-
Notifications
You must be signed in to change notification settings - Fork 26
/
865.SmallestSubtreewithalltheDeepestNodes.py
81 lines (68 loc) · 2.79 KB
/
865.SmallestSubtreewithalltheDeepestNodes.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
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
'''
Given the root of a binary tree, the depth of each node is
the shortest distance to the root.
Return the smallest subtree such that it contains all the
deepest nodes in the original tree.
A node is called the deepest if it has the largest depth
possible among any node in the entire tree.
The subtree of a node is tree consisting of that node, plus
the set of all descendants of that node.
Note: This question is the same as 1123:
https://leetcode.com/problems/lowest-common-ancestor-of-deepest-leaves/
Example:
Input: root = [3,5,1,6,2,0,8,null,null,7,4]
Output: [2,7,4]
Explanation: We return the node with value 2, colored in
yellow in the diagram.
The nodes coloured in blue are the deepest
nodes of the tree.
Notice that nodes 5, 3 and 2 contain the
deepest nodes in the tree but node 2 is the
smallest subtree among them, so we return it.
Example:
Input: root = [1]
Output: [1]
Explanation: The root is the deepest node in the tree.
Example:
Input: root = [0,1,3,null,2]
Output: [2]
Explanation: The deepest node in the tree is 2, the valid
subtrees are the subtrees of nodes 2, 1 and
0 but the subtree of node 2 is the smallest.
Constraints:
- The number of nodes in the tree will be in the
range [1, 500].
- 0 <= Node.val <= 500
- The values of the nodes in the tree are unique.
'''
#Difficulty: Medium
#58 / 58 test cases passed.
#Runtime: 32 ms
#Memory Usage: 14.6 MB
#Runtime: 32 ms, faster than 82.68% of Python3 online submissions for Smallest Subtree with all the Deepest Nodes.
#Memory Usage: 14.6 MB, less than 8.28% of Python3 online submissions for Smallest Subtree with all the Deepest Nodes.
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def subtreeWithAllDeepest(self, root: TreeNode) -> TreeNode:
return self.dfs(root, 0)[0]
def dfs(self, root, depth=0):
if not root.left and not root.right:
return root, depth
if root.left and root.right:
leftNode, leftDepth = self.dfs(root.left, depth+1)
rightNode, rightDepth = self.dfs(root.right, depth+1)
if leftDepth > rightDepth:
return leftNode, leftDepth
elif leftDepth < rightDepth:
return rightNode, rightDepth
else:
return root, leftDepth
if root.left:
return self.dfs(root.left, depth+1)
if root.right:
return self.dfs(root.right, depth+1)