| |
| from __future__ import annotations |
| import argparse, csv |
| from pathlib import Path |
|
|
| import sys |
| ROOT = Path(__file__).resolve().parents[1] |
| if str(ROOT) not in sys.path: |
| sys.path.insert(0, str(ROOT)) |
| from tbg_cot_bench.core import load_scenarios, simulate_gold, summarize_trajectory, DEFAULT_LEARNING_RATE |
|
|
|
|
| def main() -> None: |
| parser = argparse.ArgumentParser(description="Run gold-label TBG-CoT trajectories.") |
| parser.add_argument("--scenarios", default="scenarios") |
| parser.add_argument("--out", default="results") |
| parser.add_argument("--learning-rate", type=float, default=DEFAULT_LEARNING_RATE) |
| args = parser.parse_args() |
|
|
| out = Path(args.out); out.mkdir(parents=True, exist_ok=True) |
| scenarios = load_scenarios(args.scenarios) |
| all_rows = [] |
| summaries = [] |
| for scenario in scenarios: |
| rows = simulate_gold(scenario, learning_rate=args.learning_rate) |
| all_rows.extend(rows) |
| summaries.append(summarize_trajectory(scenario, rows)) |
|
|
| with (out / "trajectories_gold.csv").open("w", newline="", encoding="utf-8") as f: |
| writer = csv.DictWriter(f, fieldnames=list(all_rows[0].keys())) |
| writer.writeheader(); writer.writerows(all_rows) |
| with (out / "scenario_summary.csv").open("w", newline="", encoding="utf-8") as f: |
| writer = csv.DictWriter(f, fieldnames=list(summaries[0].keys())) |
| writer.writeheader(); writer.writerows(summaries) |
| print(f"Wrote {out / 'trajectories_gold.csv'} and {out / 'scenario_summary.csv'}") |
|
|
| if __name__ == "__main__": |
| main() |
|
|