File size: 3,523 Bytes
21e1acb | 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 | #!/usr/bin/env python3
"""Compare a pi0.5 Task-E eval directory against the current ACT/XSA evidence."""
from __future__ import annotations
import argparse
from pathlib import Path
import re
import statistics
RESULT_RE = re.compile(r"\[RESULT\].*?score=([0-9.]+).*?steps=([0-9]+).*?done=(True|False)")
BASKET_RE = re.compile(r"\[BASKET\].*?(object_[123]): .*?inside=(True|False)")
DEFAULT_BASELINE_LOGS = [
Path("logs/eval_task_e_xsa_final_seed11_recheck.log"),
Path("logs/eval_task_e_xsa_final_seed12_recheck.log"),
Path("logs/eval_task_e_xsa_final_seed13_recheck.log"),
Path("logs/eval_task_e_deployed_xsa_final_seed11_verify.log"),
]
CURRENT_POLICY_SHA = "c3eacae3f1b0ec8ccde9fdc05d680fff119cc2ca70e1f79e4ddd5610c4bbfa93"
def parse_log(path: Path) -> tuple[float | None, dict[str, bool]]:
if not path.exists():
return None, {}
text = path.read_text(errors="replace")
result = RESULT_RE.search(text)
baskets = {obj: inside == "True" for obj, inside in BASKET_RE.findall(text)}
return (float(result.group(1)) if result else None), baskets
def collect_pi05(eval_dir: Path) -> list[tuple[Path, float, dict[str, bool]]]:
rows = []
for log in sorted(eval_dir.glob("seed*.log")):
score, baskets = parse_log(log)
if score is not None:
rows.append((log, score, baskets))
return rows
def print_rows(title: str, rows: list[tuple[Path, float, dict[str, bool]]]) -> None:
print(f"[{title}]")
if not rows:
print(" no complete result logs")
return
for path, score, baskets in rows:
basket_text = ", ".join(f"{obj}={inside}" for obj, inside in sorted(baskets.items()))
print(f" {path}: score={score:.2f}; {basket_text or 'basket=unknown'}")
scores = [score for _, score, _ in rows]
print(
f" summary: n={len(scores)} mean={statistics.fmean(scores):.2f} "
f"min={min(scores):.2f} max={max(scores):.2f}"
)
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("eval_dir", type=Path)
parser.add_argument("--repo", type=Path, default=Path.cwd())
args = parser.parse_args()
repo = args.repo.resolve()
eval_dir = args.eval_dir if args.eval_dir.is_absolute() else repo / args.eval_dir
baseline_rows = []
for log in DEFAULT_BASELINE_LOGS:
path = log if log.is_absolute() else repo / log
score, baskets = parse_log(path)
if score is not None:
baseline_rows.append((path, score, baskets))
pi05_rows = collect_pi05(eval_dir)
print(f"[CURRENT_DEPLOYED_POLICY_SHA] {CURRENT_POLICY_SHA}")
print_rows("ACT_XSA_BASELINE_EVIDENCE", baseline_rows)
print_rows("PI05_CANDIDATE_EVIDENCE", pi05_rows)
if len(pi05_rows) < 3:
print("[DECISION] HOLD: pi0.5 does not yet have all seed11/12/13 results.")
return 0
pi05_scores = [score for _, score, _ in pi05_rows]
baseline_independent = [score for path, score, _ in baseline_rows if "xsa_final_seed" in path.name]
baseline_mean = statistics.fmean(baseline_independent) if baseline_independent else 0.0
pi05_mean = statistics.fmean(pi05_scores)
if min(pi05_scores) >= baseline_mean and pi05_mean > baseline_mean:
print("[DECISION] REVIEW_FOR_DEPLOY: pi0.5 is clearly better on this evidence set.")
else:
print("[DECISION] HOLD_ACT_XSA: pi0.5 is not clearly better than the current ACT/XSA baseline.")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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