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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65 行
1.9 KiB

import os
def main():
asset_paths = ["Project/Assets", "com.unity.ml-agents"]
meta_suffix = ".meta"
python_suffix = ".py"
whitelist = frozenset(
[
"com.unity.ml-agents/.editorconfig",
"com.unity.ml-agents/.gitignore",
"com.unity.ml-agents/.npmignore",
"com.unity.ml-agents/Tests/.tests.json",
]
)
ignored_dirs = {"Documentation~"}
num_matched = 0
unmatched = set()
for asset_path in asset_paths:
for root, dirs, files in os.walk(asset_path):
# Modifying the dirs list with topdown=True (the default) will prevent us from recursing those directories
for ignored in ignored_dirs:
try:
dirs.remove(ignored)
except ValueError:
pass
dirs = set(dirs)
files = set(files)
combined = dirs | files
for f in combined:
if f.endswith(python_suffix):
# Probably this script; skip it
continue
full_path = os.path.join(root, f)
if full_path in whitelist:
continue
# We expect each non-.meta file to have a .meta file, and each .meta file to have a non-.meta file
if f.endswith(meta_suffix):
expected = f.replace(meta_suffix, "")
else:
expected = f + meta_suffix
if expected not in combined:
unmatched.add(full_path)
else:
num_matched += 1
if unmatched:
raise Exception(
f"Mismatch between expected files and their .meta files: {sorted(unmatched)}"
)
print(f"Found {num_matched} correctly matched files")
if __name__ == "__main__":
main()