1443. Minimum Time to Collect All Apples in a Tree

1443. Minimum Time to Collect All Apples in a Tree

Description

Given an undirected tree consisting of n vertices numbered from 0 to n-1, which has some apples in their vertices. You spend 1 second to walk over one edge of the tree. Return the minimum time in seconds you have to spend to collect all apples in the tree, starting at vertex 0 and coming back to this vertex.

The edges of the undirected tree are given in the array edges, where edges[i] = [a<sub>i</sub>, b<sub>i</sub>] means that exists an edge connecting the vertices a<sub>i</sub> and b<sub>i</sub>. Additionally, there is a boolean array hasApple, where hasApple[i] = true means that vertex i has an apple; otherwise, it does not have any apple.

Example 1:

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Input: n = 7, edges = [[0,1],[0,2],[1,4],[1,5],[2,3],[2,6]], hasApple = [false,false,true,false,true,true,false]
Output: 8
Explanation: The figure above represents the given tree where red vertices have an apple. One optimal path to collect all apples is shown by the green arrows.

Example 2:

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Input: n = 7, edges = [[0,1],[0,2],[1,4],[1,5],[2,3],[2,6]], hasApple = [false,false,true,false,false,true,false]
Output: 6
Explanation: The figure above represents the given tree where red vertices have an apple. One optimal path to collect all apples is shown by the green arrows.

Example 3:

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Input: n = 7, edges = [[0,1],[0,2],[1,4],[1,5],[2,3],[2,6]], hasApple = [false,false,false,false,false,false,false]
Output: 0

Constraints:

  • 1 <= n <= 10^5
  • edges.length == n - 1
  • edges[i].length == 2
  • 0 <= ai < bi <= n - 1
  • hasApple.length == n

Hints/Notes

Solution

Language: C++

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class Solution {
public:
vector<vector<int>> graph;

int minTime(int n, vector<vector<int>>& edges, vector<bool>& hasApple) {
graph.resize(n);
for (auto& e : edges) {
int u = e[0], v = e[1];
graph[u].push_back(v);
graph[v].push_back(u);
}
int res = dfs(0, -1, hasApple);
return res;
}

int dfs(int node, int parent, vector<bool>& hasApple) {
int res = 0;
for (int u : graph[node]) {
if (u == parent) {
continue;
}
res += dfs(u, node, hasApple);
}
if (parent != -1 && (hasApple[node] || res > 0)) {
res += 2;
}
return res;
}
};