数据结构编程——Huffman Coding

数据结构编程题:哈夫曼编码
【问题描述】

符号ABCDE
计数157665
概率0.384615380.179487180.153846150.153846150.12820513
符号ABCDE
代码0100101110111

【输入形式】
5
15 7 6 6 5
【输出形式】
0
100
101
110
111
【注】这题我采用C语言来实现

代码如下:

#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#define MAX_TREE_NODES 100

typedef struct HuffmanNode {
    char data;
    int freq;
    int index;  // 添加索引字段来记录原始顺序
    struct HuffmanNode *left, *right;
} HuffmanNode;

typedef struct {
    int size;
    int capacity;
    HuffmanNode **array;
} MinHeap;

HuffmanNode* newNode(char data, int freq, int index) {
    HuffmanNode* node = (HuffmanNode*)malloc(sizeof(HuffmanNode));
    node->data = data;
    node->freq = freq;
    node->index = index;  // 设置索引
    node->left = node->right = NULL;
    return node;
}

MinHeap* createMinHeap(int capacity) {
    MinHeap* minHeap = (MinHeap*)malloc(sizeof(MinHeap));
    minHeap->size = 0;
    minHeap->capacity = capacity;
    minHeap->array = (HuffmanNode**)malloc(capacity * sizeof(HuffmanNode*));
    return minHeap;
}

void swapHuffmanNode(HuffmanNode** a, HuffmanNode** b) {
    HuffmanNode* t = *a;
    *a = *b;
    *b = t;
}

void minHeapify(MinHeap* minHeap, int idx) {
    int smallest = idx;
    int left = 2 * idx + 1;
    int right = 2 * idx + 2;

    if (left < minHeap->size) {
        if (minHeap->array[left]->freq < minHeap->array[smallest]->freq ||
            (minHeap->array[left]->freq == minHeap->array[smallest]->freq && 
             minHeap->array[left]->index < minHeap->array[smallest]->index))
            smallest = left;
    }

    if (right < minHeap->size) {
        if (minHeap->array[right]->freq < minHeap->array[smallest]->freq ||
            (minHeap->array[right]->freq == minHeap->array[smallest]->freq && 
             minHeap->array[right]->index < minHeap->array[smallest]->index))
            smallest = right;
    }

    if (smallest != idx) {
        swapHuffmanNode(&minHeap->array[smallest], &minHeap->array[idx]);
        minHeapify(minHeap, smallest);
    }
}

int isSizeOne(MinHeap* minHeap) {
    return minHeap->size == 1;
}

HuffmanNode* extractMin(MinHeap* minHeap) {
    HuffmanNode* temp = minHeap->array[0];
    minHeap->array[0] = minHeap->array[minHeap->size - 1];
    --minHeap->size;
    minHeapify(minHeap, 0);
    return temp;
}

void insertMinHeap(MinHeap* minHeap, HuffmanNode* node) {
    ++minHeap->size;
    int i = minHeap->size - 1;
    while (i && (node->freq < minHeap->array[(i - 1) / 2]->freq ||
                (node->freq == minHeap->array[(i - 1) / 2]->freq && 
                 node->index < minHeap->array[(i - 1) / 2]->index))) {
        minHeap->array[i] = minHeap->array[(i - 1) / 2];
        i = (i - 1) / 2;
    }
    minHeap->array[i] = node;
}

int isLeaf(HuffmanNode* root) {
    return!(root->left) &&!(root->right);
}

MinHeap* createAndBuildMinHeap(char data[], int freq[], int size) {
    MinHeap* minHeap = createMinHeap(size);
    for (int i = 0; i < size; ++i)
        minHeap->array[i] = newNode(data[i], freq[i], i);
    minHeap->size = size;
    int i;
    for (i = (size - 2) / 2; i >= 0; --i)
        minHeapify(minHeap, i);
    return minHeap;
}

HuffmanNode* buildHuffmanTree(char data[], int freq[], int size) {
    HuffmanNode *left, *right, *top;
    MinHeap* minHeap = createAndBuildMinHeap(data, freq, size);

    while (!isSizeOne(minHeap)) {
        left = extractMin(minHeap);
        right = extractMin(minHeap);
        top = newNode('$', left->freq + right->freq, -1);  // 内部节点索引设为-1

        // 频率小的节点作为左子节点,频率相同时索引小的作为左子节点
        if (left->freq < right->freq || 
            (left->freq == right->freq && left->index < right->index)) {
            top->left = left;
            top->right = right;
        } else {
            top->left = right;
            top->right = left;
        }
        insertMinHeap(minHeap, top);
    }
    return extractMin(minHeap);
}

void storeCodes(HuffmanNode* root, int arr[], int top, char** codes, char data[], int size) {
    if (root->left) {
        arr[top] = 0;
        storeCodes(root->left, arr, top + 1, codes, data, size);
    }
    if (root->right) {
        arr[top] = 1;
        storeCodes(root->right, arr, top + 1, codes, data, size);
    }
    if (isLeaf(root)) {
        int index = 0;
        while (index < size && data[index] != root->data) index++;
        codes[index] = (char*)malloc((top + 1) * sizeof(char));
        for (int i = 0; i < top; i++) {
            codes[index][i] = arr[i] + '0';
        }
        codes[index][top] = '\0';
    }
}

void HuffmanCodes(char data[], int freq[], int size) {
    HuffmanNode* root = buildHuffmanTree(data, freq, size);
    int arr[MAX_TREE_NODES], top = 0;
    char* codes[MAX_TREE_NODES];

    storeCodes(root, arr, top, codes, data, size);

    for (int i = 0; i < size; i++) {
        printf("%s\n", codes[i]);
        free(codes[i]);
    }
}

int main() {
    int n;
    scanf("%d", &n);
    char data[MAX_TREE_NODES];
    int freq[MAX_TREE_NODES];
    for (int i = 0; i < n; i++) {
        data[i] = 'A' + i;
    }
    for (int i = 0; i < n; i++) {
        scanf("%d", &freq[i]);
    }
    HuffmanCodes(data, freq, n);
    return 0;
}

结果如下:
在这里插入图片描述

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