| |
| """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() |
|
|
