Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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57 行
1.7 KiB

import os
import sys
from setuptools import setup, find_packages
from setuptools.command.install import install
import mlagents_envs
VERSION = mlagents_envs.__version__
EXPECTED_TAG = mlagents_envs.__release_tag__
here = os.path.abspath(os.path.dirname(__file__))
class VerifyVersionCommand(install):
"""
Custom command to verify that the git tag is the expected one for the release.
Based on https://circleci.com/blog/continuously-deploying-python-packages-to-pypi-with-circleci/
This differs slightly because our tags and versions are different.
"""
description = "verify that the git tag matches our version"
def run(self):
tag = os.getenv("CIRCLE_TAG")
if tag != EXPECTED_TAG:
info = "Git tag: {} does not match the expected tag of this app: {}".format(
tag, EXPECTED_TAG
)
sys.exit(info)
setup(
name="mlagents_envs",
version=VERSION,
description="Unity Machine Learning Agents Interface",
url="https://github.com/Unity-Technologies/ml-agents",
author="Unity Technologies",
author_email="ML-Agents@unity3d.com",
classifiers=[
"Intended Audience :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
],
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
zip_safe=False,
install_requires=[
"cloudpickle",
"grpcio>=1.11.0",
"numpy>=1.14.1,<2.0",
"Pillow>=4.2.1",
"protobuf>=3.6",
],
python_requires=">=3.5",
cmdclass={"verify": VerifyVersionCommand},
)