Java 平衡二叉树和AVL

 

　　与BST<> 进行对比

import java.util.ArrayList;
import java.util.Collections;

public class Main {

    public static void main(String[] args) {

        System.out.println("Pride and Prejudice");

        ArrayList<String> words = new ArrayList<>();
        if(FileOperation.readFile("pride-and-prejudice.txt", words)) {
            System.out.println("Total words: " + words.size());

            // Collections.sort(words);

            // Test BST
            long startTime = System.nanoTime();

            BST<String, Integer> bst = new BST<>();
            for (String word : words) {
                if (bst.contains(word))
                    bst.set(word, bst.get(word) + 1);
                else
                    bst.add(word, 1);
            }

            for(String word: words)
                bst.contains(word);

            long endTime = System.nanoTime();

            double time = (endTime - startTime) / 1000000000.0;
            System.out.println("BST: " + time + " s");


            // Test AVL Tree
            startTime = System.nanoTime();

            AVLTree<String, Integer> avl = new AVLTree<>();
            for (String word : words) {
                if (avl.contains(word))
                    avl.set(word, avl.get(word) + 1);
                else
                    avl.add(word, 1);
            }

            for(String word: words)
                avl.contains(word);

            endTime = System.nanoTime();

            time = (endTime - startTime) / 1000000000.0;
            System.out.println("AVL: " + time + " s");
        }

        System.out.println();
    }
}

import java.util.ArrayList;

public class AVLTree<K extends Comparable<K>, V> {

    private class Node{
        public K key;
        public V value;
        public Node left, right;
        public int height;

        public Node(K key, V value){
            this.key = key;
            this.value = value;
            left = null;
            right = null;
            height = 1;
        }
    }

    private Node root;
    private int size;

    public AVLTree(){
        root = null;
        size = 0;
    }

    public int getSize(){
        return size;
    }

    public boolean isEmpty(){
        return size == 0;
    }

    // 判断该二叉树是否是一棵二分搜索树
    public boolean isBST(){

        ArrayList<K> keys = new ArrayList<>();
        inOrder(root, keys);
        for(int i = 1 ; i < keys.size() ; i ++)
            if(keys.get(i - 1).compareTo(keys.get(i)) > 0)
                return false;
        return true;
    }

    private void inOrder(Node node, ArrayList<K> keys){

        if(node == null)
            return;

        inOrder(node.left, keys);
        keys.add(node.key);
        inOrder(node.right, keys);
    }

    // 判断该二叉树是否是一棵平衡二叉树
    public boolean isBalanced(){
        return isBalanced(root);
    }

    // 判断以Node为根的二叉树是否是一棵平衡二叉树，递归算法
    private boolean isBalanced(Node node){

        if(node == null)
            return true;

        int balanceFactor = getBalanceFactor(node);
        if(Math.abs(balanceFactor) > 1)
            return false;
        return isBalanced(node.left) && isBalanced(node.right);
    }

    // 获得节点node的高度
    private int getHeight(Node node){
        if(node == null)
            return 0;
        return node.height;
    }

    // 获得节点node的平衡因子
    private int getBalanceFactor(Node node){
        if(node == null)
            return 0;
        return getHeight(node.left) - getHeight(node.right);
    }

    // 对节点y进行向右旋转操作，返回旋转后新的根节点x
    //        y                              x
    //       /                            /   
    //      x   T4     向右旋转 (y)        z     y
    //     /        - - - - - - - ->    /    / 
    //    z   T3                       T1  T2 T3 T4
    //   / 
    // T1   T2
    private Node rightRotate(Node y) {
        Node x = y.left;
        Node T3 = x.right;

        // 向右旋转过程
        x.right = y;
        y.left = T3;

        // 更新height
        y.height = Math.max(getHeight(y.left), getHeight(y.right)) + 1;
        x.height = Math.max(getHeight(x.left), getHeight(x.right)) + 1;

        return x;
    }

    // 对节点y进行向左旋转操作，返回旋转后新的根节点x
    //    y                             x
    //  /                            /   
    // T1   x      向左旋转 (y)       y     z
    //     /    - - - - - - - ->   /    / 
    //   T2  z                     T1 T2 T3 T4
    //      / 
    //     T3 T4
    private Node leftRotate(Node y) {
        Node x = y.right;
        Node T2 = x.left;

        // 向左旋转过程
        x.left = y;
        y.right = T2;

