#include
#include
#include
#include
using namespace std;
// 哈夫曼树节点
struct Node {
char data;
int frequency;
Node* left;
Node* right;
Node(char data, int frequency) : data(data), frequency(frequency), left(nullptr), right(nullptr) {}
};
// 优先队列中的比较函数
struct CompareNodes {
bool operator()(Node* const& lhs, Node* const& rhs) {
return lhs->frequency > rhs->frequency;
}
};
// 生成哈夫曼树
Node* buildHuffmanTree(unordered_map
priority_queue
// 初始化优先队列
for (auto& entry : frequencies) {
minHeap.push(new Node(entry.first, entry.second));
}
// 构建哈夫曼树
while (minHeap.size() > 1) {
Node* left = minHeap.top();
minHeap.pop();
Node* right = minHeap.top();
minHeap.pop();
Node* internalNode = new Node('$', left->frequency + right->frequency);
internalNode->left = left;
internalNode->right = right;
minHeap.push(internalNode);
}
return minHeap.top();
}
// 生成哈夫曼编码表
void generateHuffmanCodes(Node* root, string code, unordered_map
if (!root)
return;
if (root->data != '$') {
huffmanCodes[root->data] = code;
}
generateHuffmanCodes(root->left, code + "0", huffmanCodes);
generateHuffmanCodes(root->right, code + "1", huffmanCodes);
}
int main() {
// 输入字符及其频率
unordered_map
{'a', 5},
{'b', 9},
{'c', 12},
{'d', 13},
{'e', 16},
{'f', 45}
};
// 构建哈夫曼树
Node* root = buildHuffmanTree(frequencies);
// 生成哈夫曼编码表
unordered_map
generateHuffmanCodes(root, "", huffmanCodes);
// 输出结果
cout << "Huffman Codes:\n";
for (const auto& entry : huffmanCodes) {
cout << entry.first << ": " << entry.second << '\n';
}
return 0;
}