You are given a 0-indexed array of positive integers tasks
, representing tasks that need to be completed in order, where tasks[i]
represents the type of the ith
task.
You are also given a positive integer space
, which represents the minimum number of days that must pass after the completion of a task before another task of the same type can be performed.
Each day, until all tasks have been completed, you must either:
- Complete the next task from
tasks
, or - Take a break.
Return the minimum number of days needed to complete all tasks.
Example 1:
Input: tasks = [1,2,1,2,3,1], space = 3 Output: 9 Explanation: One way to complete all tasks in 9 days is as follows: Day 1: Complete the 0th task. Day 2: Complete the 1st task. Day 3: Take a break. Day 4: Take a break. Day 5: Complete the 2nd task. Day 6: Complete the 3rd task. Day 7: Take a break. Day 8: Complete the 4th task. Day 9: Complete the 5th task. It can be shown that the tasks cannot be completed in less than 9 days.
Example 2:
Input: tasks = [5,8,8,5], space = 2 Output: 6 Explanation: One way to complete all tasks in 6 days is as follows: Day 1: Complete the 0th task. Day 2: Complete the 1st task. Day 3: Take a break. Day 4: Take a break. Day 5: Complete the 2nd task. Day 6: Complete the 3rd task. It can be shown that the tasks cannot be completed in less than 6 days.
Constraints:
1 <= tasks.length <= 105
1 <= tasks[i] <= 109
1 <= space <= tasks.length
Companies: Facebook
Related Topics:
Array, Hash Table, Simulation
Similar Questions:
- Task Scheduler (Medium)
- Maximize Distance to Closest Person (Medium)
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// OJ: https://leetcode.com/problems/task-scheduler-ii
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(T) where T is the number of unique tasks
class Solution {
public:
long long taskSchedulerII(vector<int>& A, int space) {
long long i = 0, N = A.size();
unordered_map<int, long long> prev; // task ID -> previous occurrence's index
for (int n : A) {
if (prev.count(n)) {
i += max(0LL, space - i + prev[n] + 1); // currently at `i`. There are `i-prev[n]-1` space between `i` and the previous occurrence. If `i-prev[n]-1 < space`, we need to pad `space-(i-prev[n]-1)`.
}
prev[n] = i;
++i;
}
return i;
}
};