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    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.
    This example demonstrates how much faster bitarray's decoing is as
    opposed to traversing the Huffman tree using Python.
    Library containing useful functionality for working with Huffman trees
    and codes.
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