2365. Task Scheduler II
Problem Statement
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
, orTake 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
Intuition
Approach:
Maintain a map to keep track of the next time, When it can be execute
Links
https://leetcode.com/problems/task-scheduler-ii/description/
Video Links
Approach 1:
class Solution {
public:
long long taskSchedulerII(vector<int>& tasks, int space) {
unordered_map<int, long long> mp;
long long cur_time=0;
for(auto &it: tasks){
if(mp.find(it) == mp.end()){
mp[it] = cur_time+space+1;
cur_time++;
}
else{
// For taking the idle time, current time is less so have to wait
if(cur_time < mp[it]){
cur_time = mp[it];
}
// No ideal time required, Directly shift the time ahead
mp[it] = cur_time+space+1;
cur_time++;
}
}
return cur_time;
}
};
Approach 2:
Approach 3:
Approach 4:
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