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solutions: 2432 - The Employee That Worked on the Longest Task (Easy)
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solutions/2400-2499/2432-the-employee-that-worked-on-the-longest-task-easy.md
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description: 'Author: @heder | https://leetcode.com/problems/the-employee-that-worked-on-the-longest-task/' | ||
tags: [Array] | ||
--- | ||
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# 2432 - The Employee That Worked on the Longest Task (Easy) | ||
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## Problem Link | ||
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https://leetcode.com/problems/the-employee-that-worked-on-the-longest-task/ | ||
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## Problem Statement | ||
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There are `n` employees, each with a unique id from `0` to `n - 1`. | ||
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You are given a 2D integer array `logs` where `logs[i] = [idi, leaveTimei]` where: | ||
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- `idi` is the id of the employee that worked on the `ith` task, and | ||
- `leaveTimei` is the time at which the employee finished the `ith` task. All the values `leaveTimei` are **unique**. | ||
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Note that the `ith` task starts the moment right after the `(i - 1)th` task ends, and the `0th` task starts at time `0`. | ||
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Return *the id of the employee that worked the task with the longest time.* If there is a tie between two or more employees, return*the **smallest** id among them*. | ||
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**Example 1:** | ||
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``` | ||
Input: n = 10, logs = [[0,3],[2,5],[0,9],[1,15]] | ||
Output: 1 | ||
Explanation: | ||
Task 0 started at 0 and ended at 3 with 3 units of times. | ||
Task 1 started at 3 and ended at 5 with 2 units of times. | ||
Task 2 started at 5 and ended at 9 with 4 units of times. | ||
Task 3 started at 9 and ended at 15 with 6 units of times. | ||
The task with the longest time is task 3 and the employee with id 1 is the one that worked on it, so we return 1. | ||
``` | ||
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**Example 2:** | ||
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``` | ||
Input: n = 26, logs = [[1,1],[3,7],[2,12],[7,17]] | ||
Output: 3 | ||
Explanation: | ||
Task 0 started at 0 and ended at 1 with 1 unit of times. | ||
Task 1 started at 1 and ended at 7 with 6 units of times. | ||
Task 2 started at 7 and ended at 12 with 5 units of times. | ||
Task 3 started at 12 and ended at 17 with 5 units of times. | ||
The tasks with the longest time is task 1. The employee that worked on it is 3, so we return 3. | ||
``` | ||
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**Example 3:** | ||
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``` | ||
Input: n = 2, logs = [[0,10],[1,20]] | ||
Output: 0 | ||
Explanation: | ||
Task 0 started at 0 and ended at 10 with 10 units of times. | ||
Task 1 started at 10 and ended at 20 with 10 units of times. | ||
The tasks with the longest time are tasks 0 and 1. The employees that worked on them are 0 and 1, so we return the smallest id 0. | ||
``` | ||
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**Constraints:** | ||
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- `2 <= n <= 500` | ||
- `1 <= logs.length <= 500` | ||
- `logs[i].length == 2` | ||
- `0 <= idi <= n - 1` | ||
- `1 <= leaveTimei <= 500` | ||
- `idi != idi+1` | ||
- `leaveTimei` are sorted in a strictly increasing order. | ||
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## Approach 1: Single Pass | ||
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This could code be a little bit more compact, but I like unpacking the input and giving it things meaningful names. | ||
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- Time complexity: $$O(size(logs))$$ we need to look at all the entries in logs. | ||
- Space complexity: $$O(1)$$ only a few integers as state. | ||
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<Tabs> | ||
<TabItem value="cpp" label="C++"> | ||
<SolutionAuthor name="@heder"/> | ||
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```cpp | ||
static int hardestWorker(int n, const vector<vector<int>>& logs) { | ||
int start_time = 0; | ||
int worker = n; | ||
int longest_task = 0; | ||
for (const vector<int>& log : logs) { | ||
const int id = log[0]; | ||
const int end_time = log[1]; | ||
const int time = end_time - start_time; | ||
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if (time > longest_task || time == longest_task && id < worker) { | ||
worker = id; | ||
longest_task = time; | ||
} | ||
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start_time = end_time; | ||
} | ||
return worker; | ||
} | ||
``` | ||
</TabItem> | ||
</Tabs> |