Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	9F5F5CABA92F5A707BAE6AAB0EEB95FD
PackageArch	noarch
PackageDescription	Documentation for pyswarms package
PackageMaintainer	Fedora Project
PackageName	python-pyswarms-doc
PackageRelease	1.fc34
PackageVersion	1.3.0
SHA-1	848622FD9733EA5866E9440CB29B1FF3B7307127
SHA-256	2F1E1FFA42BE4522562B2A4194EA225072C5B04BEFD360F755C830B07D189AF4

Key	Value
FileSize	5736592
MD5	7B8DE1B1EE41501A74620697E856B9AA
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pyswarms-doc
PackageSection	doc
PackageVersion	1.3.0-1
SHA-1	7A2BBD890876AF9606F38B7F02162E47B0996CC8
SHA-256	7D45D0D32A71D5AB9DE25CD50001E2FD75C9D669C43077D9E70174892BAEB7D6

Key	Value
FileSize	5741124
MD5	70209BE65478F420843B82F16D926A7F
PackageDescription	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.
PackageMaintainer	Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-pyswarms-doc
PackageSection	doc
PackageVersion	1.3.0-1
SHA-1	B2C5F48F61A2E872A679EF216FFAD20EB7D52140
SHA-256	A3169281865229D54039CD1318A0EBF514915D4F56C64C6F13293D10BC579EF5

Key	Value
FileSize	1817364
MD5	F25A8A0B6C2DC717DA317A3A39099FD1
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pyswarms-doc
PackageSection	doc
PackageVersion	1.1.0+dfsg-3
SHA-1	28D67DCD832C4B86ADA26B1252356AFAC39C91CA
SHA-256	554AE5F9E6CD620A493EC067D96E40E947D6079C09B1C8718DDDCFF9B41B8204