2024. Maximize the Confusion of an Exam
Description
A teacher is writing a test with n
true/false questions, with 'T'
denoting true and 'F'
denoting false. He wants to confuse the students by maximizing the number of consecutive questions with the same answer (multiple trues or multiple falses in a row).
You are given a string answerKey
, where answerKey[i]
is the original answer to the ith
question. In addition, you are given an integer k
, the maximum number of times you may perform the following operation:
- Change the answer key for any question to
'T'
or'F'
(i.e., setanswerKey[i]
to'T'
or'F'
).
Return the maximum number of consecutive 'T'
s or 'F'
s in the answer key after performing the operation at most k
times.
Example 1:
Input: answerKey = "TTFF", k = 2 Output: 4 Explanation: We can replace both the 'F's with 'T's to make answerKey = "TTTT". There are four consecutive 'T's.
Example 2:
Input: answerKey = "TFFT", k = 1 Output: 3 Explanation: We can replace the first 'T' with an 'F' to make answerKey = "FFFT". Alternatively, we can replace the second 'T' with an 'F' to make answerKey = "TFFF". In both cases, there are three consecutive 'F's.
Example 3:
Input: answerKey = "TTFTTFTT", k = 1 Output: 5 Explanation: We can replace the first 'F' to make answerKey = "TTTTTFTT" Alternatively, we can replace the second 'F' to make answerKey = "TTFTTTTT". In both cases, there are five consecutive 'T's.
Constraints:
n == answerKey.length
1 <= n <= 5 * 104
answerKey[i]
is either'T'
or'F'
1 <= k <= n
Solutions
Solution 1: Sliding Window
We design a function $\textit{f}(c)$, which represents the longest length of consecutive characters under the condition that at most $k$ characters $c$ can be replaced, where $c$ can be 'T' or 'F'. The answer is $\max(\textit{f}('T'), \textit{f}('F'))$.
We iterate through the string $\textit{answerKey}$, using a variable $\textit{cnt}$ to record the number of characters $c$ within the current window. When $\textit{cnt} > k$, we move the left pointer of the window one position to the right. After the iteration ends, the length of the window is the maximum length of consecutive characters.
Time complexity is $O(n)$, where $n$ is the length of the string. Space complexity is $O(1)$.
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