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Java-based LeetCode algorithm problem solutions, regularly updated
package g2301_2400.s2365_task_scheduler_ii;
// #Medium #Array #Hash_Table #Simulation #2022_08_14_Time_70_ms_(55.56%)_Space_123.3_MB_(11.11%)
import java.util.HashMap;
/**
* 2365 - Task Scheduler II\.
*
* Medium
*
* 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`
**/
public class Solution {
public long taskSchedulerII(int[] tasks, int space) {
long days = 0;
space++;
HashMap lastOccurence = new HashMap<>();
for (int i = 0; i < tasks.length; i++) {
if (lastOccurence.containsKey(tasks[i])) {
long lastTimeOccurred = lastOccurence.get(tasks[i]);
long daysDifference = days - lastTimeOccurred;
if (daysDifference < space) {
days += (space - daysDifference);
}
}
lastOccurence.put(tasks[i], days);
days++;
}
return days;
}
}
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