        // 更新height
        y.height = Math.max(getHeight(y.left), getHeight(y.right)) + 1;
        x.height = Math.max(getHeight(x.left), getHeight(x.right)) + 1;

        return x;
    }

    // 向二分搜索树中添加新的元素(key, value)
    public void add(K key, V value){
        root = add(root, key, value);
    }

    // 向以node为根的二分搜索树中插入元素(key, value)，递归算法
    // 返回插入新节点后二分搜索树的根
    private Node add(Node node, K key, V value){

        if(node == null){
            size ++;
            return new Node(key, value);
        }

        if(key.compareTo(node.key) < 0)
            node.left = add(node.left, key, value);
        else if(key.compareTo(node.key) > 0)
            node.right = add(node.right, key, value);
        else // key.compareTo(node.key) == 0
            node.value = value;

        // 更新height
        node.height = 1 + Math.max(getHeight(node.left), getHeight(node.right));

        // 计算平衡因子
        int balanceFactor = getBalanceFactor(node);

        // 平衡维护
        // LL
        if (balanceFactor > 1 && getBalanceFactor(node.left) >= 0)
            return rightRotate(node);

        // RR
        if (balanceFactor < -1 && getBalanceFactor(node.right) <= 0)
            return leftRotate(node);

        // LR
        if (balanceFactor > 1 && getBalanceFactor(node.left) < 0) {
            node.left = leftRotate(node.left);
            return rightRotate(node);
        }

        // RL
        if (balanceFactor < -1 && getBalanceFactor(node.right) > 0) {
            node.right = rightRotate(node.right);
            return leftRotate(node);
        }

        return node;
    }

    // 返回以node为根节点的二分搜索树中，key所在的节点
    private Node getNode(Node node, K key){

        if(node == null)
            return null;

        if(key.equals(node.key))
            return node;
        else if(key.compareTo(node.key) < 0)
            return getNode(node.left, key);
        else // if(key.compareTo(node.key) > 0)
            return getNode(node.right, key);
    }

    public boolean contains(K key){
        return getNode(root, key) != null;
    }

    public V get(K key){

        Node node = getNode(root, key);
        return node == null ? null : node.value;
    }

    public void set(K key, V newValue){
        Node node = getNode(root, key);
        if(node == null)
            throw new IllegalArgumentException(key + " doesn't exist!");

        node.value = newValue;
    }

    // 返回以node为根的二分搜索树的最小值所在的节点
    private Node minimum(Node node){
        if(node.left == null)
            return node;
        return minimum(node.left);
    }

    // 从二分搜索树中删除键为key的节点
    public V remove(K key){

        Node node = getNode(root, key);
        if(node != null){
            root = remove(root, key);
            return node.value;
        }
        return null;
    }

    private Node remove(Node node, K key){

        if( node == null )
            return null;

        Node retNode;
        if( key.compareTo(node.key) < 0 ){
            node.left = remove(node.left , key);
            // return node;
            retNode = node;
        }
        else if(key.compareTo(node.key) > 0 ){
            node.right = remove(node.right, key);
            // return node;
            retNode = node;
        }
        else{   // key.compareTo(node.key) == 0

            // 待删除节点左子树为空的情况
            if(node.left == null){
                Node rightNode = node.right;
                node.right = null;
                size --;
                // return rightNode;
                retNode = rightNode;
            }

            // 待删除节点右子树为空的情况
            else if(node.right == null){
                Node leftNode = node.left;
                node.left = null;
                size --;
                // return leftNode;
                retNode = leftNode;
            }

            // 待删除节点左右子树均不为空的情况
            else{
                // 找到比待删除节点大的最小节点, 即待删除节点右子树的最小节点
                // 用这个节点顶替待删除节点的位置
                Node successor = minimum(node.right);
                //successor.right = removeMin(node.right);
                successor.right = remove(node.right, successor.key);
                successor.left = node.left;

                node.left = node.right = null;

                // return successor;
                retNode = successor;
            }
        }

        if(retNode == null)
            return null;

        // 更新height
        retNode.height = 1 + Math.max(getHeight(retNode.left), getHeight(retNode.right));

        // 计算平衡因子
        int balanceFactor = getBalanceFactor(retNode);

        // 平衡维护
        // LL
        if (balanceFactor > 1 && getBalanceFactor(retNode.left) >= 0)
            return rightRotate(retNode);

        // RR
        if (balanceFactor < -1 && getBalanceFactor(retNode.right) <= 0)
            return leftRotate(retNode);

        // LR
        if (balanceFactor > 1 && getBalanceFactor(retNode.left) < 0) {
            retNode.left = leftRotate(retNode.left);
            return rightRotate(retNode);
        }

