#!/usr/bin/env python3
"""Debug script to inspect pkl structure"""
import pickle
import numpy as np

pkl_file = 'results/declip_vitb16/predictions.pkl'

print("Loading pkl...")
with open(pkl_file, 'rb') as f:
    results = pickle.load(f)

print(f"Type: {type(results)}")
print(f"Length: {len(results)}")

# Check first few results
for i in range(min(3, len(results))):
    result = results[i]
    print(f"\n=== Result {i} ===")
    print(f"  Type: {type(result)}")
    if isinstance(result, (list, tuple)):
        print(f"  Length: {len(result)}")
        for j, item in enumerate(result[:3]):
            print(f"    [{j}] Type: {type(item)}, Shape: {getattr(item, 'shape', 'N/A')}, Len: {len(item) if hasattr(item, '__len__') else 'N/A'}")
            if hasattr(item, '__len__') and len(item) > 0:
                if hasattr(item, 'shape'):
                    print(f"        First elem shape: {item[0].shape if len(item) > 0 else 'empty'}")
                    if len(item) > 0 and len(item[0]) > 0:
                        print(f"        First box: {item[0]}")

# Find first non-empty bbox
print("\n=== Finding non-empty predictions ===")
for i in range(min(100, len(results))):
    result = results[i]
    if isinstance(result, (list, tuple)):
        for j, bboxes in enumerate(result):
            if hasattr(bboxes, '__len__') and len(bboxes) > 0:
                print(f"Image {i}, Class {j}: {len(bboxes)} boxes")
                print(f"  Type: {type(bboxes)}, Shape: {bboxes.shape if hasattr(bboxes, 'shape') else 'N/A'}")
                if len(bboxes) > 0:
                    print(f"  First box: {bboxes[0]}")
                    print(f"  First box type: {type(bboxes[0])}")
                    print(f"  First box shape: {bboxes[0].shape if hasattr(bboxes[0], 'shape') else len(bboxes[0])}")
                break
        else:
            continue
        break