fancy_gym/setup.py
2022-07-13 15:10:43 +02:00

45 lines
1.6 KiB
Python

import itertools
from setuptools import setup, find_packages
# Environment-specific dependencies for dmc and metaworld
extras = {
"dmc": ["dm_control==1.0.1"],
"meta": ["metaworld @ git+https://github.com/rlworkgroup/metaworld.git@master#egg=metaworld"],
"mujoco": ["mujoco==2.2.0", "imageio>=2.14.1"],
}
# All dependencies
all_groups = set(extras.keys())
extras["all"] = list(set(itertools.chain.from_iterable(map(lambda group: extras[group], all_groups))))
setup(
author='Fabian Otto, Onur Celik, Marcel Sandermann, Maximilian Huettenrauch',
name='simple_gym',
version='0.1',
classifiers=[
# Python 3.6 is minimally supported (only with basic gym environments and API)
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
extras_require=extras,
install_requires=[
'gym>=0.24.0',
],
packages=[package for package in find_packages() if package.startswith("fancy_gym")],
# packages=['fancy_gym', 'fancy_gym.envs', 'fancy_gym.open_ai', 'fancy_gym.dmc', 'fancy_gym.meta', 'fancy_gym.utils'],
package_data={
"fancy_gym": [
"envs/mujoco/*/assets/*.xml",
]
},
python_requires=">=3.6",
url='https://github.com/ALRhub/fancy_gym/',
# license='AGPL-3.0 license',
author_email='',
description='Simple Gym: Aggregating interface for various RL environments with support for Black Box approaches.'
)