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out['csv_summaries'] = csv_summaries

# Quick printable tables print("=== File extensions ===") for ext, cnt in ext_counts.most_common(): print(f"ext or '[no ext]': cnt")

ROOT = Path('smile_unpacked') # change if needed out = {} Download- smile.zip -3.16 MB-

# 1. File type counts ext_counts = Counter(p.suffix.lower() for p in ROOT.rglob('*') if p.is_file()) out['ext_counts'] = ext_counts

duplicates = h:paths for h,paths in hashes.items() if len(paths) > 1 out['duplicates'] = duplicates paths in hashes.items() if len(paths) &gt

print("\n=== Duplicate files (SHA‑256) ===") for h, paths in duplicates.items(): print(f"h:") for p in paths: print(f" - p")

# 2. SHA256 hashes (detect duplicates) hashes = {} for p in ROOT.rglob('*'): if p.is_file(): h = hashlib.sha256() with p.open('rb') as f: while chunk := f.read(8192): h.update(chunk) dig = h.hexdigest() hashes.setdefault(dig, []).append(p.relative_to(ROOT)) Download- smile.zip -3.16 MB-

out['image_stats'] = pd.DataFrame(img_info)