ppft 1.7.6.8+dfsg-1 source package in Ubuntu

Changelog

ppft (1.7.6.8+dfsg-1) unstable; urgency=medium

  * Team upload.
  * New upstream release.
  * debian/watch: Fix GitHub monitoring script.
  * debian/control: Bump version requirement of python3-dill.

 -- Boyuan Yang <email address hidden>  Tue, 30 Jan 2024 19:14:25 -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
ppft_1.7.6.8+dfsg-1.dsc 3.0 KiB dd28b8805d54ef5b6b9419ef067f757eb2c5e3968895f26b3f70d6cb246963c4
ppft_1.7.6.8+dfsg.orig.tar.xz 108.6 KiB e8020d1738b1e140e0244265752c7f2d62fa996e5f8db7d053229edcaa0c181a
ppft_1.7.6.8+dfsg-1.debian.tar.xz 4.1 KiB c91e91af25e7f897bf0307585631b39ca9e16416e94356d293e87fd0cbd2d83a

Available diffs

No changes file available.

Binary packages built by this source

python-ppft-doc: Distributed and parallel Python (documentation)

 ppft is a friendly fork of Parallel Python. It provides:
 .
  * parallel execution of Python code on SMP and clusters
  * easy-to-understand job-based parallelization
  * automatic detection of the number of effective processors
  * dynamic processor allocation (at runtime)
  * low overhead for jobs with the same function (through transparent caching)
  * dynamic load balancing (jobs are distributed at runtime)
  * fault-tolerance (if a node fails, tasks are rescheduled on the others)
  * auto-discovery of computational resources
  * dynamic allocation of computational resources
  * SHA based authentication for network connections
  * enhanced serialization, using dill.source
 .
 ppft is part of pathos, a Python framework for heterogeneous computing.
 .
 This package contains the ppft documentation in HTML format.

python3-ppft: Distributed and parallel Python

 ppft is a friendly fork of Parallel Python. It provides:
 .
  * parallel execution of Python code on SMP and clusters
  * easy-to-understand job-based parallelization
  * automatic detection of the number of effective processors
  * dynamic processor allocation (at runtime)
  * low overhead for jobs with the same function (through transparent caching)
  * dynamic load balancing (jobs are distributed at runtime)
  * fault-tolerance (if a node fails, tasks are rescheduled on the others)
  * auto-discovery of computational resources
  * dynamic allocation of computational resources
  * SHA based authentication for network connections
  * enhanced serialization, using dill.source
 .
 ppft is part of pathos, a Python framework for heterogeneous computing.