"""
Resume script for Qwen3 variance analysis.
Only runs the 2 experiments interrupted by job 2033368:
  nr128_blTrue, nr128_blFalse
Then merges with the 10 completed results from the killed run and saves/plots.
"""

import json
import os
import sys

# Reuse everything from the original script
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from qwen3_variance_analysis_auto import (
    ROLLOUT_NUMS, OUTPUT_DIR,
    worker_init, run_single_experiment, plot_results,
)
import torch.multiprocessing as mp


# Results already completed in job 2033368 (extracted from log)
COMPLETED_RESULTS = {
    "nr4_blFalse":  {"mean": 2.453292e-01, "std": 8.433693e-02},
    "nr4_blTrue":   {"mean": 1.544762e-01, "std": 5.542017e-02},
    "nr8_blTrue":   {"mean": 1.679264e-01, "std": 5.820824e-02},
    "nr8_blFalse":  {"mean": 2.190761e-01, "std": 7.012213e-02},
    "nr16_blFalse": {"mean": 2.448343e-01, "std": 7.550860e-02},
    "nr16_blTrue":  {"mean": 2.075920e-01, "std": 6.842490e-02},
    "nr32_blTrue":  {"mean": 1.788574e-01, "std": 5.623576e-02},
    "nr32_blFalse": {"mean": 2.002312e-01, "std": 5.805813e-02},
    "nr64_blFalse": {"mean": 1.702958e-01, "std": 5.899355e-02},
    "nr64_blTrue":  {"mean": 1.592376e-01, "std": 5.725100e-02},
}

# Only need to run these 2
REMAINING_TASKS = [
    (128, True),   # nr128_blTrue
    (128, False),  # nr128_blFalse
]


def main():
    os.makedirs(OUTPUT_DIR, exist_ok=True)

    print(f"Resuming: {len(REMAINING_TASKS)} experiments on 2 GPUs")

    gpu_queue = mp.Queue()
    for gid in [0, 1]:
        gpu_queue.put(gid)

    with mp.Pool(
        processes=2,
        initializer=worker_init,
        initargs=(gpu_queue,),
    ) as pool:
        new_results_list = pool.map(run_single_experiment, REMAINING_TASKS)

    # Merge
    results = dict(COMPLETED_RESULTS)
    results.update(dict(new_results_list))

    # Save
    results_path = os.path.join(OUTPUT_DIR, "results.json")
    with open(results_path, "w") as f:
        json.dump(results, f, indent=2)
    print(f"Results saved to {results_path}")

    # Plot
    plot_results(results, OUTPUT_DIR)
    print("All done!")


if __name__ == "__main__":
    mp.set_start_method("spawn")
    main()