pysph 1.0~b0~20191115.gite3d5e10-6 source package in Ubuntu

Changelog

pysph (1.0~b0~20191115.gite3d5e10-6) unstable; urgency=medium

  * Update watch file to use tags instead of releases.
  * Disable broken test (see
    https://github.com/pypr/pysph/issues/326).
    Closes: #997029.

 -- Antonio Valentino <email address hidden>  Sun, 02 Jan 2022 09:54:54 +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~b0~20191115.gite3d5e10-6.dsc 2.6 KiB ddd4cd0d017d37f9cf787d0f8b5c7a85fabc0548a29a517dda1e73a42973c7dc
pysph_1.0~b0~20191115.gite3d5e10.orig.tar.gz 2.6 MiB 16182623caef4200fc71e7f46c2472954d7818a4234043ffc6c10826b3975ea6
pysph_1.0~b0~20191115.gite3d5e10-6.debian.tar.xz 14.8 KiB 2b52c2fb3920058427da56e5760f09ad968005db07284c998daede43344fb7d5

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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