-
Notifications
You must be signed in to change notification settings - Fork 15
/
setup.py
77 lines (66 loc) · 2.64 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
# We still provide a setup.py for backwards compatability.
# But the pyproject.toml should be prefered.
import toml
import itertools
from pathlib import Path
from typing import List
from setuptools import setup, find_packages
print('[!] You are currently installing/building fancy_gym via setup.py. This is only provided for backwards-compatability. Please use the pyproject.toml instead.')
pyproject_content = toml.load("pyproject.toml")
project_version = pyproject_content["project"]["version"]
# Environment-specific dependencies for dmc and metaworld
extras = {
'dmc': ['shimmy[dm-control]', 'Shimmy==1.0.0'],
'box2d': ['gymnasium[box2d]>=0.26.0'],
'mujoco-legacy': ['mujoco-py >=2.1,<2.2', 'cython<3'],
'jax': ["jax >=0.4.0", "jaxlib >=0.4.0"],
'mushroom-rl': ['mushroom-rl'],
}
# All dependencies
all_groups = set(extras.keys())
extras["all"] = list(set(itertools.chain.from_iterable(
map(lambda group: extras[group], all_groups))))
extras['testing'] = extras["all"] + ['pytest']
def find_package_data(extensions_to_include: List[str]) -> List[str]:
envs_dir = Path("fancy_gym/envs/mujoco")
package_data_paths = []
for extension in extensions_to_include:
package_data_paths.extend([str(path)[10:]
for path in envs_dir.rglob(extension)])
return package_data_paths
setup(
author='Fabian Otto, Onur Celik, Dominik Roth, Hongyi Zhou',
name='fancy_gym',
version=project_version,
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
],
extras_require=extras,
install_requires=[
'toml',
'mp_pytorch<=0.1.3',
'mujoco==2.3.3',
'gymnasium[mujoco]>=0.26.0'
],
packages=[package for package in find_packages(
) if package.startswith("fancy_gym")],
package_data={
"fancy_gym": find_package_data(extensions_to_include=["*.stl", "*.xml"])
},
python_requires=">=3.7",
url='https://github.com/ALRhub/fancy_gym/',
license='MIT license',
author_email='',
description='Fancy Gym: Unifying interface for various RL benchmarks with support for Black Box approaches.'
)