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: {} does not match the expected tag of this app: {}".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", f"mlagents_envs=={VERSION}", "numpy>=1.13.3,<2.0", "Pillow>=4.2.1", "protobuf>=3.6", "pyyaml>=3.1.0", "tensorflow>=1.14,<3.0", "cattrs>=1.0.0", "attrs>=19.3.0", '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}, extras_require={"torch": ["torch>=1.5.0"]}, )