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Copy path230-kth-smallest-element-in-a-bst.py
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230-kth-smallest-element-in-a-bst.py
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"""
Problem Link: https://leetcode.com/problems/kth-smallest-element-in-a-bst/
Given a binary search tree, write a function kthSmallest to find the kth smallest element in it.
Note:
You may assume k is always valid, 1 ≤ k ≤ BST's total elements.
Example 1:
Input: root = [3,1,4,null,2], k = 1
3
/ \
1 4
\
2
Output: 1
Example 2:
Input: root = [5,3,6,2,4,null,null,1], k = 3
5
/ \
3 6
/ \
2 4
/
1
Output: 3
Follow up:
What if the BST is modified (insert/delete operations) often and you need to find the kth smallest frequently?
How would you optimize the kthSmallest routine?
"""
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def kthSmallest(self, root, k):
"""
:type root: TreeNode
:type k: int
:rtype: int
"""
stack = []
while True:
while root:
stack.append(root)
root = root.left
root = stack.pop()
k -= 1
if not k:
return root.val
root = root.right
class Solution1:
def kthSmallest(self, root: TreeNode, k: int) -> int:
stack = []
cur = root
while stack or cur:
if cur:
stack.append(cur)
cur = cur.left
else:
node = stack.pop()
k -= 1
if not k:
return node.val
cur = node.right