        // RL
        if (balanceFactor < -1 && getBalanceFactor(retNode.right) > 0) {
            retNode.right = rightRotate(retNode.right);
            return leftRotate(retNode);
        }

        return retNode;
    }

}

　　

public int[] intersect(int[] nums1, int[] nums2) {

        AVLTree<Integer, Integer> map = new AVLTree<>();
        for(int num: nums1){
            if(!map.contains(num))
                map.add(num, 1);
            else
                map.add(num, map.get(num) + 1);
        }

        ArrayList<Integer> res = new ArrayList<>();
        for(int num: nums2){
            if(map.contains(num)){
                res.add(num);
                map.add(num, map.get(num) - 1);
                if(map.get(num) == 0)
                    map.remove(num);
            }
        }

        int[] ret = new int[res.size()];
        for(int i = 0 ; i < res.size() ; i ++)
            ret[i] = res.get(i);

        return ret;
    }

　

public int uniqueMorseRepresentations(String[] words) {

        String[] codes = {".-","-...","-.-.","-..",".","..-.","--.","....","..",".---","-.-",".-..","--","-.","---",".--.","--.-",".-.","...","-","..-","...-",".--","-..-","-.--","--.."};
        AVLTree<String, Object> set = new AVLTree<>();
        for(String word: words){
            StringBuilder res = new StringBuilder();
            for(int i = 0 ; i < word.length() ; i ++)
                res.append(codes[word.charAt(i) - 'a']);

            set.add(res.toString(), null);
        }

        return set.getSize();
    }

　　AvLMap：

public interface Map<K, V> {

    void add(K key, V value);
    boolean contains(K key);
    V get(K key);
    void set(K key, V newValue);
    V remove(K key);
    int getSize();
    boolean isEmpty();
}

　　

public class AVLMap<K extends Comparable<K>, V> implements Map<K, V> {

    private AVLTree<K, V> avl;

    public AVLMap(){
        avl = new AVLTree<>();
    }

    @Override
    public int getSize(){
        return avl.getSize();
    }

    @Override
    public boolean isEmpty(){
        return avl.isEmpty();
    }

    @Override
    public void add(K key, V value){
        avl.add(key, value);
    }

    @Override
    public boolean contains(K key){
        return avl.contains(key);
    }

    @Override
    public V get(K key){
        return avl.get(key);
    }

    @Override
    public void set(K key, V newValue){
        avl.set(key, newValue);
    }

    @Override
    public V remove(K key){
        return avl.remove(key);
    }
}

　　

public interface Set<E> {

    void add(E e);
    boolean contains(E e);
    void remove(E e);
    int getSize();
    boolean isEmpty();
}

　　

public class AVLSet<E extends Comparable<E>> implements Set<E> {

    private AVLTree<E, Object> avl;

    public AVLSet(){
        avl = new AVLTree<>();
    }

    @Override
    public int getSize(){
        return avl.getSize();
    }

    @Override
    public boolean isEmpty(){
        return avl.isEmpty();
    }

    @Override
    public void add(E e){
        avl.add(e, null);
    }

    @Override
    public boolean contains(E e){
        return avl.contains(e);
    }

    @Override
    public void remove(E e){
        avl.remove(e);
    }
}

　　

public int[] intersection(int[] nums1, int[] nums2) {

        AVLSet<Integer> set = new AVLSet<>();
        for(int num: nums1)
            set.add(num);

        ArrayList<Integer> list = new ArrayList<>();
        for(int num: nums2){
            if(set.contains(num)){
                list.add(num);
                set.remove(num);
            }
        }

        int[] res = new int[list.size()];
        for(int i = 0 ; i < list.size() ; i ++)
            res[i] = list.get(i);
        return res;
    }

　　

public int[] intersect(int[] nums1, int[] nums2) {

        AVLMap<Integer, Integer> map = new AVLMap<>();
        for(int num: nums1){
            if(!map.contains(num))
                map.add(num, 1);
            else
                map.add(num, map.get(num) + 1);
        }

        ArrayList<Integer> res = new ArrayList<>();
        for(int num: nums2){
            if(map.contains(num)){
                res.add(num);
                map.add(num, map.get(num) - 1);
                if(map.get(num) == 0)
                    map.remove(num);
            }
        }

        int[] ret = new int[res.size()];
        for(int i = 0 ; i < res.size() ; i ++)
            ret[i] = res.get(i);

        return ret;
    }