pysph 1.0~b1-7 source package in Ubuntu

Changelog

pysph (1.0~b1-7) unstable; urgency=medium

  * debian/patches:
    - New 0008-Compatibility-with-cython-v3.x.patch
      (Closes: #1056846).
  * debian/rules:
    - Update the list of tests to skip.
  * debian/control:
    - Drop versioned dependency for python3-mako.
    - Remove sphinxdoc:Depemds from python3-pysph.

 -- Antonio Valentino <email address hidden>  Sun, 03 Dec 2023 09:26:15 +0000

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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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pysph_1.0~b1-7.dsc 3.1 KiB b216e55c9ecbbfd28cc8f564cc4c495739c8e71bea8e2421c2b864f8db4f8077
pysph_1.0~b1.orig.tar.gz 2.9 MiB 8c6ac3f0f62aa428d4b8157396772317ec44f282e89ce03ed2b919684613160d
pysph_1.0~b1-7.debian.tar.xz 13.7 KiB f59dd7520acae1397eb6de0c45b18c93001d8dd4f7587dca47c859a68896169d

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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