CityLearn

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2.2.0 CityLearn-2.2.0-py3-none-any.whl

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Project: CityLearn
Version: 2.2.0
Filename: CityLearn-2.2.0-py3-none-any.whl
Download: [link]
Size: 372471
MD5: 01dbe081a63554ebf49b9e8d5b038dd8
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Uploaded: 2024-11-07 02:15:34 +0000

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METADATA

Metadata-Version: 2.1
Name: CityLearn
Version: 2.2.0
Summary: An open source Farama Foundation Gymnasium environment for benchmarking distributed energy resource control algorithms to provide energy flexibility in a district of buildings.
Author: Jose Ramon Vazquez-Canteli, Kingsley Nweye, Zoltan Nagy
Author-Email: nweye[at]utexas.edu
Home-Page: https://github.com/intelligent-environments-lab/CityLearn
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7.7
Requires-Dist: doe-xstock (>=1.0.0)
Requires-Dist: gymnasium
Requires-Dist: nrel-pysam
Requires-Dist: numpy (<2.0.0)
Requires-Dist: pandas
Requires-Dist: pyyaml
Requires-Dist: scikit-learn (<=1.2.2)
Requires-Dist: simplejson
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: openstudio (<=3.3.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1398 characters]

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top_level.txt

citylearn

entry_points.txt

citylearn = citylearn.__main__:main