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/**
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* File: array_binary_tree.kt
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* Created Time: 2024-01-25
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* Author: curtishd (1023632660@qq.com)
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*/
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package chapter_tree
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import utils.TreeNode
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import utils.printTree
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/* 数组表示下的二叉树类 */
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/* 构造方法 */
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class ArrayBinaryTree(private val tree: MutableList<Int?>) {
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/* 列表容量 */
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fun size(): Int {
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return tree.size
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}
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/* 获取索引为 i 节点的值 */
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fun _val(i: Int): Int? {
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// 若索引越界,则返回 null ,代表空位
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if (i < 0 || i >= size()) return null
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return tree[i]
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}
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/* 获取索引为 i 节点的左子节点的索引 */
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fun left(i: Int): Int {
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return 2 * i + 1
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}
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/* 获取索引为 i 节点的右子节点的索引 */
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fun right(i: Int): Int {
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return 2 * i + 2
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}
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/* 获取索引为 i 节点的父节点的索引 */
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fun parent(i: Int): Int {
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return (i - 1) / 2
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}
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/* 层序遍历 */
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fun levelOrder(): MutableList<Int?> {
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val res = mutableListOf<Int?>()
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// 直接遍历数组
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for (i in 0..<size()) {
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if (_val(i) != null)
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res.add(_val(i))
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}
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return res
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}
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/* 深度优先遍历 */
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fun dfs(i: Int, order: String, res: MutableList<Int?>) {
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// 若为空位,则返回
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if (_val(i) == null)
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return
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// 前序遍历
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if ("pre" == order)
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res.add(_val(i))
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dfs(left(i), order, res)
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// 中序遍历
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if ("in" == order)
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res.add(_val(i))
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dfs(right(i), order, res)
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// 后序遍历
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if ("post" == order)
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res.add(_val(i))
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}
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/* 前序遍历 */
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fun preOrder(): MutableList<Int?> {
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val res = mutableListOf<Int?>()
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dfs(0, "pre", res)
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return res
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}
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/* 中序遍历 */
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fun inOrder(): MutableList<Int?> {
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val res = mutableListOf<Int?>()
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dfs(0, "in", res)
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return res
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}
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/* 后序遍历 */
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fun postOrder(): MutableList<Int?> {
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val res = mutableListOf<Int?>()
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dfs(0, "post", res)
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return res
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}
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}
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/* Driver Code */
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fun main() {
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// 初始化二叉树
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// 这里借助了一个从数组直接生成二叉树的函数
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val arr = mutableListOf(1, 2, 3, 4, null, 6, 7, 8, 9, null, null, 12, null, null, 15)
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val root = TreeNode.listToTree(arr)
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println("\n初始化二叉树\n")
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println("二叉树的数组表示:")
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println(arr)
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println("二叉树的链表表示:")
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printTree(root)
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// 数组表示下的二叉树类
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val abt = ArrayBinaryTree(arr)
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// 访问节点
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val i = 1
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val l = abt.left(i)
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val r = abt.right(i)
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val p = abt.parent(i)
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println("当前节点的索引为 $i ,值为 ${abt._val(i)}")
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println("其左子节点的索引为 $l ,值为 ${abt._val(l)}")
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println("其右子节点的索引为 $r ,值为 ${abt._val(r)}")
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println("其父节点的索引为 $p ,值为 ${abt._val(p)}")
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// 遍历树
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var res = abt.levelOrder()
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println("\n层序遍历为:$res")
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res = abt.preOrder()
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println("前序遍历为:$res")
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res = abt.inOrder()
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println("中序遍历为:$res")
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res = abt.postOrder()
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println("后序遍历为:$res")
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}
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