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.
/** * Definition for a binary tree node. * type TreeNode struct { * Val int * Left *TreeNode * Right *TreeNode * } */funcamountOfTime(root*TreeNode,startint)int{g:=map[int][]int{}vardfsfunc(*TreeNode,*TreeNode)dfs=func(node,fa*TreeNode){ifnode==nil{return}iffa!=nil{g[node.Val]=append(g[node.Val],fa.Val)g[fa.Val]=append(g[fa.Val],node.Val)}dfs(node.Left,node)dfs(node.Right,node)}vardfs2func(int,int)intdfs2=func(node,faint)(ansint){for_,nxt:=rangeg[node]{ifnxt!=fa{ans=max(ans,1+dfs2(nxt,node))}}return}dfs(root,nil)returndfs2(start,-1)}