[Lintcode]95. Validate Binary Search Tree/[Leetcode]98. Validate Binary Search Tree
阿新 • • 發佈:2019-02-15
date rmi 沒有 append etc return must follow ram
95. Validate Binary Search Tree/98. Validate Binary Search Tree
- 本題難度: Easy
- Topic: Binary Tree
Description
Given a binary tree, determine if it is a valid binary search tree (BST).
Assume a BST is defined as follows:
The left subtree of a node contains only nodes with keys less than the node‘s key.
The right subtree of a node contains only nodes with keys greater than the node‘s key.
Both the left and right subtrees must also be binary search trees.
A single node tree is a BST
Example
An example:
2
/
1 4
/
3 5
The above binary tree is serialized as {2,1,4,#,#,3,5} (in level order).
我的代碼
# Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: #def isValidBST(self, root: ‘TreeNode‘) -> ‘bool‘: def inorder(self,root,res = []): if root is None: return res if root.left is not None: res = self.inorder(root.left,res) res.append(root.val) if root.right is not None: res = self.inorder(root.right,res) return res def isValidBST(self, root): # write your code here if root is None: return True res = self.inorder(root,[]) print(res) sortres = sorted(res) print(res) return sortres == res and (len(res) == len(set(res)))
別人的代碼
""" Definition of TreeNode: class TreeNode: def __init__(self, val): self.val = val self.left, self.right = None, None """ class Solution: """ @param root: The root of binary tree. @return: True if the binary tree is BST, or false """ def isValidBST(self, root, left = float(‘-inf‘), right = float(‘inf‘)): if not root: return True if root.val<left or root.val>right: return False return self.isValidBST(root.left,left,min(right,root.val)) and self.isValidBST(root.left,max(left,root.val),right)
思路
我的思路是,中序遍歷為有序且沒有重復數字。
其實可以直接用比左子樹大,比右子樹小來判斷
[Lintcode]95. Validate Binary Search Tree/[Leetcode]98. Validate Binary Search Tree