huffman code的问题,求大佬指点

在coursera上遇到的问题,描述如下:
In this programming problem and the next you'll code up the greedy algorithm from the lectures on Huffman coding.

Download the text file below.

huffman.txt
This file describes an instance of the problem. It has the following format:

[number_of_symbols]

[weight of symbol #1]

[weight of symbol #2]

...

For example, the third line of the file is "6852892," indicating that the weight of the second symbol of the alphabet is 6852892. (We're using weights instead of frequencies, like in the "A More Complex Example" video.)

Your task in this problem is to run the Huffman coding algorithm from lecture on this data set. What is the maximum length of a codeword in the resulting Huffman code?

ADVICE: If you're not getting the correct answer, try debugging your algorithm using some small test cases. And then post them to the discussionforum!

我找到的一个代码并进行修改,但有几个问题绕不过去:
1.huffman编码和对应的“数字”对应不上.........
2.不知道如何将huffman保存到数组里面来进行后面的运算;

求大佬指导一下

 # include <iostream>  
# include <fstream>  
# include <unordered_map>  
# include <sstream>  
# include <string>  
# include <cmath>  
# include <vector>  
#include <stdio.h>
#include <stdlib.h>

#include<algorithm>
using namespace std;

int weight[1000];
void in_file(string filename) {
    ifstream infile;
    infile.open(filename, ios::in);
    int i = 0;
    infile >> i;
    int j = 0;
    while (infile >> i) {
        weight[j] = i;
        j++;

    }
    infile.close();

}

// This constant can be avoided by explicitly calculating height of Huffman Tree
#define MAX_TREE_HT 1000

// A node of huffman tree
struct QueueNode
{
    int data;
    unsigned freq;
    struct QueueNode *left, *right;
};

// Structure for Queue: collection of Huffman Tree nodes (or QueueNodes)
struct Queue
{
    int front, rear;
    int capacity;
    struct QueueNode **array;
};

// A utility function to create a new Queuenode
struct QueueNode* newNode(int data, unsigned freq)
{
    struct QueueNode* temp =
        (struct QueueNode*) malloc(sizeof(struct QueueNode));
    temp->left = temp->right = NULL;
    temp->data = data;
    temp->freq = freq;
    return temp;
}

// A utility function to create a Queue of given capacity
struct Queue* createQueue(int capacity)
{
    struct Queue* queue = (struct Queue*) malloc(sizeof(struct Queue));
    queue->front = queue->rear = -1;
    queue->capacity = capacity;
    queue->array =
        (struct QueueNode**) malloc(queue->capacity * sizeof(struct QueueNode*));
    return queue;
}

// A utility function to check if size of given queue is 1
int isSizeOne(struct Queue* queue)
{
    return queue->front == queue->rear && queue->front != -1;
}

// A utility function to check if given queue is empty
int isEmpty(struct Queue* queue)
{
    return queue->front == -1;
}

// A utility function to check if given queue is full
int isFull(struct Queue* queue)
{
    return queue->rear == queue->capacity - 1;
}

// A utility function to add an item to queue
void enQueue(struct Queue* queue, struct 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
struct QueueNode* deQueue(struct Queue* queue)
{
    if (isEmpty(queue))
        return NULL;
    struct QueueNode* temp = queue->array[queue->front];
    if (queue->front == queue->rear)  // If there is only one item in queue
        queue->front = queue->rear = -1;
    else
        ++queue->front;
    return temp;
}

// A utility function to get from of queue
struct QueueNode* getFront(struct Queue* queue)
{
    if (isEmpty(queue))
        return NULL;
    return queue->array[queue->front];
}

/* A function to get minimum item from two queues */
struct QueueNode* findMin(struct Queue* firstQueue, struct Queue* secondQueue)
{
    // Step 3.a: If second queue is empty, dequeue from first queue
    if (isEmpty(firstQueue))
        return deQueue(secondQueue);

    // Step 3.b: If first queue is empty, dequeue from second queue
    if (isEmpty(secondQueue))
        return deQueue(firstQueue);

    // Step 3.c:  Else, compare the front of two queues and dequeue minimum
    if (getFront(firstQueue)->freq < getFront(secondQueue)->freq)
        return deQueue(firstQueue);

    return deQueue(secondQueue);
}

// Utility function to check if this node is leaf
int isLeaf(struct 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)
    {
        printf("%d", arr[i]);
    }

    printf("\n");
}

// The main function that builds Huffman tree
struct QueueNode* buildHuffmanTree(int data[], int freq[], int size)
{
    struct QueueNode *left, *right, *top;

    // Step 1: Create two empty queues
    struct Queue* firstQueue = createQueue(size);
    struct 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 empty
    for (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 node
    while (!(isEmpty(firstQueue) && isSizeOne(secondQueue)))
    {
        // Step 3: Dequeue two nodes with the minimum frequency by examining
        // the front of both queues
        left = 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
int ssr[1000];
int a = 0;
void printCodes(struct QueueNode* root, int arr[], int top)
{
    // Assign 0 to left edge and recur
    if (root->left)
    {
        arr[top] = 0;
        printCodes(root->left, arr, top + 1);
    }

    // Assign 1 to right edge and recur
    if (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))
    {
        printf("%d: ", root->data);

        printArr(arr, top);
    }
}

// The main function that builds a Huffman Tree and print codes by traversing
// the built Huffman Tree
void HuffmanCodes(int data[], int freq[], int size)
{
    //  Construct Huffman Tree
    struct QueueNode* root = buildHuffmanTree(data, freq, size);

    // Print Huffman codes using the Huffman tree built above
    int arr[MAX_TREE_HT], top = 0;
    printCodes(root, arr, top);
}

// Driver program to test above functions
int main()
{
    in_file("C:\\Users\\St。Irving\\Desktop\\practice\\algorithms\\huffman.txt");
    /*for (int k = 0; k <= 999; k++) {
        cout << weight[k] << endl;
    }*/
    int arr[1000];
    for (int m = 0; m < 1000; m++) {
        arr[m] = m;
    }

    int size = sizeof(arr) / sizeof(arr[0]);
    HuffmanCodes(arr, weight, size);
    int count=0;
    for (int n = 0; n < 1000; n++) {
        count += 1;
    }


    /*int arr[] = { 1,2,3,4,5,6 };
    int freq[] = { 5, 9, 12, 13, 16, 45 };
    int size = sizeof(arr) / sizeof(arr[0]);
    HuffmanCodes(arr, freq, size);*/
    return 0;
}
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