
In an evaluation of a new keypad design, a tester goes through a sequence of key presses. Each key, identified by characters in the string keysPressed, is pressed exactly when the previous key was released, starting from time 0. The times when each key is released are recorded in the list releaseTimes. To determine a key's hold duration, the difference between its release time and the previous key's release time is calculated. The initial key's hold time is simply its release time since it starts from 0.
The challenge is to identify the key that was held down the longest during the test. If multiple keys share the longest duration, the key that is lexicographically larger should be returned. This evaluation must consider possible multiple presses of the same key, each potentially having different durations.
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releaseTimes.length == nkeysPressed.length == n2 <= n <= 10001 <= releaseTimes[i] <= 109releaseTimes[i] < releaseTimes[i+1]keysPressed contains only lowercase English letters.Understanding the longest keypress requires calculating the duration each key was held. We can break down the solution into the following steps:
keysPressed and releaseTimes arrays:releaseTimes[0].This approach ensures that each keypress's duration is evaluated, and through a direct comparison, the correct key is selected, respecting both the duration and lexicographical precedence rules.
This solution, implemented in C++, is designed to determine the slowest key from a series of key presses. It involves calculating the longest duration a key remains pressed based on timing data provided for each key release.
Follow these steps in the provided code to understand how to find the slowest key:
numberOfKeys with the size of releaseTimes to get the total number of key presses.maxDuration to the duration of the first key press (releaseTimes[0]), and resultKey to the first key in keysPressed.releaseTimes starting from the second key press (index 1).duration for the current key by subtracting the previous release time from the current one.duration of the current key with maxDuration.duration is greater, update maxDuration and set resultKey to the current key.duration is equal to the maxDuration, further compare the keys. Update resultKey if the current key is lexicographically greater.resultKey will store the character of the slowest key.This approach ensures that you efficiently find the key with the longest press time, considering all edge cases, such as when two keys have the same duration.
The provided Java solution efficiently determines the slowest key from a sequence of key presses. The method findSlowestKey accepts two parameters: pressTimes, an array of integers where each integer represents the time at which a key is pressed, and keySequence, a string where each character represents a specific key pressed at the corresponding time in the pressTimes array.
count to the length of the pressTimes array.maxDuration to the duration of the first key pressed, as indicated by the first element in the pressTimes.resultKey to the first character of the keySequence.maxDuration. If the current duration is greater or if it is the same but the key itself has a higher lexicographical order than the current slowest key, update maxDuration and resultKey.resultKey) with the longest press time or the lexicographically greater key in case of tie durations, which is considered the slowest.This solution effectively utilizes a for-loop and conditional statements to compare each key's press duration and ensures the correct slowest key is identified with a time complexity of O(n), where n is the number of keys pressed.
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