In: Computer Science
Read through "The Huffman Code" on page 415 of the book. Write a program to implement Huffman coding and decoding. It should do the following: Accept a text message, possibly of more than one line. Create a Huffman tree for this message. Create a code table. Encode the message into binary. Decode the message from binary back to text. in JAVA
solution:
given data:
JAVA
import java.util.HashMap;
import java.util.Map;
import java.util.PriorityQueue;
import java.util.Set;
import java.util.Map.*;
class HuffmanNode implements Comparable<HuffmanNode>
{
int frequency;
char data;
HuffmanNode left, right;
public int compareTo(HuffmanNode node) {
return frequency - node.frequency;
}
}
public class Solution
{
private static Map<Character, String> charPrefixHashMap = new
HashMap<>();
static HuffmanNode root;
public static void main(String[] args) {
String test = "This is a new
message";
System.out.println("Original Text =
"+test);
String s = encode(test);
decode(s);
}
private static HuffmanNode buildTree(Map<Character, Integer> freq) {
PriorityQueue<HuffmanNode>
priorityQueue = new PriorityQueue<>();
Set<Character> keySet =
freq.keySet();
for (Character c : keySet) {
HuffmanNode
huffmanNode = new HuffmanNode();
huffmanNode.data
= c;
huffmanNode.frequency = freq.get(c);
huffmanNode.left
= null;
huffmanNode.right = null;
priorityQueue.offer(huffmanNode);
}
assert priorityQueue.size() >
0;
while (priorityQueue.size() > 1) {
HuffmanNode x
= priorityQueue.peek();
priorityQueue.poll();
HuffmanNode y
= priorityQueue.peek();
priorityQueue.poll();
HuffmanNode sum = new HuffmanNode();
sum.frequency
= x.frequency + y.frequency;
sum.data =
'-';
sum.left = x;
sum.right =
y;
root = sum;
priorityQueue.offer(sum);
}
return
priorityQueue.poll();
}
private static void setPrefixCodes(HuffmanNode node,
StringBuilder prefix) {
if (node != null) {
if (node.left ==
null && node.right == null) {
charPrefixHashMap.put(node.data,
prefix.toString());
} else
{
prefix.append('0');
setPrefixCodes(node.left, prefix);
prefix.deleteCharAt(prefix.length() - 1);
prefix.append('1');
setPrefixCodes(node.right, prefix);
prefix.deleteCharAt(prefix.length() - 1);
}
}
}
private static String encode(String test) {
Map<Character, Integer> freq
= new HashMap<>();
for (int i = 0; i <
test.length(); i++) {
if
(!freq.containsKey(test.charAt(i))) {
freq.put(test.charAt(i), 0);
}
freq.put(test.charAt(i), freq.get(test.charAt(i)) + 1);
}
// System.out.println("Character
Frequency Map = " + freq);
System.out.println("Code Table");
freq.entrySet().forEach(entry->{
System.out.println(entry.getKey() + " ------------------- " +
entry.getValue());
});
root = buildTree(freq);
setPrefixCodes(root, new
StringBuilder());
System.out.println("Character
Prefix Map = " + charPrefixHashMap);
StringBuilder s = new
StringBuilder();
for (int i = 0; i <
test.length(); i++) {
char c =
test.charAt(i);
s.append(charPrefixHashMap.get(c));
}
return s.toString();
}
private static void decode(String s) {
StringBuilder stringBuilder = new StringBuilder();
HuffmanNode temp = root;
System.out.println("Encoded: " + s);
for (int i = 0; i <
s.length(); i++) {
int j =
Integer.parseInt(String.valueOf(s.charAt(i)));
if (j == 0)
{
temp = temp.left;
if (temp.left == null && temp.right ==
null) {
stringBuilder.append(temp.data);
temp = root;
}
}
if (j == 1)
{
temp = temp.right;
if (temp.left == null && temp.right ==
null) {
stringBuilder.append(temp.data);
temp = root;
}
}
}
System.out.println("Decoded string is : " + stringBuilder.toString());
}
}
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