java实现Haffman编码
Posted jiapeng
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1、先创建一个树节点类(泛型类),为了方便使用集合的排序方法,泛型类要实现泛型接口Comparable,代码如下
package com.hjp.huffman; /** * Created by JiaPeng on 2016/12/28. */ public class Node<T> implements Comparable<Node<T>> { private T data; private int weight; private Node<T> left; private Node<T> right; private String codeStr; public T getData() { return data; } public void setData(T data) { this.data = data; } public int getWeight() { return weight; } public void setWeight(int weight) { this.weight = weight; } public Node<T> getLeft() { return left; } public void setLeft(Node<T> left) { this.left = left; } public Node<T> getRight() { return right; } public void setRight(Node<T> right) { this.right = right; } public Node(T data, int weight) { this.data = data; this.weight = weight; } public String getCodeStr() { return codeStr; } public void setCodeStr(String codeStr) { this.codeStr = codeStr; } @Override public int compareTo(Node<T> o) { if (o.weight > this.weight) { return 1; } else if (o.weight < this.weight) { return -1; } return 0; } @Override public String toString() { return "data:" + this.data + ",weight:" + this.weight + "; "; } }
2、编写泛型静态方法,构造Haffman树及对树编码,代码如下
package com.hjp.huffman; import java.util.*; /** * Created by JiaPeng on 2016/12/28. */ public class HuffmanTree { public static <T> Node<T> createTree(List<Node<T>> nodes) { while (nodes.size() > 1) { int nodesLen = nodes.size(); Collections.sort(nodes); Node<T> left = nodes.get(nodesLen - 1); Node<T> right = nodes.get(nodesLen - 2); Node<T> parent = new Node<T>(null, left.getWeight() + right.getWeight()); parent.setLeft(left); parent.setRight(right); nodes.remove(left); nodes.remove(right); nodes.add(parent); } return nodes.get(0); } public static <T> List<Node<T>> breath(Node<T> root) { List<Node<T>> list = new ArrayList<Node<T>>(); Queue<Node<T>> queue = new LinkedList<Node<T>>(); queue.add(root); StringBuilder stringBuilder = new StringBuilder(); while (!queue.isEmpty()) { Node<T> pNode = queue.poll(); list.add(pNode); Node<T> leftNode = pNode.getLeft(); String codeStr = pNode.getCodeStr(); if (leftNode != null) { if (codeStr != null && !"".equals(codeStr)) { leftNode.setCodeStr(codeStr + "0"); } else { leftNode.setCodeStr("0"); } queue.add(leftNode); } Node<T> rightNode = pNode.getRight(); if (rightNode != null) { if (codeStr != null && !"".equals(codeStr)) { rightNode.setCodeStr(codeStr + "1"); } else { rightNode.setCodeStr("1"); } queue.add(rightNode); } } return list; } }
3、测试方法
package com.hjp.huffman; import com.hjp.data.JSONUtil; import java.util.ArrayList; import java.util.LinkedHashMap; import java.util.List; import java.util.Map; /** * Created by JiaPeng on 2016/12/28. */ public class testMain { public static void main(String[] args){ List<Node<String>> nodes = new ArrayList<Node<String>>(); nodes.add(new Node<String>("b", 5)); nodes.add(new Node<String>("a", 7)); nodes.add(new Node<String>("d", 2)); nodes.add(new Node<String>("c", 4)); Node<String> root = HuffmanTree.createTree(nodes); List<Node<String>> huffmanList=HuffmanTree.breath(root); Map<String,String> huffmanMap=new LinkedHashMap<String, String>(); for (int i = 0; i < huffmanList.size(); i++) { Node<String> curNode=huffmanList.get(i); if(curNode.getData()!=null){ huffmanMap.put(curNode.getData(),curNode.getCodeStr()); } } System.out.println(JSONUtil.toJson(huffmanMap)); } }
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