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916823d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 | #!/usr/bin/env python3
"""Run static pass@k evaluation on LeanCat."""
from __future__ import annotations
import argparse
from pathlib import Path
from eval_common import (
ROOT,
add_common_args,
chat_completion,
extract_lean_code,
load_problem,
load_prompt,
log,
now_seconds,
problem_ids,
render_prompt,
verify_lean,
write_json,
)
def run_problem(args: argparse.Namespace, problem_id: str, template: str) -> dict:
nl_statement, formal_statement = load_problem(problem_id)
log(f"pass@k problem {problem_id}: loaded inputs")
problem_dir = args.output_dir / "passk" / args.model / problem_id
result_path = problem_dir / "result.json"
if args.resume and result_path.exists():
print(f"[{problem_id}] result exists, skipping")
return {}
attempts = []
solved = False
for attempt_index in range(1, args.k + 1):
log(f"pass@k problem {problem_id}: attempt {attempt_index}/{args.k} started")
attempt_path = problem_dir / f"attempt_{attempt_index}.json"
lean_path = problem_dir / f"attempt_{attempt_index}.lean"
if args.resume and attempt_path.exists():
continue
prompt = render_prompt(template, formal_statement=formal_statement)
started_at = now_seconds()
raw_response = chat_completion(
prompt=prompt,
model=args.model,
temperature=args.temperature,
max_tokens=args.max_tokens,
base_url=args.base_url,
api_key=args.api_key,
)
log(f"pass@k problem {problem_id}: extracting Lean candidate")
candidate = extract_lean_code(raw_response)
log(f"pass@k problem {problem_id}: verifying candidate chars={len(candidate)}")
ok, verifier_output = verify_lean(candidate, timeout=args.timeout)
elapsed_seconds = now_seconds() - started_at
lean_path.parent.mkdir(parents=True, exist_ok=True)
lean_path.write_text(candidate, encoding="utf-8")
attempt = {
"problem_id": problem_id,
"attempt": attempt_index,
"model": args.model,
"temperature": args.temperature,
"ok": ok,
"elapsed_seconds": elapsed_seconds,
"prompt": prompt,
"raw_response": raw_response,
"candidate_path": str(lean_path.relative_to(ROOT)),
"verifier_output": verifier_output,
}
write_json(attempt_path, attempt)
attempts.append(attempt)
print(f"[{problem_id}] attempt {attempt_index}/{args.k}: {'ok' if ok else 'failed'}")
if ok:
solved = True
if args.stop_on_success:
break
result = {
"problem_id": problem_id,
"model": args.model,
"k": args.k,
"solved": solved,
"attempts": [
{
"attempt": item["attempt"],
"ok": item["ok"],
"elapsed_seconds": item["elapsed_seconds"],
"candidate_path": item["candidate_path"],
}
for item in attempts
],
"natural_language_statement": nl_statement,
"formal_statement": formal_statement,
}
write_json(result_path, result)
return result
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
add_common_args(parser)
parser.add_argument("-k", "--k", type=int, default=4, help="Number of samples per problem.")
parser.add_argument("--stop-on-success", action="store_true")
args = parser.parse_args()
log(
f"starting pass@k start={args.start} end={args.end} model={args.model} "
f"k={args.k} output_dir={args.output_dir}"
)
template = load_prompt("prompts/static_passk.md")
results = []
for problem_id in problem_ids(args.start, args.end):
result = run_problem(args, problem_id, template)
if result:
results.append(result)
solved = sum(1 for item in results if item.get("solved"))
summary = {
"mode": "static_passk",
"model": args.model,
"k": args.k,
"start": args.start,
"end": args.end,
"solved": solved,
"total": len(results),
}
summary_path = args.output_dir / "passk" / args.model / "summary.json"
write_json(summary_path, summary)
print(f"Summary: {solved}/{len(results)} solved")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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