Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
reinforcement-learning
policy-optimization
klpo
exact-moment-replay
score-centering
stratified-sampling
License:
File size: 616 Bytes
f95cbd4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | 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()
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