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huffmanCoding.c
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huffmanCoding.c
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#include <stdio.h>
#include <stdlib.h>
#define MAX_TREE_HT 100
// Huffman tree node
struct huffmanNode
{
// input characters
char data;
// character frequency
unsigned freq;
// Left and right child
struct huffmanNode *left, *right;
};
// min heap
struct MinHeap
{
// min heap tree size
unsigned size;
// min heap capacity
unsigned capacity;
// minheap node pointers' array
struct huffmanNode **array;
};
// allocate new min heap node
struct huffmanNode *newNode(char data, unsigned freq)
{
struct huffmanNode *temp = (struct huffmanNode *)malloc(sizeof(struct huffmanNode));
temp->left = temp->right = NULL;
temp->data = data;
temp->freq = freq;
return temp;
}
// create min heap
struct MinHeap *createMinHeap(unsigned capacity)
{
struct MinHeap *minHeap = (struct MinHeap *)malloc(sizeof(struct MinHeap));
// current size = 0
minHeap->size = 0;
minHeap->capacity = capacity;
minHeap->array = (struct huffmanNode **)malloc(minHeap->capacity * sizeof(struct huffmanNode *));
return minHeap;
}
// swap two min heap nodes
void swaphuffmanNode(struct huffmanNode **a,
struct huffmanNode **b)
{
struct huffmanNode *t = *a;
*a = *b;
*b = t;
}
// min heapify function.
void minHeapify(struct MinHeap *minHeap, int idx)
{
int smallest = idx;
int left = 2 * idx + 1;
int right = 2 * idx + 2;
if (left < minHeap->size && minHeap->array[left]->freq < minHeap->array[smallest]->freq)
smallest = left;
if (right < minHeap->size && minHeap->array[right]->freq < minHeap->array[smallest]->freq)
smallest = right;
if (smallest != idx)
{
swaphuffmanNode(&minHeap->array[smallest], &minHeap->array[idx]);
minHeapify(minHeap, smallest);
}
}
// check size of heap
int isSizeOne(struct MinHeap *minHeap)
{
return (minHeap->size == 1);
}
// extract minimum value node from heap
struct huffmanNode *extractMin(struct MinHeap *minHeap)
{
struct huffmanNode *temp = minHeap->array[0];
minHeap->array[0] = minHeap->array[minHeap->size - 1];
--minHeap->size;
minHeapify(minHeap, 0);
return temp;
}
// insert a new node to Min Heap
void insertMinHeap(struct MinHeap *minHeap, struct huffmanNode *huffmanNode)
{
++minHeap->size;
int i = minHeap->size - 1;
while (i && huffmanNode->freq < minHeap->array[(i - 1) / 2]->freq)
{
minHeap->array[i] = minHeap->array[(i - 1) / 2];
i = (i - 1) / 2;
}
minHeap->array[i] = huffmanNode;
}
// build min heap
void buildMinHeap(struct MinHeap *minHeap)
{
int n = minHeap->size - 1;
int i;
for (i = (n - 1) / 2; i >= 0; --i)
minHeapify(minHeap, i);
}
void printArr(int arr[], int n)
{
int i;
for (i = 0; i < n; ++i) printf("%d", arr[i]);
printf("\n");
}
// check if this node is leaf
int isLeaf(struct huffmanNode *root)
{
return !(root->left) && !(root->right);
}
// Creates a min heap
struct MinHeap *createAndBuildMinHeap(char data[], int freq[], int size)
{
struct MinHeap *minHeap = createMinHeap(size);
for (int i = 0; i < size; ++i)
minHeap->array[i] = newNode(data[i], freq[i]);
minHeap->size = size;
buildMinHeap(minHeap);
return minHeap;
}
// function builds huffman tree
struct huffmanNode *buildHuffmanTree(char data[], int freq[], int size)
{
struct huffmanNode *left, *right, *top;
// create a min heap of capacity
struct MinHeap *minHeap = createAndBuildMinHeap(data, freq, size);
while (!isSizeOne(minHeap))
{
// extract the two minimum freq items from min heap
left = extractMin(minHeap);
right = extractMin(minHeap);
// create a new internal node with frequency equal to the sum of the two nodes frequencies
top = newNode('$', left->freq + right->freq);
top->left = left;
top->right = right;
insertMinHeap(minHeap, top);
}
return extractMin(minHeap);
}
// print huffman codes
void printCodes(struct huffmanNode *root, int arr[], int top)
{
// assign 0 to left edge and recur
if (root->left)
{
arr[top] = 0;
printCodes(root->left, arr, top + 1);
}
// assign 1 to right edge and recur
if (root->right)
{
arr[top] = 1;
printCodes(root->right, arr, top + 1);
}
if (isLeaf(root))
{
printf("%c: ", root->data);
printArr(arr, top);
}
}
// build and traverse huffman tree
void HuffmanCodes(char data[], int freq[], int size)
{
// construct huffman tree
struct huffmanNode *root = buildHuffmanTree(data, freq, size);
int arr[MAX_TREE_HT], top = 0;
printCodes(root, arr, top);
}
// Driver code
int main()
{
char arr[] = {'a', 'b', 'c', 'd', 'e', 'f'};
int freq[] = {5, 9, 12, 13, 16, 45};
int size = sizeof(arr) / sizeof(arr[0]);
HuffmanCodes(arr, freq, size);
return 0;
}