import os import sys from setuptools import setup, find_packages from setuptools.command.install import install from mlagents.plugins import ML_AGENTS_STATS_WRITER 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. 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) # 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", # Windows ver. of PyTorch doesn't work from PyPi. Installation: # https://github.com/Unity-Technologies/ml-agents/blob/release_17_docs/docs/Installation.md#windows-installing-pytorch # Torch only working on python 3.9 for 1.8.0 and above. Details see: # https://github.com/pytorch/pytorch/issues/50014 "torch>=1.8.0,<1.9.0;(platform_system!='Windows' and python_version>='3.9')", "torch>=1.6.0,<1.9.0;(platform_system!='Windows' and python_version<'3.9')", "tensorboard>=1.15", # cattrs 1.1.0 dropped support for python 3.6, but 1.0.0 doesn't work for python 3.9 # Since there's no version that supports both, we have to draw the line somwehere. "cattrs<1.1.0; python_version<'3.8'", "cattrs>=1.1.0,<1.7; python_version>='3.8'", "attrs>=19.3.0", 'pypiwin32==223;platform_system=="Windows"', "importlib_metadata; python_version<'3.8'", ], python_requires=">=3.6.1", entry_points={ "console_scripts": [ "mlagents-learn=mlagents.trainers.learn:main", "mlagents-run-experiment=mlagents.trainers.run_experiment:main", ], # Plugins - each plugin type should have an entry here for the default behavior ML_AGENTS_STATS_WRITER: [ "default=mlagents.plugins.stats_writer:get_default_stats_writers" ], }, cmdclass={"verify": VerifyVersionCommand}, )