Description
You are given the root
of a binary tree with unique values, and an integer start
. At minute 0
, an infection starts from the node with value start
.
Each minute, a node becomes infected if:
- The node is currently uninfected.
- The node is adjacent to an infected node.
Return the number of minutes needed for the entire tree to be infected.
Example 1:

Input: root = [1,5,3,null,4,10,6,9,2], start = 3 Output: 4 Explanation: The following nodes are infected during: - Minute 0: Node 3 - Minute 1: Nodes 1, 10 and 6 - Minute 2: Node 5 - Minute 3: Node 4 - Minute 4: Nodes 9 and 2 It takes 4 minutes for the whole tree to be infected so we return 4.
Example 2:

Input: root = [1], start = 1 Output: 0 Explanation: At minute 0, the only node in the tree is infected so we return 0.
Constraints:
- The number of nodes in the tree is in the range
[1, 105]
. 1 <= Node.val <= 105
- Each node has a unique value.
- A node with a value of
start
exists in the tree.
Solution
Python3
# 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 amountOfTime(self, root: Optional[TreeNode], start: int) -> int:
graph = defaultdict(list)
def go(node, prev):
if not node: return
if prev:
graph[prev.val].append(node.val)
graph[node.val].append(prev.val)
go(node.left, node)
go(node.right, node)
go(root, None)
queue = deque([start])
visited = set()
visited.add(start)
time = -1
while queue:
for _ in range(len(queue)):
node = queue.popleft()
for adj in graph[node]:
if adj not in visited:
visited.add(adj)
queue.append(adj)
time += 1
return time