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Given the root
of a binary search tree, and an integer k
, return the kth
smallest value (1-indexed) of all the values of the nodes in the tree.
Example 1:
Input: root = [3,1,4,null,2], k = 1 Output: 1
Example 2:
Input: root = [5,3,6,2,4,null,null,1], k = 3 Output: 3
Constraints:
- The number of nodes in the tree is
n
. 1 <= k <= n <= 104
0 <= Node.val <= 104
Follow up: If the BST is modified often (i.e., we can do insert and delete operations) and you need to find the kth smallest frequently, how would you optimize?
Python
# Definition for a binary tree node.
from typing import List, Optional
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def addToArr(self, node: Optional[TreeNode], treeList: List[int]) -> None:
if node:
self.addToArr(node.left, treeList)
treeList.append(node.val)
self.addToArr(node.right, treeList)
def kthSmallest(self, root: Optional[TreeNode], k: int) -> int:
result = []
self.addToArr(root, result)
return result[k-1]