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: 675 Bytes
f95cbd4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | import json
from pathlib import Path
import runpy
def test_certified_update_example(capsys):
root=Path(__file__).resolve().parents[1]
runpy.run_path(str(root/"examples/certified_update.py"),run_name="__main__")
result=json.loads(capsys.readouterr().out)
assert result["accepted"]
assert result["audit"]["lower_gain_bound"]>0
assert result["confidence_attempts"]==1
def test_data_schema():
root=Path(__file__).resolve().parents[1]
rows=[json.loads(s) for s in (root/"data/exact_match_prompts.jsonl").read_text().splitlines()]
assert len(rows)==4
assert all(isinstance(x["prompt"],str) and isinstance(x["answer"],str) for x in rows)
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