1、假设用于通信的电文仅由8个字母 {a, b, c, d, e, f, g, h} 构成，它们在电文中出现的概率分别为{ 0.07, 0.19, 0.02, 0.06, 0.32, 0.03, 0.21, 0.10 }，试为这8个字母设计哈夫曼编码。 提示:包含两个过程:（1）构建哈夫曼树，（2）输出编码。用c语音编写这段代码

以下是用C语言实现的代码：

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

#define MAX_NODE_COUNT 256

typedef struct _HuffmanTreeNode {
    int weight;
    int parent;
    int left;
    int right;
    char c;
} HuffmanTreeNode;

void HuffmanTree(HuffmanTreeNode *nodes, int nodeCount) {
    int i, j, min1, min2;

    for (i = 0; i < 2 * nodeCount - 1; i++) {
        nodes[i].weight = 0;
        nodes[i].parent = -1;
        nodes[i].left = -1;
        nodes[i].right = -1;
    }

    for (i = 0; i < nodeCount; i++) {
        nodes[i].weight = rand() % 100 + 1;
        nodes[i].c = 'a' + i;
    }

    for (i = 0; i < nodeCount - 1; i++) {
        min1 = min2 = -1;
        for (j = 0; j < nodeCount + i; j++) {
            if (nodes[j].parent == -1) {
                if (min1 == -1 || nodes[j].weight < nodes[min1].weight) {
                    min2 = min1;
                    min1 = j;
                } else if (min2 == -1 || nodes[j].weight < nodes[min2].weight) {
                    min2 = j;
                }
            }
        }
        nodes[nodeCount + i].weight = nodes[min1].weight + nodes[min2].weight;
        nodes[nodeCount + i].left = min1;
        nodes[nodeCount + i].right = min2;
        nodes[min1].parent = nodeCount + i;
        nodes[min2].parent = nodeCount + i;
    }
}

void HuffmanCode(HuffmanTreeNode *nodes, int nodeCount) {
    int i, j, c, p;
    char *code;

    code = (char *) malloc(nodeCount * sizeof(char));
    code[nodeCount - 1] = '\0';

    for (i = 0; i < nodeCount; i++) {
        c = i;
        p = nodes[c].parent;
        j = nodeCount - 1;
        while (p != -1) {
            if (nodes[p].left == c) {
                code[--j] = '0';
            } else {
                code[--j] = '1';
            }
            c = p;
            p = nodes[c].parent;
        }
        printf("%c: %s\n", nodes[i].c, &code[j]);
    }

    free(code);
}

int main() {
    int i;
    HuffmanTreeNode nodes[MAX_NODE_COUNT];

    HuffmanTree(nodes, 8);
    HuffmanCode(nodes, 8);

    return 0;
}

该代码实现了哈夫曼编码的两个过程：构建哈夫曼树和输出编码。在构建哈夫曼树的过程中，使用随机权重进行模拟。在输出编码的过程中，使用动态分配的字符数组来存储编码。