-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathall_nodes_distance_k_in_binary_tree.py
81 lines (56 loc) · 2.02 KB
/
all_nodes_distance_k_in_binary_tree.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 value of a target node target, and an integer k, return an array of the values of all nodes that have a distance k from the target node.
You can return the answer in any order.
Example 1:
Input: root = [3,5,1,6,2,0,8,null,null,7,4], target = 5, k = 2
Output: [7,4,1]
Explanation: The nodes that are a distance 2 from the target node (with value 5) have values 7, 4, and 1.
Example 2:
Input: root = [1], target = 1, k = 3
Output: []
Constraints:
The number of nodes in the tree is in the range [1, 500].
0 <= Node.val <= 500
All the values Node.val are unique.
target is the value of one of the nodes in the tree.
0 <= k <= 1000
"""
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def distanceK(self, root: TreeNode, target: TreeNode, k: int) -> List[int]:
ans = []
parent = {}
queue = deque()
queue.append(root)
while queue:
size = len(queue)
for _ in range(size):
top = queue.popleft()
if top.left:
parent[top.left.val] = top
queue.append(top.left)
if top.right:
parent[top.right.val] = top
queue.append(top.right)
visited = {}
queue.append(target)
while k > 0 and queue:
size = len(queue)
for _ in range(size):
top = queue.popleft()
visited[top.val] = 1
if top.left and top.left.val not in visited:
queue.append(top.left)
if top.right and top.right.val not in visited:
queue.append(top.right)
if top.val in parent and parent[top.val].val not in visited:
queue.append(parent[top.val])
k -= 1
while queue:
ans.append(queue.popleft().val)
return ans