pyina 0.2.9-1 source package in Ubuntu

Changelog

pyina (0.2.9-1) unstable; urgency=medium

  * Team upload.
  * New upstream release.
  * debian/watch: Fix upstream monitoring script.
  * debian/control: Add missing Build-Using field for the doc package.

 -- Boyuan Yang <email address hidden>  Fri, 02 Feb 2024 00:28:49 -0500

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
pyina_0.2.9-1.dsc 3.0 KiB 4147131c752db2518ff5338f624a3166b6e13c3c3c3995b204616d01bfdf3688
pyina_0.2.9.orig.tar.gz 120.8 KiB c54b69bbf62c3eb5f6740e0726f00af7c80bae3718b763af6f3992d748463a68
pyina_0.2.9-1.debian.tar.xz 3.6 KiB 0224ce3a747e734efd82fbde3e8ff19889b656807e611510c9e06730621ccd33

Available diffs

No changes file available.

Binary packages built by this source

python-pyina-doc: MPI parallel map and cluster scheduling (documentation)

 The pyina package provides several basic tools to make MPI-based
 parallel computing more accessible to the end user. The goal of pyina
 is to allow the user to extend their own code to MPI-based parallel
 computing with minimal refactoring.
 .
 pyina provides a highly configurable parallel map interface
 to running MPI jobs, with:
 .
  * a map interface that extends the Python map standard
  * the ability to submit batch jobs to a selection of schedulers
  * the ability to customize node and process launch configurations
  * the ability to launch parallel MPI jobs with standard Python
  * ease in selecting different strategies for processing a work list
 .
 pyina is part of pathos, a Python framework for heterogeneous computing.
 .
 This package contains the pyina documentation in HTML format.

python3-pyina: MPI parallel map and cluster scheduling

 The pyina package provides several basic tools to make MPI-based
 parallel computing more accessible to the end user. The goal of pyina
 is to allow the user to extend their own code to MPI-based parallel
 computing with minimal refactoring.
 .
 pyina provides a highly configurable parallel map interface
 to running MPI jobs, with:
 .
  * a map interface that extends the Python map standard
  * the ability to submit batch jobs to a selection of schedulers
  * the ability to customize node and process launch configurations
  * the ability to launch parallel MPI jobs with standard Python
  * ease in selecting different strategies for processing a work list
 .
 pyina is part of pathos, a Python framework for heterogeneous computing.