Skip to content

Commit f4d6145

Browse files
authored
Create huffman_coding.py
1 parent acadd23 commit f4d6145

File tree

1 file changed

+149
-0
lines changed

1 file changed

+149
-0
lines changed
Lines changed: 149 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,149 @@
1+
# Problem name: Huffman Coding
2+
# Approach: Greedy Method
3+
4+
# -----------------------------------------------------------------------------------------------
5+
6+
# Problem Statement: Huffman coding is a lossless data compression algorithm.
7+
# The idea is to assign variable-length codes to input
8+
# characters, lengths of the assigned codes are based on the
9+
# frequencies of corresponding characters. The most frequent
10+
# character gets the smallest code and the least frequent
11+
# character gets the largest code.
12+
13+
# -----------------------------------------------------------------------------------------------
14+
15+
# Constraints:
16+
# chars[] -> set of characters/array of characters.
17+
# freq[] -> frequency of each of the characters in the given set.
18+
19+
# -----------------------------------------------------------------------------------------------
20+
21+
# importing the library named as heapq for the implementation of the huffman tree.
22+
import heapq
23+
24+
# class node defined as the back bone of the node class
25+
class node:
26+
def __init__(self, freq, symbol, left=None, right=None):
27+
# frequency of symbol
28+
self.freq = freq
29+
30+
# symbol name (character)
31+
self.symbol = symbol
32+
33+
# node left of current node
34+
self.left = left
35+
36+
# node right of current node
37+
self.right = right
38+
39+
# tree direction (0/1)
40+
self.huff = ''
41+
42+
def __lt__(self, nxt):
43+
return self.freq < nxt.freq
44+
45+
46+
# utility function to print huffman
47+
# codes for all symbols in the newly
48+
# created Huffman tree
49+
def printNodes(node, val=''):
50+
51+
# huffman code for current node
52+
newVal = val + str(node.huff)
53+
54+
# if node is not an edge node
55+
# then traverse inside it
56+
if(node.left):
57+
printNodes(node.left, newVal)
58+
if(node.right):
59+
printNodes(node.right, newVal)
60+
61+
# if node is edge node then
62+
# display its huffman code
63+
if(not node.left and not node.right):
64+
print(" {0} -> {1}".format(node.symbol, newVal))
65+
66+
67+
# characters for huffman tree
68+
chars = ['a', 'b', 'c', 'd', 'e', 'f']
69+
70+
# frequency of characters
71+
freq = [ 5, 9, 12, 13, 16, 45]
72+
73+
print ("-- Huffman Coding using Greedy Method --")
74+
print ()
75+
print ("Provided input for implementing the Huffman Tree...")
76+
print ("Characters Frequency")
77+
print ("---------------------------")
78+
for k in range (0, len(chars)):
79+
print (" {0} -> {1}".format(chars[k],freq[k]))
80+
print ()
81+
82+
83+
# list containing unused nodes
84+
nodes = []
85+
86+
# converting characters and frequencies
87+
# into huffman tree nodes
88+
for x in range(len(chars)):
89+
heapq.heappush(nodes, node(freq[x], chars[x]))
90+
91+
while len(nodes) > 1:
92+
93+
# sort all the nodes in ascending order
94+
# based on their frequency
95+
left = heapq.heappop(nodes)
96+
right = heapq.heappop(nodes)
97+
98+
# assign directional value to these nodes
99+
left.huff = 0
100+
right.huff = 1
101+
102+
# combine the 2 smallest nodes to create
103+
# new node as their parent
104+
newNode = node(left.freq+right.freq, left.symbol+right.symbol, left, right)
105+
106+
heapq.heappush(nodes, newNode)
107+
108+
# Huffman Tree is ready!
109+
print ("Creating Huffman Tree...\n")
110+
print ("Your Huffman Tree is ready! Here you go...")
111+
print ()
112+
print ("Characters Huffman Code")
113+
print ("-----------------------------")
114+
printNodes(nodes[0])
115+
116+
117+
# -----------------------------------------------------------------------------------------------
118+
119+
# Output:
120+
# -- Huffman Coding using Greedy Method --
121+
122+
# Provided input for implementing the Huffman Tree...
123+
# Characters Frequency
124+
# ---------------------------
125+
# a -> 5
126+
# b -> 9
127+
# c -> 12
128+
# d -> 13
129+
# e -> 16
130+
# f -> 45
131+
132+
# Creating Huffman Tree...
133+
134+
# Your Huffman Tree is ready! Here you go...
135+
136+
# Characters Huffman Code
137+
# -----------------------------
138+
# f -> 0
139+
# c -> 100
140+
# d -> 101
141+
# a -> 1100
142+
# b -> 1101
143+
# e -> 111
144+
145+
# -----------------------------------------------------------------------------------------------
146+
147+
# Code contributed by, Abhishek Sharma, 2022
148+
149+
# -----------------------------------------------------------------------------------------------

0 commit comments

Comments
 (0)