Class Solution
java.lang.Object
g1401_1500.s1443_minimum_time_to_collect_all_apples_in_a_tree.Solution
1443 - Minimum Time to Collect All Apples in a Tree\.
Medium
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] = [ai, bi] means that exists an edge connecting the vertices ai and bi. 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:**

**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:**

**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:**
**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 <= 105
* `edges.length == n - 1`
* `edges[i].length == 2`
* 0 <= ai < bi <= n - 1
* fromi < toi
* `hasApple.length == n`-
Constructor Summary
Constructors -
Method Summary
-
Constructor Details
-
Solution
public Solution()
-
-
Method Details
-
minTime
-