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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48 行
1.7 KiB

#!/usr/bin/env python3
import os
import glob
from setuptools import find_packages, PEP420PackageFinder
class NonTrivialPEP420PackageFinder(PEP420PackageFinder):
"""
The PEP420PackageFinder (used by find_namespace_packages) thinks everything
looks like a package, even if there are no python files in it. This is a
little stricter and only considers directories with python files in it.
"""
@staticmethod
def _looks_like_package(path):
glob_path = os.path.join(path, "*.py")
return any(glob.iglob(glob_path))
def validate_packages(root_dir):
"""
Makes sure that all python files are discoverable by find_packages(), which
is what we use in setup.py. We could potentially use
find_namespace_packages instead, but depending on PEP420 has been flaky
in the past (particularly with regards to mypy).
"""
exclude = ["*.tests", "*.tests.*", "tests.*", "tests"]
found_packages = find_packages(root_dir, exclude=exclude)
found_ns_packages = NonTrivialPEP420PackageFinder.find(root_dir, exclude=exclude)
assert found_packages, f"Couldn't find anything in directory {root_dir}"
if set(found_packages) != set(found_ns_packages):
raise RuntimeError(
"The following packages are not discoverable using found_packages():\n"
f"{set(found_ns_packages) - set(found_packages)}\n"
"Make sure you have an __init__.py file in the directories."
)
else:
print(f"__init__.py files for {root_dir} are OK.")
def main():
for root_dir in ["ml-agents", "ml-agents-envs", "gym-unity"]:
validate_packages(root_dir)
if __name__ == "__main__":
main()