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MD ARIFUL HAQUE
MD ARIFUL HAQUE

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3433. Count Mentions Per User

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3433. Count Mentions Per User

Difficulty: Medium

Topics: Array, Math, Sorting, Simulation, Weekly Contest 434

You are given an integer numberOfUsers representing the total number of users and an array events of size n x 3.

Each events[i] can be either of the following two types:

  1. Message Event: ["MESSAGE", "timestampᵢ", "mentions_stringᵢ"]
    • This event indicates that a set of users was mentioned in a message at timestampᵢ.
    • The mentions_stringᵢ string can contain one of the following tokens:
      • id<number>: where <number> is an integer in range [0,numberOfUsers - 1]. There can be multiple ids separated by a single whitespace and may contain duplicates. This can mention even the offline users.
      • ALL: mentions all users.
      • HERE: mentions all online users.
  2. Offline Event: ["OFFLINE", "timestampᵢ", "idᵢ"]
    • This event indicates that the user idᵢ had become offline at timestampᵢ for 60 time units. The user will automatically be online again at time timestampᵢ + 60.

Return an array mentions where mentions[i] represents the number of mentions the user with id i has across all MESSAGE events.

All users are initially online, and if a user goes offline or comes back online, their status change is processed before handling any message event that occurs at the same timestamp.

Note that a user can be mentioned multiple times in a single message event, and each mention should be counted separately.

Example 1:

  • Input: numberOfUsers = 2, events = [["MESSAGE","10","id1 id0"],["OFFLINE","11","0"],["MESSAGE","71","HERE"]]
  • Output: [2,2]
  • Explanation:
    • Initially, all users are online.
    • At timestamp 10, id1 and id0 are mentioned. mentions = [1,1]
    • At timestamp 11, id0 goes offline.
    • At timestamp 71, id0 comes back online and "HERE" is mentioned. mentions = [2,2]

Example 2:

  • Input: numberOfUsers = 2, events = [["MESSAGE","10","id1 id0"],["OFFLINE","11","0"],["MESSAGE","12","ALL"]]
  • Output: [2,2]
  • Explanation:
    • Initially, all users are online.
    • At timestamp 10, id1 and id0 are mentioned. mentions = [1,1]
    • At timestamp 11, id0 goes offline.
    • At timestamp 12, "ALL" is mentioned. This includes offline users, so both id0 and id1 are mentioned. mentions = [2,2]

Example 3:

  • Input: numberOfUsers = 2, events = [["OFFLINE","10","0"],["MESSAGE","12","HERE"]]
  • Output: [0,1]
  • Explanation:
    • Initially, all users are online.
    • At timestamp 10, id0 goes offline.
    • At timestamp 12, "HERE" is mentioned. Because id0 is still offline, they will not be mentioned. mentions = [0,1]

Constraints:

  • 1 <= numberOfUsers <= 100
  • 1 <= events.length <= 100
  • events[i].length == 3
  • events[i][0] will be one of MESSAGE or OFFLINE.
  • 1 <= int(events[i][1]) <= 10⁵
  • The number of id<number> mentions in any "MESSAGE" event is between 1 and 100.
  • 0 <= <number> <= numberOfUsers - 1
  • It is guaranteed that the user id referenced in the OFFLINE event is online at the time the event occurs.

Hint:

  1. Sort events by timestamp and then process each event.
  2. Maintain two sets for offline and online user IDs.

Solution:

We need to track user mentions from MESSAGE events, considering that users can go offline and come back online after 60 time units. We must handle three types of mentions:

  • id<number>: Mention specific users (can be multiple, duplicate)
  • ALL: Mention all users (online and offline)
  • HERE: Mention only online users

Approach:

  1. Sort events by timestamp to process in chronological order
  2. Track when users come back online using a priority queue or by checking if current time >= offline_time + 60
  3. For each timestamp, first process any users coming back online, then process offline events, then message events
  4. Count all mentions (including duplicates in the same message)

Let's implement this solution in PHP: 3433. Count Mentions Per User

<?php
/**
 * @param Integer $numberOfUsers
 * @param String[][] $events
 * @return Integer[]
 */
function countMentions($numberOfUsers, $events) {
    ...
    ...
    ...
    /**
     * go to ./solution.php
     */
}

// Test cases
echo countMentions(2, [["MESSAGE","10","id1 id0"],["OFFLINE","11","0"],["MESSAGE","71","HERE"]]) . "\n";        // Output: [2,2]
echo countMentions(2, [["MESSAGE","10","id1 id0"],["OFFLINE","11","0"],["MESSAGE","12","ALL"]]) . "\n";         // Output: [2,2]
echo countMentions(2, [["OFFLINE","10","0"],["MESSAGE","12","HERE"]]) . "\n";                                   // Output: [0,1]
?>
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Explanation:

  1. Sorting: We sort events by timestamp, ensuring OFFLINE events are processed before MESSAGE events when they have the same timestamp.

  2. State Tracking:

    • $mentions: Array to count mentions for each user
    • $offlineUntil: Array to track when each user comes back online (0 means online)

  3. Processing Loop:

    • For each timestamp, first check if any users should come back online
    • Process OFFLINE events by setting the user's offline time to current timestamp + 60
    • Process MESSAGE events by updating mention counts based on the mention type

  4. Mention Types:

    • ALL: Increment count for all users
    • HERE: Only increment for users who are online ($offlineUntil[$i] === 0)
    • Individual IDs: Parse each token, extract user ID, and increment count

Complexity Analysis

  • Time Complexity: O(n log n + n * k), where n is number of events and k is number of users (up to 100)
  • Space Complexity: O(k), for storing mentions and offline status

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