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Discussion on: The jacoco-badge-generator GitHub Action is now also available as a CLI tool from PyPI

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Vincent A. Cicirello

If you want to see a live example of GitHub Action usage, I am using this in several repositories, including the following:

GitHub logo cicirello / Chips-n-Salsa

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

Chips-n-Salsa - A Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms

Chips-n-Salsa - A Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms

Copyright (C) 2002-2022 Vincent A. Cicirello.

Website: chips-n-salsa.cicirello.org/

API documentation: chips-n-salsa.cicirello.org/api/

Publications About the Library DOI
Packages and Releases Maven Central GitHub release (latest by date)
Build Status build docs CodeQL
JaCoCo Test Coverage coverage branches coverage
Security Snyk security score Snyk Known Vulnerabilities
DOI DOI
License GitHub

How to Cite

If you use this library in your research, please cite the following paper:

Cicirello, V. A., (2020). Chips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms. Journal of Open Source Software, 5(52), 2448, doi.org/10.21105/joss.02448 .

Overview

Chips-n-Salsa is a Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms. The library includes implementations of several stochastic local search algorithms, including simulated annealing, hill climbers, as well as constructive search algorithms such as stochastic sampling. Chips-n-Salsa now also includes genetic algorithms as well as evolutionary algorithms more generally. The library very extensively supports simulated annealing…

The direct link to the workflow within the above repository where it is used is: github.com/cicirello/Chips-n-Salsa...