File size: 2,321 Bytes
158258b | 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 | #!/usr/bin/env python3
"""Compact status for the isolated Codex SDK run1 sweep."""
from __future__ import annotations
import json
import os
from pathlib import Path
ROOT = Path(os.environ.get(
"PTB_RESULTS_DIR",
"/home/jiaruiliu/ptb-data/results_codex_sdk_gpt-5.6-sol_20261006",
))
SWEEP = ROOT / "codex_sdk_gpt-5.6-sol_10h_run1"
TASKS = ("aime2025", "arenahardwriting", "bfcl", "gpqamain", "gsm8k", "healthbench", "humaneval")
MODELS = (
"google/gemma-3-4b-pt",
"Qwen/Qwen3-4B-Base",
"Qwen/Qwen3-1.7B-Base",
"HuggingFaceTB/SmolLM3-3B-Base",
)
def tail(path: Path, size: int = 1_000_000) -> str:
if not path.is_file():
return ""
with path.open("rb") as handle:
handle.seek(max(0, path.stat().st_size - size))
return handle.read().decode(errors="replace")
def classify(run: Path | None) -> tuple[str, str]:
if run is None:
return "missing", "-"
metrics = run / "metrics.json"
if metrics.is_file():
try:
data = json.loads(metrics.read_text())
value = data.get("accuracy", data.get("score", "?"))
return "complete", str(value)
except (OSError, json.JSONDecodeError):
return "bad-metrics", "-"
if (run / "final_model").is_dir():
return "evaluating", "-"
trace = tail(run / "solve_out.txt")
if '"type":"turn.failed"' in trace:
return "agent-failed", "-"
if '"type":"turn.completed"' in trace:
return "agent-finished", "-"
if '"type":"command_execution"' in trace:
return "agent-active", "-"
if '"type":"turn.started"' in trace:
return "agent-starting", "-"
return "starting", "-"
def main() -> None:
counts: dict[str, int] = {}
print(f"results: {ROOT}")
print(f"{'TASK':20} {'MODEL':34} {'STATUS':16} SCORE")
for model in MODELS:
safe_model = model.replace("/", "_")
for task in TASKS:
runs = sorted(SWEEP.glob(f"{task}_{safe_model}_*"))
run = runs[-1] if runs else None
status, score = classify(run)
counts[status] = counts.get(status, 0) + 1
print(f"{task:20} {model:34} {status:16} {score}")
print("summary:", " ".join(f"{key}={counts[key]}" for key in sorted(counts)))
if __name__ == "__main__":
main()
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