Medium
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:
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?
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def __init__(self):
self.k = 0
self.count = 0
self.val = None
def kthSmallest(self, root: Optional[TreeNode], k: int) -> int:
self.k = k
self.count = 0
self.val = None
self.calculate(root)
return self.val
def calculate(self, node):
if not node:
return
if node.left:
self.calculate(node.left)
self.count += 1
if self.count == self.k:
self.val = node.val
return
if node.right:
self.calculate(node.right)