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Java-based LeetCode algorithm problem solutions, regularly updated
package g1801_1900.s1882_process_tasks_using_servers;
// #Medium #Array #Heap_Priority_Queue #2022_05_06_Time_290_ms_(77.45%)_Space_69.1_MB_(95.62%)
import java.util.PriorityQueue;
/**
* 1882 - Process Tasks Using Servers\.
*
* Medium
*
* You are given two **0-indexed** integer arrays `servers` and `tasks` of lengths `n` and `m` respectively. `servers[i]` is the **weight** of the ith
server, and `tasks[j]` is the **time needed** to process the jth
task **in seconds**.
*
* Tasks are assigned to the servers using a **task queue**. Initially, all servers are free, and the queue is **empty**.
*
* At second `j`, the jth
task is **inserted** into the queue (starting with the 0th
task being inserted at second `0`). As long as there are free servers and the queue is not empty, the task in the front of the queue will be assigned to a free server with the **smallest weight** , and in case of a tie, it is assigned to a free server with the **smallest index**.
*
* If there are no free servers and the queue is not empty, we wait until a server becomes free and immediately assign the next task. If multiple servers become free at the same time, then multiple tasks from the queue will be assigned **in order of insertion** following the weight and index priorities above.
*
* A server that is assigned task `j` at second `t` will be free again at second `t + tasks[j]`.
*
* Build an array `ans` of length `m`, where `ans[j]` is the **index** of the server the jth
task will be assigned to.
*
* Return _the array_ `ans`.
*
* **Example 1:**
*
* **Input:** servers = [3,3,2], tasks = [1,2,3,2,1,2]
*
* **Output:** [2,2,0,2,1,2]
*
* **Explanation:** Events in chronological order go as follows:
*
* - At second 0, task 0 is added and processed using server 2 until second 1.
*
* - At second 1, server 2 becomes free. Task 1 is added and processed using server 2 until second 3.
*
* - At second 2, task 2 is added and processed using server 0 until second 5.
*
* - At second 3, server 2 becomes free. Task 3 is added and processed using server 2 until second 5.
*
* - At second 4, task 4 is added and processed using server 1 until second 5.
*
* - At second 5, all servers become free. Task 5 is added and processed using server 2 until second 7.
*
* **Example 2:**
*
* **Input:** servers = [5,1,4,3,2], tasks = [2,1,2,4,5,2,1]
*
* **Output:** [1,4,1,4,1,3,2]
*
* **Explanation:** Events in chronological order go as follows:
*
* - At second 0, task 0 is added and processed using server 1 until second 2.
*
* - At second 1, task 1 is added and processed using server 4 until second 2.
*
* - At second 2, servers 1 and 4 become free. Task 2 is added and processed using server 1 until second 4.
*
* - At second 3, task 3 is added and processed using server 4 until second 7.
*
* - At second 4, server 1 becomes free. Task 4 is added and processed using server 1 until second 9.
*
* - At second 5, task 5 is added and processed using server 3 until second 7.
*
* - At second 6, task 6 is added and processed using server 2 until second 7.
*
* **Constraints:**
*
* * `servers.length == n`
* * `tasks.length == m`
* * 1 <= n, m <= 2 * 105
* * 1 <= servers[i], tasks[j] <= 2 * 105
**/
public class Solution {
public int[] assignTasks(int[] servers, int[] tasks) {
PriorityQueue serverq =
new PriorityQueue<>(
(i1, i2) ->
servers[i1] != servers[i2] ? servers[i1] - servers[i2] : i1 - i2);
for (int i = 0; i < servers.length; i++) {
serverq.offer(i);
}
PriorityQueue activetaskq = new PriorityQueue<>((i1, i2) -> i1[1] - i2[1]);
int time = 0;
int[] res = new int[tasks.length];
for (int i = 0; i < tasks.length; i++) {
time = Math.max(time, i);
while (!activetaskq.isEmpty() && activetaskq.peek()[1] <= i) {
int[] task = activetaskq.poll();
serverq.offer(task[0]);
}
if (serverq.isEmpty()) {
int[] toptask = activetaskq.peek();
while (!activetaskq.isEmpty() && activetaskq.peek()[1] == toptask[1]) {
int[] task = activetaskq.poll();
serverq.offer(task[0]);
}
time = toptask[1];
}
int server = serverq.poll();
res[i] = server;
activetaskq.offer(new int[] {server, time + tasks[i]});
}
return res;
}
}
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