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compress.py: Demonstrates how Huffman codes can be used to efficiently compress and uncompress files (text or binary). Given an input file, calculates the number of occurrences for each character; from those frequencies, a Huffman tree is build. Also allows encoding and decoding of a file, see -h option. decoding.py: This example demonstrates how much faster bitarray's decoing is as opposed to traversing the Huffman tree using Python. huffman.py: Library containing useful functionality for working with Huffman trees and codes.