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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2.7 KiB

from io import open
import os
import sys
from setuptools import setup, find_packages
from setuptools.command.install import install
import mlagents.trainers
VERSION = mlagents.trainers.__version__
EXPECTED_TAG = mlagents.trainers.__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: {0} does not match the expected tag of this app: {1}".format(
tag, EXPECTED_TAG
)
sys.exit(info)
# Get the long description from the README file
with open(os.path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="mlagents",
version=VERSION,
description="Unity Machine Learning Agents",
long_description=long_description,
long_description_content_type="text/markdown",
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",
"Programming Language :: Python :: 3.8",
],
# find_namespace_packages will recurse through the directories and find all the packages
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
zip_safe=False,
install_requires=[
# Test-only dependencies should go in test_requirements.txt, not here.
"grpcio>=1.11.0",
"h5py>=2.9.0",
"mlagents_envs=={}".format(VERSION),
"numpy>=1.13.3,<2.0",
"Pillow>=4.2.1",
"protobuf>=3.6",
"pyyaml",
"tensorflow>=1.7,<3.0",
'pypiwin32==223;platform_system=="Windows"',
# We don't actually need six, but tensorflow does, and pip seems
# to get confused and install the wrong version.
"six>=1.12.0",
],
python_requires=">=3.6.1",
entry_points={
"console_scripts": [
"mlagents-learn=mlagents.trainers.learn:main",
"mlagents-run-experiment=mlagents.trainers.run_experiment:main",
]
},
cmdclass={"verify": VerifyVersionCommand},
)