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LowestCommonAncestorOfABinarySearchTree.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/11/10 13:40
# @Author : tc
# @File : LowestCommonAncestorOfABinarySearchTree.py
"""
题号 235 二叉搜索树的最近公共祖先
给定一个二叉搜索树, 找到该树中两个指定节点的最近公共祖先。
百度百科中最近公共祖先的定义为:“对于有根树 T 的两个结点 p、q,最近公共祖先表示为一个结点 x,满足 x 是 p、q 的祖先且 x 的深度尽可能大(一个节点也可以是它自己的祖先)。”
例如,给定如下二叉搜索树: root = [6,2,8,0,4,7,9,null,null,3,5]
示例 1:
输入: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8
输出: 6
解释: 节点 2 和节点 8 的最近公共祖先是 6。
示例 2:
输入: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 4
输出: 2
解释: 节点 2 和节点 4 的最近公共祖先是 2, 因为根据定义最近公共祖先节点可以为节点本身。
说明:
所有节点的值都是唯一的。
p、q 为不同节点且均存在于给定的二叉搜索树中。
参考:https://leetcode-cn.com/problems/lowest-common-ancestor-of-a-binary-search-tree/solution/er-cha-sou-suo-shu-de-zui-jin-gong-gong-zu-xian--2/
极简解法参考:https://leetcode-cn.com/problems/lowest-common-ancestor-of-a-binary-search-tree/solution/python-2xing-by-knifezhu-3/
"""
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def lowestCommonAncestor(self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode') -> 'TreeNode':
# Value of current node or parent node.
parent_val = root.val
# Value of p
p_val = p.val
# Value of q
q_val = q.val
# If both p and q are greater than parent
if p_val > parent_val and q_val > parent_val:
return self.lowestCommonAncestor(root.right, p, q)
# If both p and q are lesser than parent
elif p_val < parent_val and q_val < parent_val:
return self.lowestCommonAncestor(root.left, p, q)
# We have found the split point, i.e. the LCA node.
else:
return root
def lowestCommonAncestor2(self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode') -> 'TreeNode':
while (root.val - p.val) * (root.val - q.val) > 0:
root = (root.left, root.right)[p.val > root.val]
return root
if __name__ == '__main__':
node0 = TreeNode(0)
node1 = TreeNode(1)
node2 = TreeNode(2)
node3 = TreeNode(3)
node4 = TreeNode(4)
node5 = TreeNode(5)
node6 = TreeNode(6)
node7 = TreeNode(7)
node8 = TreeNode(8)
node9 = TreeNode(9)
node6.left = node2
node6.right = node8
node2.left = node0
node2.right = node4
node8.left = node7
node8.right = node9
node4.left =node3
node4.right = node5
solution = Solution()
p = node2
q = node8
print(solution.lowestCommonAncestor(node6,p,q))