Ubuntu
pysph package

pysph 1.0~b1-8 source package in Ubuntu

Changelog

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

  * debian/control:
    - Remove runtime dependenvy form cython (Closes: #1058013).
  * Update dates in d/copyright.

 -- Antonio Valentino <email address hidden>  Sun, 07 Jan 2024 10:11:47 +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~b1-8.dsc 3.1 KiB 14505c183d8a1de85603f3ee81cee34ed79c4695060245c5aa2ff4b7d32aebed
pysph_1.0~b1.orig.tar.gz 2.9 MiB 8c6ac3f0f62aa428d4b8157396772317ec44f282e89ce03ed2b919684613160d
pysph_1.0~b1-8.debian.tar.xz 13.8 KiB 496fe3ce78c18068770cb73804c1a18622d21a0b90ea4405dc03e7397c57d44d

Available diffs

No changes file available.

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