This is the place for my practice projects.

My practice project after re-visited the idea of Huffman tree in Data structure.

Both tree.py and huffman.py are needed.

import huffman

# a tuple with dict and coded message will return
codetuple = huffman.encode('some words to be encoded.')

# decode takes two args, an encode dict and a coded message.
decodemessage = huffman.decode(codetuple[0], codetuple[1])

encode() takes str and returns the encoding dict and encoded message. decode() takes dict and str and returns the decoded message.

1. test it with an actual full-text document.

2. unit tests.

3. make it able to encode/decode actual files.

Just a practice of a typical problem.