pyswarms 1.3.0-6 source package in Ubuntu

Changelog

pyswarms (1.3.0-6) unstable; urgency=medium

  * Team upload.
  * Drop python3-future from Build-Depends
  * Replace past.xrange by range
    Closes: #1056445, #1058390
  * Fix Maintainer name of Debian Science team (routine-update)
  * Remove trailing whitespace in debian/changelog (routine-update)
  * Remove trailing whitespace in debian/copyright (routine-update)
  * Build-Depends: s/dh-python/dh-sequence-python3/ (routine-update)
  * Add salsa-ci file (routine-update)

 -- Andreas Tille <email address hidden>  Tue, 23 Jan 2024 15:26:07 +0100

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science 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
pyswarms_1.3.0-6.dsc 2.4 KiB 39970f25d28fa36cb5ebaf9271029a7d466d50e825dbc966524df6bfd92a833f
pyswarms_1.3.0.orig.tar.gz 27.9 MiB 8ae477f52cdfbd0b0a5be86bc0c1d93b3d46d7d5359e8730373896f506667739
pyswarms_1.3.0-6.debian.tar.xz 10.7 KiB 752f21161a207676025d0b344fcb9361414f99d79bb07e425abbf8ce214cb3de

Available diffs

No changes file available.

Binary packages built by this source

python-pyswarms-doc: documentation and examples for PySwarms

 PySwarms is an extensible research toolkit for particle swarm optimization
 (PSO) in Python.
 .
 It is intended for swarm intelligence researchers, practitioners, and students
 who prefer a high-level declarative interface for implementing PSO in their
 problems. PySwarms enables basic optimization with PSO and interaction with
 swarm optimizations.
 .
 Features:
   * High-level module for Particle Swarm Optimization
   * Built-in objective functions to test optimization algorithms
   * Plotting environment for cost histories and particle movement
   * Hyperparameter search tools to optimize swarm behaviour
 .
 This package contains the documentation and examples for PySwarms.

python3-pyswarms: research toolkit for particle swarm optimization in Python

 PySwarms is an extensible research toolkit for particle swarm optimization
 (PSO) in Python.
 .
 It is intended for swarm intelligence researchers, practitioners, and students
 who prefer a high-level declarative interface for implementing PSO in their
 problems. PySwarms enables basic optimization with PSO and interaction with
 swarm optimizations.
 .
 Features:
   * High-level module for Particle Swarm Optimization
   * Built-in objective functions to test optimization algorithms
   * Plotting environment for cost histories and particle movement
   * Hyperparameter search tools to optimize swarm behaviour
 .
 This package contains the Python 3.x version of PySwarms.