Created
March 22, 2015 15:37
-
-
Save bedekelly/67dd9fc729dc204a05d3 to your computer and use it in GitHub Desktop.
Building a Huffman Coding Tree using Python
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env python3 | |
from pprint import pprint | |
def main(): | |
text = input() | |
forest = [] | |
for letter in text: | |
for tree in forest: | |
if tree["letter"] == letter: | |
break | |
else: | |
forest.append({"letter": letter, | |
"text": text, | |
"weight": text.count(letter)}) | |
forest = sorted(forest, key=lambda i:i["weight"]) | |
while len(forest) > 2: | |
t1, t2, *rest = forest | |
new_tree = {} | |
new_tree["weight"] = t1["weight"] + t2["weight"] | |
new_tree["left"] = t1 | |
new_tree["right"] = t2 | |
rest.append(new_tree) | |
forest = rest | |
forest = sorted(forest, key=lambda i:i["weight"]) | |
t1, t2 = forest | |
tree = {} | |
tree["weight"] = t1["weight"] + t2["weight"] | |
tree["left"] = t1 | |
tree["right"] = t2 | |
pprint(tree) | |
main() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment