用c语言写一段Huffman编码程序
时间: 2023-12-03 14:01:50 浏览: 59
C语言实现的基于Huffman哈夫曼编码的数据压缩与解压缩.7z
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好的,这里是一段基于C语言实现的Huffman编码程序的示例代码:
```
#include <stdio.h>
#include <stdlib.h>
#define MAX_TREE_HT 100
struct MinHeapNode {
char data;
unsigned freq;
struct MinHeapNode *left, *right;
};
struct MinHeap {
unsigned size;
unsigned capacity;
struct MinHeapNode **array;
};
struct MinHeapNode* newNode(char data, unsigned freq) {
struct MinHeapNode* node = (struct MinHeapNode*)malloc(sizeof(struct MinHeapNode));
node->left = node->right = NULL;
node->data = data;
node->freq = freq;
return node;
}
struct MinHeap* createMinHeap(unsigned capacity) {
struct MinHeap* minHeap = (struct MinHeap*)malloc(sizeof(struct MinHeap));
minHeap->size = 0;
minHeap->capacity = capacity;
minHeap->array = (struct MinHeapNode**)malloc(minHeap->capacity * sizeof(struct MinHeapNode*));
return minHeap;
}
void swapMinHeapNode(struct MinHeapNode** a, struct MinHeapNode** b) {
struct MinHeapNode *t = *a;
*a = *b;
*b = t;
}
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) {
swapMinHeapNode(&minHeap->array[smallest], &minHeap->array[idx]);
minHeapify(minHeap, smallest);
}
}
int isSizeOne(struct MinHeap* minHeap) {
return (minHeap->size == 1);
}
struct MinHeapNode* extractMin(struct MinHeap* minHeap) {
struct MinHeapNode* temp = minHeap->array[0];
minHeap->array[0] = minHeap->array[minHeap->size - 1];
--minHeap->size;
minHeapify(minHeap, 0);
return temp;
}
void insertMinHeap(struct MinHeap* minHeap, struct MinHeapNode* minHeapNode) {
++minHeap->size;
int i = minHeap->size - 1;
while (i && minHeapNode->freq < minHeap->array[(i - 1) / 2]->freq) {
minHeap->array[i] = minHeap->array[(i - 1) / 2];
i = (i - 1) / 2;
}
minHeap->array[i] = minHeapNode;
}
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");
}
int isLeaf(struct MinHeapNode* root) {
return !(root->left) && !(root->right);
}
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;
}
struct MinHeapNode* buildHuffmanTree(char data[], int freq[], int size) {
struct MinHeapNode *left, *right, *top;
struct MinHeap* minHeap = createAndBuildMinHeap(data, freq, size);
while (!isSizeOne(minHeap)) {
left = extractMin(minHeap);
right = extractMin(minHeap);
top = newNode('$', left->freq + right->freq);
top->left = left;
top->right = right;
insertMinHeap(minHeap, top);
}
return extractMin(minHeap);
}
void printCodes(struct MinHeapNode* root, int arr[], int top) {
if (root->left) {
arr[top] = 0;
printCodes(root->left, arr, top + 1);
}
if (root->right) {
arr[top] = 1;
printCodes(root->right, arr, top + 1);
}
if (isLeaf(root)) {
printf("%c: ", root->data);
printArr(arr, top);
}
}
void HuffmanCodes(char data[], int freq[], int size) {
struct MinHeapNode* root = buildHuffmanTree(data, freq, size);
int arr[MAX_TREE_HT], top = 0;
printCodes(root, arr, top);
}
int main() {
char data[] = {'a', 'b', 'c', 'd', 'e', 'f'};
int freq[] = {5, 9, 12, 13, 16, 45};
int size = sizeof(data) / sizeof(data[0]);
HuffmanCodes(data, freq, size);
return 0;
}
```
这段代码包含三个主要部分:
1. Huffman编码的数据结构定义及相关操作:通过 `MinHeapNode`、`MinHeap`、`newNode()`、`createMinHeap()`、`swapMinHeapNode()` 等定义及操作实现了最小堆的数据结构,并且通过 `buildHuffmanTree()` 进行了哈夫曼树的构建。
2. 哈夫曼编码的定义及相关操作:通过 `isLeaf()`、`printCodes()` 等定义及操作实现了哈夫曼编码的操作过程。
3. 主程序:通过给定的数据,调用了 `HuffmanCodes()` 进行了哈夫曼编码。
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