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https://github.com/krahets/hello-algo.git
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2626de8d0b
introduction, computational complexity.
228 lines
7.3 KiB
Swift
228 lines
7.3 KiB
Swift
/**
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* File: avl_tree.swift
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* Created Time: 2023-01-28
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* Author: nuomi1 (nuomi1@qq.com)
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*/
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import utils
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/* AVL 树 */
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class AVLTree {
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fileprivate var root: TreeNode? // 根节点
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/* 获取节点高度 */
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func height(node: TreeNode?) -> Int {
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// 空节点高度为 -1 ,叶节点高度为 0
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node == nil ? -1 : node!.height
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}
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/* 更新节点高度 */
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private func updateHeight(node: TreeNode?) {
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// 节点高度等于最高子树高度 + 1
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node?.height = max(height(node: node?.left), height(node: node?.right)) + 1
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}
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/* 获取平衡因子 */
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func balanceFactor(node: TreeNode?) -> Int {
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// 空节点平衡因子为 0
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guard let node = node else { return 0 }
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// 节点平衡因子 = 左子树高度 - 右子树高度
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return height(node: node.left) - height(node: node.right)
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}
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/* 右旋操作 */
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private func rightRotate(node: TreeNode?) -> TreeNode? {
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let child = node?.left
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let grandChild = child?.right
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// 以 child 为原点,将 node 向右旋转
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child?.right = node
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node?.left = grandChild
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// 更新节点高度
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updateHeight(node: node)
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updateHeight(node: child)
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// 返回旋转后子树的根节点
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return child
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}
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/* 左旋操作 */
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private func leftRotate(node: TreeNode?) -> TreeNode? {
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let child = node?.right
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let grandChild = child?.left
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// 以 child 为原点,将 node 向左旋转
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child?.left = node
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node?.right = grandChild
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// 更新节点高度
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updateHeight(node: node)
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updateHeight(node: child)
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// 返回旋转后子树的根节点
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return child
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}
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/* 执行旋转操作,使该子树重新恢复平衡 */
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private func rotate(node: TreeNode?) -> TreeNode? {
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// 获取节点 node 的平衡因子
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let balanceFactor = balanceFactor(node: node)
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// 左偏树
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if balanceFactor > 1 {
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if self.balanceFactor(node: node?.left) >= 0 {
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// 右旋
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return rightRotate(node: node)
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} else {
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// 先左旋后右旋
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node?.left = leftRotate(node: node?.left)
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return rightRotate(node: node)
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}
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}
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// 右偏树
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if balanceFactor < -1 {
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if self.balanceFactor(node: node?.right) <= 0 {
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// 左旋
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return leftRotate(node: node)
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} else {
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// 先右旋后左旋
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node?.right = rightRotate(node: node?.right)
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return leftRotate(node: node)
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}
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}
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// 平衡树,无须旋转,直接返回
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return node
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}
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/* 插入节点 */
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func insert(val: Int) {
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root = insertHelper(node: root, val: val)
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}
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/* 递归插入节点(辅助方法) */
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private func insertHelper(node: TreeNode?, val: Int) -> TreeNode? {
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var node = node
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if node == nil {
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return TreeNode(x: val)
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}
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/* 1. 查找插入位置,并插入节点 */
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if val < node!.val {
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node?.left = insertHelper(node: node?.left, val: val)
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} else if val > node!.val {
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node?.right = insertHelper(node: node?.right, val: val)
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} else {
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return node // 重复节点不插入,直接返回
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}
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updateHeight(node: node) // 更新节点高度
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/* 2. 执行旋转操作,使该子树重新恢复平衡 */
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node = rotate(node: node)
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// 返回子树的根节点
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return node
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}
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/* 删除节点 */
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func remove(val: Int) {
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root = removeHelper(node: root, val: val)
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}
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/* 递归删除节点(辅助方法) */
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private func removeHelper(node: TreeNode?, val: Int) -> TreeNode? {
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var node = node
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if node == nil {
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return nil
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}
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/* 1. 查找节点,并删除之 */
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if val < node!.val {
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node?.left = removeHelper(node: node?.left, val: val)
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} else if val > node!.val {
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node?.right = removeHelper(node: node?.right, val: val)
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} else {
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if node?.left == nil || node?.right == nil {
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let child = node?.left != nil ? node?.left : node?.right
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// 子节点数量 = 0 ,直接删除 node 并返回
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if child == nil {
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return nil
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}
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// 子节点数量 = 1 ,直接删除 node
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else {
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node = child
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}
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} else {
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// 子节点数量 = 2 ,则将中序遍历的下个节点删除,并用该节点替换当前节点
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var temp = node?.right
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while temp?.left != nil {
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temp = temp?.left
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}
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node?.right = removeHelper(node: node?.right, val: temp!.val)
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node?.val = temp!.val
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}
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}
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updateHeight(node: node) // 更新节点高度
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/* 2. 执行旋转操作,使该子树重新恢复平衡 */
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node = rotate(node: node)
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// 返回子树的根节点
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return node
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}
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/* 查找节点 */
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func search(val: Int) -> TreeNode? {
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var cur = root
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while cur != nil {
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// 目标节点在 cur 的右子树中
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if cur!.val < val {
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cur = cur?.right
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}
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// 目标节点在 cur 的左子树中
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else if cur!.val > val {
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cur = cur?.left
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}
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// 找到目标节点,跳出循环
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else {
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break
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}
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}
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// 返回目标节点
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return cur
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}
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}
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@main
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enum _AVLTree {
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static func testInsert(tree: AVLTree, val: Int) {
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tree.insert(val: val)
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print("\n插入节点 \(val) 后,AVL 树为")
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PrintUtil.printTree(root: tree.root)
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}
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static func testRemove(tree: AVLTree, val: Int) {
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tree.remove(val: val)
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print("\n删除节点 \(val) 后,AVL 树为")
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PrintUtil.printTree(root: tree.root)
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}
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/* Driver Code */
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static func main() {
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/* 初始化空 AVL 树 */
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let avlTree = AVLTree()
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/* 插入节点 */
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// 请关注插入节点后,AVL 树是如何保持平衡的
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testInsert(tree: avlTree, val: 1)
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testInsert(tree: avlTree, val: 2)
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testInsert(tree: avlTree, val: 3)
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testInsert(tree: avlTree, val: 4)
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testInsert(tree: avlTree, val: 5)
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testInsert(tree: avlTree, val: 8)
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testInsert(tree: avlTree, val: 7)
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testInsert(tree: avlTree, val: 9)
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testInsert(tree: avlTree, val: 10)
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testInsert(tree: avlTree, val: 6)
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/* 插入重复节点 */
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testInsert(tree: avlTree, val: 7)
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/* 删除节点 */
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// 请关注删除节点后,AVL 树是如何保持平衡的
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testRemove(tree: avlTree, val: 8) // 删除度为 0 的节点
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testRemove(tree: avlTree, val: 5) // 删除度为 1 的节点
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testRemove(tree: avlTree, val: 4) // 删除度为 2 的节点
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/* 查询节点 */
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let node = avlTree.search(val: 7)
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print("\n查找到的节点对象为 \(node!),节点值 = \(node!.val)")
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}
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}
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