-
Notifications
You must be signed in to change notification settings - Fork 27
/
Copy path1379.FindaCorrespondingNodeofaBinaryTreeinaCloneofThatTree(recursion).py
56 lines (49 loc) · 2.06 KB
/
1379.FindaCorrespondingNodeofaBinaryTreeinaCloneofThatTree(recursion).py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
"""
Given two binary trees original and cloned and given a reference to a node
target in the original tree.
The cloned tree is a copy of the original tree.
Return a reference to the same node in the cloned tree.
Note that you are not allowed to change any of the two trees or the target
node and the answer must be a reference to a node in the cloned tree.
Follow up: Solve the problem if repeated values on the tree are allowed.
Example 1:
original cloned
7 7
/ \ vTARGET / \
4 3 4 3
/ \ / \
6 19 6 19
Input: tree = [7,4,3,null,null,6,19], target = 3
Output: 3
Explanation: In all examples the original and cloned trees are shown.
The target node is a green node from the original tree.
The answer is the yellow node from the cloned tree.
Constraints:
- The number of nodes in the tree is in the range [1, 10^4].
- The values of the nodes of the tree are unique.
- target node is a node from the original tree and is not null.
"""
#Difficulty: Medium
#56 / 56 test cases passed.
#Runtime: 712 ms
#Memory Usage: 23.3 MB
#Runtime: 712 ms, faster than 56.60% of Python3 online submissions for Find a Corresponding Node of a Binary Tree in a Clone of That Tree.
#Memory Usage: 23.3 MB, less than 95.40% of Python3 online submissions for Find a Corresponding Node of a Binary Tree in a Clone of That Tree.
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def getTargetCopy(self, original: TreeNode, cloned: TreeNode, target: TreeNode) -> TreeNode:
self.target = None
self.dfs(cloned, target)
return self.target
def dfs(self, node, target):
if not node:
return
if node.val == target.val:
self.target = node
self.dfs(node.left, target)
self.dfs(node.right, target)