Leetcode #98
Problem
Given the root of a binary tree, determine if it is a valid binary search tree (BST).
A valid BST is defined as follows:
The left subtree of a node contains only nodes with keys strictly less than the node’s key.
The right subtree of a node contains only nodes with keys strictly greater than the node’s key.
Both the left and right subtrees must also be binary search trees.
Example 1:
Input: root = [2,1,3]
Output: true
Example 2:
Input: root = [5,1,4,null,null,3,6]
Output: false
Explanation: The root node’s value is 5 but its right child’s value is 4.
Constraints:
The number of nodes in the tree is in the range [1, 104].
-231 ⇐ Node.val ⇐ 231 - 1
My DFS Solution:
# 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 isValidBST(self, root: TreeNode | None) -> bool:
"""
- left subtree < node
- right subtree > node
- isValidBST(left) and isValidBST(right)
- dfs(node, lowerBound, upperBound)
- lower < node < upper
- base case:
- no children: True
- if left > node or right < node:
- False
- return dfs left (upper = node.val)
- and dfs right (lower = node.val)
"""
def dfs(node, lower, upper):
if not node:
return True
elif not (lower < node.val and node.val < upper):
return False
else:
return dfs(node.left, lower, node.val) and dfs(node.right, node.val, upper)
return dfs(root, float("-inf"), float("inf"))My BFS Solution:
# 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 isValidBST(self, root: TreeNode | None) -> bool:
"""
- BFS to check across level
- (node, lower, upper)
- same logic
- lower < node.val < upper
- explore left: upper = node.val
- explore right: lower = node.val
"""
q = deque([(root, float("-inf"), float("inf"))])
while q:
node, lower, upper = q.popleft()
if not (lower < node.val and node.val < upper):
return False
if node.left:
q.append((node.left, lower, node.val))
if node.right:
q.append((node.right, node.val, upper))
return True