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committedSep 9, 2022
feat: add solutions to lc problem: No.0669
No.0669.Trim a Binary Search Tree
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‎solution/0600-0699/0669.Trim a Binary Search Tree/README.md

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@@ -42,6 +42,34 @@
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<!-- 这里可写通用的实现逻辑 -->
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**方法一:递归**
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判断 `root.val``low``high` 的大小关系:
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-`root.val` 大于 `high`,说明当前 `root` 节点与其右子树所有节点的值均大于 `high`,那么递归修剪 `root.left` 即可;
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-`root.val` 小于 `low`,说明当前 `root` 节点与其左子树所有节点的值均小于 `low`,那么递归修剪 `root.right` 即可;
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-`root.val``[low, high]` 之间,说明当前 `root` 应该保留,递归修剪 `root.left`, `root.right`,并且返回 `root`
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递归的终止条件是 `root` 节点为空。
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时间复杂度 $O(n)$,空间复杂度 $O(n)$。其中 $n$ 是二叉搜索树的节点个数。
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**方法二:迭代**
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我们先循环判断 `root`,若 `root.val` 不在 `[low, high]` 之间,那么直接将 `root` 置为对应的左孩子或右孩子,循环直至 `root` 为空或者 `root.val``[low, high]` 之间。
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若此时 `root` 为空,直接返回。否则,说明 `root` 是一个需要保留的节点。接下来只需要分别迭代修剪 `root` 的左右子树。
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以左子树 `node = root.left` 为例:
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-`node.left.val` 小于 `low`,那么 `node.left` 及其左孩子均不满足条件,我们直接将 `node.left` 置为 `node.left.right`
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- 否则,我们将 `node` 置为 `node.left`
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- 循环判断,直至 `node.left` 为空。
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右子树的修剪过程与之类似。
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时间复杂度 $O(n)$,空间复杂度 $O(1)$。其中 $n$ 是二叉搜索树的节点个数。
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<!-- tabs:start -->
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### **Python3**
@@ -73,6 +101,36 @@ class Solution:
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return dfs(root)
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```
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```python
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# Definition for a binary tree node.
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# class TreeNode:
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# def __init__(self, val=0, left=None, right=None):
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# self.val = val
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# self.left = left
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# self.right = right
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class Solution:
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def trimBST(
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self, root: Optional[TreeNode], low: int, high: int
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) -> Optional[TreeNode]:
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while root and (root.val < low or root.val > high):
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root = root.left if root.val > high else root.right
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if root is None:
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return None
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node = root
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while node.left:
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if node.left.val < low:
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node.left = node.left.right
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else:
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node = node.left
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node = root
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while node.right:
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if node.right.val > high:
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node.right = node.right.left
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else:
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node = node.right
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return root
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```
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### **Java**
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<!-- 这里可写当前语言的特殊实现逻辑 -->
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}
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```
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```java
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/**
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* Definition for a binary tree node.
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* public class TreeNode {
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* int val;
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* TreeNode left;
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* TreeNode right;
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* TreeNode() {}
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* TreeNode(int val) { this.val = val; }
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* TreeNode(int val, TreeNode left, TreeNode right) {
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* this.val = val;
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* this.left = left;
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* this.right = right;
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* }
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* }
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*/
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class Solution {
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public TreeNode trimBST(TreeNode root, int low, int high) {
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while (root != null && (root.val < low || root.val > high)) {
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root = root.val < low ? root.right : root.left;
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}
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if (root == null) {
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return null;
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}
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TreeNode node = root;
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while (node.left != null) {
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if (node.left.val < low) {
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node.left = node.left.right;
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} else {
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node = node.left;
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}
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}
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node = root;
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while (node.right != null) {
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if (node.right.val > high) {
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node.right = node.right.left;
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} else {
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node = node.right;
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}
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}
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return root;
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}
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}
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```
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### **C++**
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```cpp
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};
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```
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```cpp
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/**
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* Definition for a binary tree node.
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* struct TreeNode {
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* int val;
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* TreeNode *left;
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* TreeNode *right;
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* TreeNode() : val(0), left(nullptr), right(nullptr) {}
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* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
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* TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
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* };
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*/
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class Solution {
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public:
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TreeNode* trimBST(TreeNode* root, int low, int high) {
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while (root && (root->val < low || root->val > high)) {
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root = root->val < low ? root->right : root->left;
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}
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if (!root) {
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return root;
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}
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TreeNode* node = root;
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while (node->left) {
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if (node->left->val < low) {
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node->left = node->left->right;
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} else {
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node = node->left;
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}
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}
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node = root;
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while (node->right) {
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if (node->right->val > high) {
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node->right = node->right->left;
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} else {
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node = node->right;
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}
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}
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return root;
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}
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};
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```
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### **Go**
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```go
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}
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```
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```go
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/**
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* Definition for a binary tree node.
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* type TreeNode struct {
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* Val int
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* Left *TreeNode
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* Right *TreeNode
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* }
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*/
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func trimBST(root *TreeNode, low int, high int) *TreeNode {
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for root != nil && (root.Val < low || root.Val > high) {
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if root.Val < low {
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root = root.Right
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} else {
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root = root.Left
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}
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}
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if root == nil {
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return nil
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}
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node := root
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for node.Left != nil {
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if node.Left.Val < low {
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node.Left = node.Left.Right
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} else {
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node = node.Left
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}
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}
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node = root
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for node.Right != nil {
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if node.Right.Val > high {
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node.Right = node.Right.Left
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} else {
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node = node.Right
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}
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}
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return root
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}
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```
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### **...**
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```

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