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lowest-common-ancestor-of-a-binary-search-tree.py
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lowest-common-ancestor-of-a-binary-search-tree.py
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# Time: O(n)
# Space: O(1)
#
# 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:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
# @param {TreeNode} root
# @param {TreeNode} p
# @param {TreeNode} q
# @return {TreeNode}
def lowestCommonAncestor(self, root, p, q):
s, b = sorted([p.val, q.val])
while not s <= root.val <= b:
# Keep searching since root is outside of [s, b].
root = root.left if s <= root.val else root.right
# s <= root.val <= b.
return root