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lowest-common-ancestor-of-a-binary-search-tree.py
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"""
https://leetcode.com/submissions/detail/149357269/
Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST.
According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes v and w as the lowest node in T that has both v and w as descendants (where we allow a node to be a descendant of itself).”
_______6______
/ \
___2__ ___8__
/ \ / \
0 _4 7 9
/ \
3 5
For example, the lowest common ancestor (LCA) of nodes 2 and 8 is 6. Another example is LCA of nodes 2 and 4 is 2, since a node can be a descendant of itself according to the LCA definition."""
# 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 lowestCommonAncestor(self, root, p, q):
"""
:type root: TreeNode
:type p: TreeNode
:type q: TreeNode
:rtype: TreeNode
"""
if not root:
return None
target_dict = {'p': p, 'q': q}
def walk(node, parent, path_list):
parent.append(node)
if node is p:
target_dict.pop('p')
path_list.append(parent)
if node is q:
target_dict.pop('q')
path_list.append(parent)
if not target_dict:
return
left = node.left
right = node.right
if left:
walk(left, [x for x in parent], path_list)
if right:
walk(right, [x for x in parent], path_list)
path_list = []
walk(root, [], path_list)
short_one, long_one = sorted(path_list, key=lambda x: len(x))
if short_one[-1] in long_one:
return short_one[-1]
upper = None
for node_tuple in zip(short_one, long_one):
if node_tuple[0] == node_tuple[1]:
upper = node_tuple[0]
else:
return upper