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To optimize your script for better performance, especially when dealing with large directories or files, we can use several techniques such as:

1. Larger Chunk Size: Increase the chunk size used for hashing files to reduce the number of I/O operations.
2. Parallel Processing: Use Python's "concurrent.futures "module to process files in parallel, taking advantage of multiple CPU cores.
3. Reduce Unnecessary Operations: Avoid redundant operations, such as scanning the directory multiple times.
4. Memory Efficiency: Use generators where possible to avoid loading all file paths or file content into memory at once.