Create a c++ program that uses huffman
Certainly! Below is a simple C++ program that demonstrates how to use Huffman coding for compression. The program includes the implementation of Huffman coding, which creates a binary tree based on the frequency of characters in the input data. It then generates a binary representation for each character and can encode and decode a given string.

```cpp
#include <iostream>
#include <queue>
#include <unordered_map>
#include <string>
#include <vector>
#include <bitset>

using namespace std;

// A tree node
struct Node {
    char character;
    int frequency;
    Node *left, *right;

    Node(char ch, int freq) : character(ch), frequency(freq), left(nullptr), right(nullptr) {}
};

// Comparator for priority queue
struct compare {
    bool operator()(Node* l, Node* r) {
        return l->frequency > r->frequency; // Min-heap based on frequency
    }
};

// Function to generate Huffman Codes
void generateHuffmanCodes(Node* root, string str, unordered_map<char, string>& huffmanCode) {
    if (!root) return;

    if (root->left == nullptr && root->right == nullptr) {
        huffmanCode[root->character] = str; // Leaf node
    }

    generateHuffmanCodes(root->left, str + "0", huffmanCode);
    generateHuffmanCodes(root->right, str + "1", huffmanCode);
}

// Function to build the Huffman Tree

  Sure! Here is a simple C++ program that uses Huffman coding to compress and decompress a string:

```
#include <iostream>
#include <string>
#include <cstdlib>
#include <cstring>

// Huffman coding constants
#define HUFFMAN_MAX_SYMBOLS 256
#define HUFFMAN_MAX_LEVELS 8

// Huffman coding structure
struct huffman_node {
    char symbol; // symbol represented by this node
    int frequency; // frequency of symbol
    struct huffman_node *left; // left child node
    struct huffman_node *right; // right child node
};

// Huffman coding function
void huffman_encode(std::string& message, huffman_node* root) {
    // base case: encode empty message
    if (message.size() == 0) {
        root->symbol = 0;
        return;
    }

    // traverse the tree to encode the message
    for (int i = 0; i < message.size(); i++) {
        // find the appropriate node in the tree
        huffman_node* current = root;
        for (int j = 0; j < HUFF