Metadata-Version: 2.4
Name: consensusGen
Version: 2.7
Summary: Genetic algorithm for consensus building
Home-page: https://pypi.org/project/consensusGen/
Author: RomainCoulon (Romain Coulon)
Author-email: <romain.coulon@bipm.org>
Project-URL: Documentation, https://github.com/RomainCoulon/consensusGen/
Keywords: genetic algorithm,inter-laboratory comparison,consenus building
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Natural Language :: French
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
License-File: LICENCE.md
Requires-Dist: numpy
Requires-Dist: matplotlib
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
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Dynamic: keywords
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# consensusGen

`consensusGen.py` is a Python code implementing an genetic algorithm allowing to build a consensus value from measurement results of an inter-laboratory comparison. 

Details are provided in
- [Romain Coulon and Steven Judge 2021 Metrologia 58 065007](https://doi.org/10.1088/1681-7575/ac31c0)
- [Romain Coulon EPJ Web of Conferences 323, 14001 (2025), <sup>22</sup>nd International Metrology Congress](https://doi.org/10.1051/epjconf/202532314001)

The code is developped and maintained by the BIPM (MIT license).
