pyswarms 1.3.0-4 source package in Ubuntu

Changelog

pyswarms (1.3.0-4) unstable; urgency=medium

  [ Debian Janitor ]
  * Apply multi-arch hints. + python-pyswarms-doc: Add Multi-Arch: foreign.

  [ Christian Kastner ]
  * Bump Standards-Version to 4.6.2 (no changes needed)
  * autopkgtest: Use py3versions --supported instead of --requested
    - Add python3-all as autopkgtest dependency
  * Bump copyright

 -- Christian Kastner <email address hidden>  Sun, 18 Dec 2022 22:47:15 +0100

Upload details

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

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Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
pyswarms_1.3.0-4.dsc 2.5 KiB 410c51dc662b0e6f3c466b703c49ecadb1724b6e40391548dd2e76be0be4a978
pyswarms_1.3.0.orig.tar.gz 27.9 MiB 8ae477f52cdfbd0b0a5be86bc0c1d93b3d46d7d5359e8730373896f506667739
pyswarms_1.3.0-4.debian.tar.xz 9.6 KiB bc6bc72cc411197b4c4b994b1f76578a0a7a50188e045a0184d7628b1966037f

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.