Java implementation of haverman coding and anti coding instance sharing of haverman algorithm

  • 2020-04-01 02:46:51
  • OfStack


//Implementation class for haverman coding
public class HffmanCoding {
    private int charsAndWeight[][];//[][0] is the character, [][1] is the weight of the character.
    private int hfmcoding[][];//Store haverman trees
    private int i = 0;//Loop variables
    private String hcs[];
    public HffmanCoding(int[][] chars) {
        //The TODO constructor
        charsAndWeight = new int[chars.length][2];
        charsAndWeight = chars;
        hfmcoding = new int[2 * chars.length - 1][4];//Allocate space for the haverman tree
    }
    //Implementation of the haverman tree
    public void coding() {
        int n = charsAndWeight.length;
        if (n == 0)
            return;
        int m = 2 * n - 1;
        //Initialize the haverman tree
        for (i = 0; i < n; i++) {
            hfmcoding[i][0] = charsAndWeight[i][1];//Initialize the haverman tree A weight 
            hfmcoding[i][1] = 0;//Initialize the haverman tree The root node 
            hfmcoding[i][2] = 0;//Initialize the haverman tree The left child 
            hfmcoding[i][3] = 0;//Initialize the haverman tree The right child 
        }
        for (i = n; i < m; i++) {
            hfmcoding[i][0] = 0;//Initialize the haverman tree A weight 
            hfmcoding[i][1] = 0;//Initialize the haverman tree The root node 
            hfmcoding[i][2] = 0;//Initialize the haverman tree The left child 
            hfmcoding[i][3] = 0;//Initialize the haverman tree The right child 
        }
        //Construct a haverman tree
        for (i = n; i < m; i++) {
            int s1[] = select(i);//Find the smallest weight node with zero parents in the haverman tree
            hfmcoding[s1[0]][1] = i;//Pay both parents for the haverman minimum
            hfmcoding[s1[1]][1] = i;
            hfmcoding[i][2] = s1[0];//Left child of the new node
            hfmcoding[i][3] = s1[1];//The right child of the new node
            hfmcoding[i][0] = hfmcoding[s1[0]][0] + hfmcoding[s1[1]][0];//The weight of the new node is the sum of the weights of the left and right children
        }
    }
    //Find the node with the smallest weight with zero parents
    private int[] select(int w) {
        // TODO Auto-generated method stub
        int s[] = { -1, -1 }, j = 0;//Sequence number of node with minimum weight s1 and zero parents, I is the loop variable
        int min1 = 32767, min2 = 32767;
        for (j = 0; j < w; j++) {
            if (hfmcoding[j][1] == 0) {//Only look for nodes where a binary tree has not yet been constructed (nodes with zero parents)
                if (hfmcoding[j][0] < min1) {
                    min2 = min1;
                    s[1] = s[0];
                    min1 = hfmcoding[j][0];
                    s[0] = j;
                } else if (hfmcoding[j][0] < min2) {
                    min2 = hfmcoding[j][0];
                    s[1] = j;
                }
            }
        }
        return s;
    }
    public String[] CreateHCode() {//Find the Huffman code according to the Huffman tree
        int n = charsAndWeight.length;
        int i, f, c;
        String hcodeString = "";
        hcs = new String[n];
        for (i = 0; i < n; i++) {//Find the Huffman code according to the Huffman tree
            c = i;
            hcodeString = "";
            f = hfmcoding[i][1]; //F the root node of the haverman tree
            while (f != 0) {//Go down to the root
                if (hfmcoding[f][2] == c) {//Handle the left child node
                    hcodeString += "0";
                } else {
                    hcodeString += "1";
                }
                c = f;
                f = hfmcoding[f][1];
            }
            hcs[i] = new String(new StringBuffer(hcodeString).reverse());
        }
        return hcs;
    }
    public String show(String s) {//Encodes the string display
        String textString = "";
        char c[];
        int k = -1;
        c = new char[s.length()];
        c = s.toCharArray();//Converts a string to an array of characters
        for (int i = 0; i < c.length; i++) {
            k = c[i];
            for (int j = 0; j < charsAndWeight.length; j++)
                if (k == charsAndWeight[j][0])
                    textString += hcs[j];
        }
        return textString;
    }
    //Haverman code decompilation
    public String reCoding(String s) {
        String text = "";//Stores decompiled characters
        int k = 0, m = hfmcoding.length - 1;//Start the query at the root node
        char c[];
        c = new char[s.length()];
        c = s.toCharArray();
        k = m;
        for (int i = 0; i < c.length; i++) {
            if (c[i] == '0') {
                k = hfmcoding[k][2];//The value of k is the ordinal number of the left child of the root node
                if (hfmcoding[k][2] == 0 && hfmcoding[k][3] == 0)//Determine whether the leaf node, condition (left and right children are zero)
                {
                    text += (char) charsAndWeight[k][0];
                    k = m;
                }
            }
            if (c[i] == '1') {
                k = hfmcoding[k][3];//The value of k is the ordinal number of the right child of the root node
                if (hfmcoding[k][2] == 0 && hfmcoding[k][3] == 0)//Determine whether the leaf node, condition (left and right children are zero)
                {
                    text += (char) charsAndWeight[k][0];
                    k = m;
                }
            }
        }
        return text;
    }
}


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