Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
reinforcement-learning
policy-optimization
klpo
exact-moment-replay
score-centering
stratified-sampling
License:
Download scripts/verify_release.py from PureOne/Celestis-RL: direct link, hf CLI and curl.
- Browser
- Download file 616 Bytes
-
https://huggingface.co/datasets/PureOne/Celestis-RL/resolve/main/scripts/verify_release.py
- Command line
-
hf download hf://datasets/PureOne/Celestis-RL/scripts/verify_release.py
-
curl -L -o verify_release.py https://huggingface.co/datasets/PureOne/Celestis-RL/resolve/main/scripts/verify_release.py
616 Bytes
| import argparse | |
| import json | |
| from pathlib import Path | |
| from celestis_rl.release import build_manifest,verify_manifest | |
| def main(): | |
| p=argparse.ArgumentParser(description="Verify release file hashes; --rebuild only for intentional new releases") | |
| p.add_argument("--root",default=str(Path(__file__).resolve().parents[1])) | |
| p.add_argument("--rebuild",action="store_true") | |
| args=p.parse_args();m=build_manifest(args.root) if args.rebuild else verify_manifest(args.root) | |
| print(json.dumps({"verified_files":len(m["files"]),"version":m["version"],"status":"PASS"},indent=2)) | |
| if __name__=="__main__":main() | |