package com.atguigu.binarysorttree;
import java.util.concurrent.locks.ReentrantReadWriteLock;
public class BinarySortTreeDemo {
public static void main(String[] args) {
int[] arr = {7, 3, 10, 12, 5, 1, 9, 2};
BinarySortTree binarySortTree = new BinarySortTree();
//循环添加节点到二叉排序树
for (int i = 0; i < arr.length; i++) {
binarySortTree.add(new Node(arr[i]));
}
//中序遍历
System.out.println("中序遍历二叉排序树");
binarySortTree.infixOrder();//1,2, 3,5,7,9,10,12
// 测试删除叶子节点
binarySortTree.delNode(2);
binarySortTree.delNode(12);
//测试删除只有一颗子树的节点
binarySortTree.delNode(7);
binarySortTree.delNode(3);
binarySortTree.delNode(10);
binarySortTree.delNode(5);
binarySortTree.delNode(9);
binarySortTree.delNode(1);
System.out.println("root=" + binarySortTree.getRoot());
System.out.println("删除后:");
binarySortTree.infixOrder();
}
}
//创建二叉排序树
class BinarySortTree {
private Node root;
public Node getRoot() {
return root;
}
public int delRightTreeMin(Node node) {
Node target = node;
while (target.left != null) {
target = target.left;
}
//此时target指向最小节点
delNode(target.value);
return target.value;
}
//删除节点
public void delNode(int value) {
if (root == null) {
return;
} else {
//考虑单个节点的问题
if (root.left == null && root.right == null && root.value == value) {
root = null;
return;
}
//找到要删除的节点
Node targetNode = search(value);
if (targetNode == null) {//没有找到
return;
}
//找到要删除节点的父节点
Node parentNode = searchParent(value);
//此种写法要单独考虑父节点为空的情况
if (parentNode == null) {
//情况一:targetNode是叶子节点情况
if (targetNode.left == null && targetNode.right == null) {
root = null;
return;
}
//情况二:targetNode有两颗子树的情况
else if (targetNode.left != null && targetNode.right != null) {
int rightTreeMinValue = delRightTreeMin(targetNode.right);
targetNode.value = rightTreeMinValue;
return;
}
//情况三:targetNode有一颗子树情况
else {
if (targetNode.left != null) {
root = targetNode.left;
}
if (targetNode.right != null) {
root = targetNode.right;
}
return;
}
}
if (parentNode.left != null && parentNode.left.value == value) {//targetNode是父节点的左子节点
//情况一:targetNode是叶子节点情况
if (targetNode.left == null && targetNode.right == null) {
parentNode.left = null;
}
//情况二:targetNode有两颗子树的情况
if (targetNode.left != null && targetNode.right != null) {
int rightTreeMinValue = delRightTreeMin(targetNode.right);
targetNode.value = rightTreeMinValue;
}
//情况三:targetNode有一颗子树情况
if ((targetNode.left == null && targetNode.right != null) || (targetNode.right == null && targetNode.left != null)) {
if (targetNode.left != null) {//说明targetNode的子节点是左子节点
parentNode.left = targetNode.left;
}
if (targetNode.right != null) {//说明targetNode的子节点是右子节点
parentNode.left = targetNode.right;
}
}
} else if (parentNode.right != null && parentNode.right.value == value) {//targetNode是父节点的右子节点
//情况一:targetNode是叶子节点情况
if (targetNode.left == null && targetNode.right == null) {
parentNode.right = null;
}
//情况二:targetNode有两颗子树的情况
if (targetNode.left != null && targetNode.right != null) {
int rightTreeMinValue = delRightTreeMin(targetNode.right);
targetNode.value = rightTreeMinValue;
}
//情况三:targetNode有一颗子树情况
if ((targetNode.left == null && targetNode.right != null) || (targetNode.right == null && targetNode.left != null)) {
if (targetNode.left != null) {//说明targetNode的子节点是左子节点
parentNode.right = targetNode.left;
}
if (targetNode.right != null) {
parentNode.right = targetNode.right;
}
}
}
}
}
//查找要删除的节点
public Node search(int value) {
if (root == null) {
System.out.println("此树为空,查找失败");
return null;
} else {
return root.search(value);
}
}
//查找要删除节点的父节点
public Node searchParent(int value) {
if (root == null) {
System.out.println("此树为空,查找失败");
return null;
} else {
return root.searchParent(value);
}
}
//添加节点
public void add(Node node) {
if (root == null) {
root = node;
} else {
root.add(node);
}
}
//中序遍历
public void infixOrder() {
if (root == null) {
System.out.println("此树为空,无法遍历~");
} else {
root.infixOrder();
}
}
}
class Node {
int value;
Node left;
Node right;
public Node(int value) {
this.value = value;
}
//查找删除节点的方法
public Node search(int value) {
if (value == this.value) {//找到了
return this;
} else if (value < this.value) {//查找的值比当前的值小,向左子树递归查找
if (this.left == null) {//判断左子树是否为空,如果为空则返回null
return null;
}
return this.left.search(value);
} else {//查找的值比当前的值大,向右子树递归查找
if (this.right == null) {
return null;
}
return this.right.search(value);
}
}
//查找要删除节点的父节点
public Node searchParent(int value) {
if ((this.left != null && value == this.left.value) || (this.right != null && value == this.right.value)) {
//找到了
return this;
} else if (value < this.value && this.left != null) {//应该向左子树递归查找
return this.left.searchParent(value);
} else if (value > this.value && this.right != null) {//应该向右子树递归查找
return this.right.searchParent(value);
} else {
return null;
}
}
//添加节点
//递归的方式添加,主要要满足二叉排序树的要求:小的在节点左侧,大的在节点右侧
public void add(Node node) {
if (node == null) {
return;
}
if (node.value > this.value) {//添加节点比当前节点大,挂到右侧
if (this.right == null) {
this.right = node;
} else {
//如果不是空则继续向右递归添加
this.right.add(node);
}
} else {//添加节点比当前节点小,挂到左侧
if (this.left == null) {
this.left = node;
} else {
this.left.add(node);
}
}
}
//中序遍历
public void infixOrder() {
if (this.left != null) {
this.left.infixOrder();
}
System.out.println(this);
if (this.right != null) {
this.right.infixOrder();
}
}
@Override
public String toString() {
return "Node{" +
"value=" + value +
'}';
}
}