做区域链的网站客厅装修风格

// C++ Program for Efficient Huffman Coding for Sorted input
#include <bits/stdc++.h>
using namespace std;// This constant can be avoided by explicitly
// calculating height of Huffman Tree
#define MAX_TREE_HT 100// A node of huffman tree
class QueueNode {
public:char data;unsigned freq;QueueNode *left, *right;
};// Structure for Queue: collection
// of Huffman Tree nodes (or QueueNodes)
class Queue {
public:int front, rear;int capacity;QueueNode** array;
};// A utility function to create a new Queuenode
QueueNode* newNode(char data, unsigned freq)
{QueueNode* temp = new QueueNode[(sizeof(QueueNode))];temp->left = temp->right = NULL;temp->data = data;temp->freq = freq;return temp;
}// A utility function to create a Queue of given capacity
Queue* createQueue(int capacity)
{Queue* queue = new Queue[(sizeof(Queue))];queue->front = queue->rear = -1;queue->capacity = capacity;queue->array = new QueueNode*[(queue->capacity* sizeof(QueueNode*))];return queue;
}// A utility function to check if size of given queue is 1
int isSizeOne(Queue* queue)
{return queue->front == queue->rear&& queue->front != -1;
}// A utility function to check if given queue is empty
int isEmpty(Queue* queue) { return queue->front == -1; }// A utility function to check if given queue is full
int isFull(Queue* queue)
{return queue->rear == queue->capacity - 1;
}// A utility function to add an item to queue
void enQueue(Queue* queue, QueueNode* item)
{if (isFull(queue))return;queue->array[++queue->rear] = item;if (queue->front == -1)++queue->front;
}// A utility function to remove an item from queue
QueueNode* deQueue(Queue* queue)
{if (isEmpty(queue))return NULL;QueueNode* temp = queue->array[queue->front];if (queue->front== queue->rear) // If there is only one item in queuequeue->front = queue->rear = -1;else++queue->front;return temp;
}// A utility function to get from of queue
QueueNode* getFront(Queue* queue)
{if (isEmpty(queue))return NULL;return queue->array[queue->front];
}/* A function to get minimum item from two queues */
QueueNode* findMin(Queue* firstQueue, Queue* secondQueue)
{// Step 3.a: If first queue is empty, dequeue from// second queueif (isEmpty(firstQueue))return deQueue(secondQueue);// Step 3.b: If second queue is empty, dequeue from// first queueif (isEmpty(secondQueue))return deQueue(firstQueue);// Step 3.c: Else, compare the front of two queues and// dequeue minimumif (getFront(firstQueue)->freq< getFront(secondQueue)->freq)return deQueue(firstQueue);return deQueue(secondQueue);
}// Utility function to check if this node is leaf
int isLeaf(QueueNode* root)
{return !(root->left) && !(root->right);
}// A utility function to print an array of size n
void printArr(int arr[], int n)
{int i;for (i = 0; i < n; ++i)cout << arr[i];cout << endl;
}// The main function that builds Huffman tree
QueueNode* buildHuffmanTree(char data[], int freq[],int size)
{QueueNode *left, *right, *top;// Step 1: Create two empty queuesQueue* firstQueue = createQueue(size);Queue* secondQueue = createQueue(size);// Step 2:Create a leaf node for each unique character// and Enqueue it to the first queue in non-decreasing// order of frequency. Initially second queue is emptyfor (int i = 0; i < size; ++i)enQueue(firstQueue, newNode(data[i], freq[i]));// Run while Queues contain more than one node. Finally,// first queue will be empty and second queue will// contain only one nodewhile (!(isEmpty(firstQueue) && isSizeOne(secondQueue))) {// Step 3: Dequeue two nodes with the minimum// frequency by examining the front of both queuesleft = findMin(firstQueue, secondQueue);right = findMin(firstQueue, secondQueue);// Step 4: Create a new internal node with frequency// equal to the sum of the two nodes frequencies.// Enqueue this node to second queue.top = newNode('$', left->freq + right->freq);top->left = left;top->right = right;enQueue(secondQueue, top);}return deQueue(secondQueue);
}// Prints huffman codes from the root of Huffman Tree. It
// uses arr[] to store codes
void printCodes(QueueNode* root, int arr[], int top)
{// Assign 0 to left edge and recurif (root->left) {arr[top] = 0;printCodes(root->left, arr, top + 1);}// Assign 1 to right edge and recurif (root->right) {arr[top] = 1;printCodes(root->right, arr, top + 1);}// If this is a leaf node, then it contains one of the// input characters, print the character and its code// from arr[]if (isLeaf(root)) {cout << root->data << ": ";printArr(arr, top);}
}// The main function that builds a Huffman Tree and print
// codes by traversing the built Huffman Tree
void HuffmanCodes(char data[], int freq[], int size)
{// Construct Huffman TreeQueueNode* root = buildHuffmanTree(data, freq, size);// Print Huffman codes using the Huffman tree built// aboveint arr[MAX_TREE_HT], top = 0;printCodes(root, arr, top);
}// Driver code
int main()
{char arr[] = { 'a', 'b', 'c', 'd', 'e', 'f' };int freq[] = { 5, 9, 12, 13, 16, 45 };int size = sizeof(arr) / sizeof(arr[0]);HuffmanCodes(arr, freq, size);return 0;
}// This code is contributed by rathbhupendra