LeetCode 2385. Amount of Time for Binary Tree to Be Infected Solution in Java, C++, Python & More | Explanation + Code

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2385. Amount of Time for Binary Tree to Be Infected

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.

Solutions

Solution 1: Two DFS

First, we build a graph through one DFS, and get an adjacency list g, where g[node] represents all nodes connected to the node node.

Then, we use start as the starting point, and search the entire tree through DFS to find the farthest distance, which is the answer.

The time complexity is O(n), and the space complexity is O(n), where n is the number of nodes in the binary tree.

PythonJavaC++GoTypeScript
# 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: def dfs(node: Optional[TreeNode], fa: Optional[TreeNode]): if node is None: return if fa: g[node.val].append(fa.val) g[fa.val].append(node.val) dfs(node.left, node) dfs(node.right, node) def dfs2(node: int, fa: int) -> int: ans = 0 for nxt in g[node]: if nxt != fa: ans = max(ans, 1 + dfs2(nxt, node)) return ans g = defaultdict(list) dfs(root, None) return dfs2(start, -1)(code-box)

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