import java.util.Comparator; import java.util.Iterator; import java.util.LinkedList; import java.util.List; import java.util.Scanner; import java.util.Stack; /** * * @author Mayank Kumar (mk9440) */ /* Output : Enter number of distinct letters 6 Enter letters with its frequncy to encode Enter letter : a Enter frequncy : 45 Enter letter : b Enter frequncy : 13 Enter letter : c Enter frequncy : 12 Enter letter : d Enter frequncy : 16 Enter letter : e Enter frequncy : 9 Enter letter : f Enter frequncy : 5 Letter Encoded Form a 0 b 1 0 1 c 1 0 0 d 1 1 1 e 1 1 0 1 f 1 1 0 0 */ class Node{ String letr=""; int freq=0,data=0; Node left=null,right=null; } //A comparator class to sort list on the basis of their frequency class comp implements Comparator{ @Override public int compare(Node o1, Node o2) { if(o1.freq>o2.freq){return 1;} else if(o1.freq it=li.iterator(); while(it.hasNext()){Node n=it.next();System.out.print(n.freq+" ");}System.out.println(); } //Function for making tree (Huffman Tree) public static Node make_huffmann_tree(List li){ //Sorting list in increasing order of its letter frequency li.sort(new comp()); Node temp=null; Iterator it=li.iterator(); //System.out.println(li.size()); //Loop for making huffman tree till only single node remains in list while(true){ temp=new Node(); //a and b are Node which are to be combine to make its parent Node a=new Node(),b=new Node(); a=null;b=null; //checking if list is eligible for combining or not //here first assignment of it.next in a will always be true as list till end will //must have atleast one node a=(Node)it.next(); //Below condition is to check either list has 2nd node or not to combine //If this condition will be false, then it means construction of huffman tree is completed if(it.hasNext()){b=(Node)it.next();} //Combining first two smallest nodes in list to make its parent whose frequncy //will be equals to sum of frequency of these two nodes if(b!=null){ temp.freq=a.freq+b.freq;a.data=0;b.data=1;//assigining 0 and 1 to left and right nodes temp.left=a;temp.right=b; //after combing, removing first two nodes in list which are already combined li.remove(0);//removes first element which is now combined -step1 li.remove(0);//removes 2nd element which comes on 1st position after deleting first in step1 li.add(temp);//adding new combined node to list //print_list(li); //For visualizing each combination step } //Sorting after combining to again repeat above on sorted frequency list li.sort(new comp()); it=li.iterator();//resetting list pointer to first node (head/root of tree) if(li.size()==1){return (Node)it.next();} //base condition ,returning root of huffman tree } } //Function for finding path between root and given letter ch public static void dfs(Node n,String ch){ Stack st=new Stack(); // stack for storing path int freq=n.freq; // recording root freq to avoid it adding in path encoding find_path_and_encode(st,n,ch,freq); } //A simple utility function to print stack (Used for printing path) public static void print_path(Stack st){ for(int i=0;i st,Node root,String s,int f){ //Base condition if(root!= null){ if(root.freq!=f){st.push(root);} // avoiding root to add in path/encoding bits if(root.letr.equals(s)){print_path(st);return;} // Recursion stopping condition when path gets founded find_path_and_encode(st,root.left,s,f); find_path_and_encode(st,root.right,s,f); //Popping if path not found in right or left of this node,because we previously //pushed this node in taking a mindset that it might be in path st.pop(); } } public static void main(String args[]){ List li=new LinkedList<>(); Scanner in=new Scanner(System.in); System.out.println("Enter number of distinct letters "); int n=in.nextInt(); String s[]=new String[n]; System.out.print("Enter letters with its frequncy to encode\n"); for(int i=0;i