 to 1.0~b1-5 (707 bytes)
No changes file available.
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