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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43 行
1.3 KiB

#!/usr/bin/env python
import os
import sys
from setuptools import setup, find_packages
from setuptools.command.install import install
import gym_unity
VERSION = gym_unity.__version__
EXPECTED_TAG = gym_unity.__release_tag__
class VerifyVersionCommand(install):
"""
Custom command to verify that the git tag is the expected one for the release.
Originally 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("GITHUB_REF", "NO GITHUB TAG!").replace("refs/tags/", "")
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="gym_unity",
version=VERSION,
description="Unity Machine Learning Agents Gym Interface",
license="Apache License 2.0",
author="Unity Technologies",
author_email="ML-Agents@unity3d.com",
url="https://github.com/Unity-Technologies/ml-agents",
packages=find_packages(),
install_requires=["gym", f"mlagents_envs=={VERSION}"],
cmdclass={"verify": VerifyVersionCommand},
)