LeetCode 98 Validate Binary Search Tree(Python详解及实现)
2017-08-11 12:25
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【题目】
Given a binary tree, determine if it is avalid binary search tree (BST).
Assume a BST is defined as follows:
The left subtree of a node contains onlynodes with keys less than the node's key.
The right subtree of a node contains onlynodes with keys greater than the node's key.
Both the left and right subtrees must alsobe binary search trees.
Example 1:
2
/\
1 3
Binary tree [2,1,3], return true.
Example 2:
1
/\
2 3
Binary tree [1,2,3], return false.
给定一个二叉树,判断是不是合法的二叉搜索树。
【思路】
一:递归。(当前节点值比他左子树大,比右子树小)
1. 为空返回true
2.左子树返回的合法性。考虑左子树不空的时候,那么根结点要比所有左子树上的结点大,即根结点大于左子树的最大值----左子树的右下角的结点。
3. 左子树返回为真且右子树也为真则返回真。考虑右子树时,根要比右子树的最小值小---最左左下角的结点。
【Python实现】
# -*-coding: utf-8 -*-
"""
Createdon Fri Aug 11 10:51:35 2017
@author:Administrator
"""
#Definition for a binary tree node.
classTreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
classSolution(object):
def isValidBST(self, root):
"""
:type root: TreeNode
:rtype: bool
"""
return self.valid(root, None, None)
def valid(self, root, min, max):
if root == None or root.val == None:
return True
if (min is not None and root.val <=min) or (max is not None and root.val >= max):
print(1)
return False
return self.valid(root.left, min,root.val) and self.valid(root.right, root.val, max)
if__name__ == '__main__':
S = Solution()
l1 = TreeNode(9)
l2 = TreeNode(5)
l3 = TreeNode(11)
l4 = TreeNode(2)
l5 = TreeNode(7)
l6 = TreeNode(10)
l7 = TreeNode(14)
l8 = TreeNode(1)
l9 = TreeNode(3)
l10 = TreeNode(6)
l11 = TreeNode(8)
l12 = TreeNode(12)
l13 = TreeNode(15)
root = l1
l1.left = l2
l1.right = l3
l2.left = l4
l2.right = l5
l3.left = l6
l3.right = l7
l4.left = l8
l4.right = l9
l5.left = l10
l5.right = l11
l7.left = l12
l7.right = l13
S.isValidBST(root)
Given a binary tree, determine if it is avalid binary search tree (BST).
Assume a BST is defined as follows:
The left subtree of a node contains onlynodes with keys less than the node's key.
The right subtree of a node contains onlynodes with keys greater than the node's key.
Both the left and right subtrees must alsobe binary search trees.
Example 1:
2
/\
1 3
Binary tree [2,1,3], return true.
Example 2:
1
/\
2 3
Binary tree [1,2,3], return false.
给定一个二叉树,判断是不是合法的二叉搜索树。
【思路】
一:递归。(当前节点值比他左子树大,比右子树小)
1. 为空返回true
2.左子树返回的合法性。考虑左子树不空的时候,那么根结点要比所有左子树上的结点大,即根结点大于左子树的最大值----左子树的右下角的结点。
3. 左子树返回为真且右子树也为真则返回真。考虑右子树时,根要比右子树的最小值小---最左左下角的结点。
【Python实现】
# -*-coding: utf-8 -*-
"""
Createdon Fri Aug 11 10:51:35 2017
@author:Administrator
"""
#Definition for a binary tree node.
classTreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
classSolution(object):
def isValidBST(self, root):
"""
:type root: TreeNode
:rtype: bool
"""
return self.valid(root, None, None)
def valid(self, root, min, max):
if root == None or root.val == None:
return True
if (min is not None and root.val <=min) or (max is not None and root.val >= max):
print(1)
return False
return self.valid(root.left, min,root.val) and self.valid(root.right, root.val, max)
if__name__ == '__main__':
S = Solution()
l1 = TreeNode(9)
l2 = TreeNode(5)
l3 = TreeNode(11)
l4 = TreeNode(2)
l5 = TreeNode(7)
l6 = TreeNode(10)
l7 = TreeNode(14)
l8 = TreeNode(1)
l9 = TreeNode(3)
l10 = TreeNode(6)
l11 = TreeNode(8)
l12 = TreeNode(12)
l13 = TreeNode(15)
root = l1
l1.left = l2
l1.right = l3
l2.left = l4
l2.right = l5
l3.left = l6
l3.right = l7
l4.left = l8
l4.right = l9
l5.left = l10
l5.right = l11
l7.left = l12
l7.right = l13
S.isValidBST(root)
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