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59 行
1.9 KiB
59 行
1.9 KiB
import os
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import sys
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from setuptools import setup, find_packages
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from setuptools.command.install import install
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import mlagents_envs
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VERSION = mlagents_envs.__version__
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EXPECTED_TAG = mlagents_envs.__release_tag__
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here = os.path.abspath(os.path.dirname(__file__))
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class VerifyVersionCommand(install):
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"""
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Custom command to verify that the git tag is the expected one for the release.
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Originally based on https://circleci.com/blog/continuously-deploying-python-packages-to-pypi-with-circleci/
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This differs slightly because our tags and versions are different.
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"""
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description = "verify that the git tag matches our version"
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def run(self):
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tag = os.getenv("GITHUB_REF", "NO GITHUB TAG!").replace("refs/tags/", "")
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if tag != EXPECTED_TAG:
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info = "Git tag: {} does not match the expected tag of this app: {}".format(
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tag, EXPECTED_TAG
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)
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sys.exit(info)
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setup(
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name="mlagents_envs",
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version=VERSION,
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description="Unity Machine Learning Agents Interface",
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url="https://github.com/Unity-Technologies/ml-agents",
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author="Unity Technologies",
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author_email="ML-Agents@unity3d.com",
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classifiers=[
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"Intended Audience :: Developers",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"License :: OSI Approved :: Apache Software License",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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],
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packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
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zip_safe=False,
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install_requires=[
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"cloudpickle",
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"grpcio>=1.11.0",
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"numpy>=1.14.1",
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"Pillow>=4.2.1",
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"protobuf>=3.6",
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"pyyaml>=3.1.0",
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],
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python_requires=">=3.6.1",
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cmdclass={"verify": VerifyVersionCommand},
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)
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