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setup.cfg
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55 lines (51 loc) · 1.72 KB
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[metadata]
name = ale-py
author = The Arcade Learning Environment Authors
maintainer = Jesse Farebrother
maintainer_email = jfarebro@cs.mcgill.ca
license = GPLv2
license_file = LICENSE.md
description = The Arcade Learning Environment (ALE) - a platform for AI research.
long_description = file: README.md CHANGELOG.md LICENSE.md
home-page = https://github.com/mgbellemare/Arcade-Learning-Environment
classifiers =
Development Status :: 5 - Production/Stable
Intended Audience :: Science/Research
License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Programming Language :: Python :: 3
Programming Language :: Python :: 3 :: Only
Topic :: Scientific/Engineering
Topic :: Scientific/Engineering :: Artificial Intelligence
keywords = reinforcement-learning arcade-learning-environment atari
project_urls =
Documentation = https://github.com/mgbellemare/Arcade-Learning-Environment/tree/master/docs
Source = https://github.com/mgbellemare/Arcade-Learning-Environment
Tracker = https://github.com/mgbellemare/Arcade-Learning-Environment/issues
Changelog = https://github.com/mgbellemare/Arcade-Learning-Environment/blob/master/CHANGELOG.md
[options]
python_requires = >=3.7
zip_safe = False
packages =
ale_py
ale_py.roms
ale_py.scripts
gym.envs.atari
package_dir =
ale_py = src/python
gym = src/gym
install_requires =
numpy
importlib-metadata; python_version < '3.8'
importlib-resources
[options.extras_require]
test =
pytest
gym
[options.package_data]
ale_py.roms = *.bin
[options.entry_points]
console_scripts =
ale-import-roms = ale_py.scripts.import_roms:main
gym.envs =
ALE = ale_py.gym:register_gym_envs
__internal__ = ale_py.gym:register_legacy_gym_envs