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This method involves using two pointers to count the number of vowels in each half of the string.
By using a set to identify vowels, iterate through each character in both halves. Compare the final counts for equality to determine if they are alike.
Time Complexity: O(n), where n is the length of the string, as we iterate through the string once.
Space Complexity: O(1), since we use only a fixed amount of extra space.
1def halvesAreAlike(s: str) -> bool:
2 vowels = set('aeiouAEIOU')
3 n = len(s) // 2
4 count1 = sum(1 for i in range(n) if s[i] in vowels)
5 count2 = sum(1 for i in range(n, len(s)) if s[i] in vowels)
6 return count1 == count2In this Python solution, a set is used to easily check if a character is a vowel. The string is split into two halves, and a generator expression counts the vowels in each half. If the counts are equal, the function returns true.
This approach directly counts vowels in both halves of the string through string slicing.
Both halves of the string are iterated efficiently with a loop, accumulating vowel counts independently. The results are directly compared to ensure both halves are alike.
Time Complexity: O(n) - single pass counts vowels for two halves.
Space Complexity: O(1) - constant time storage allocation.
Applying a detailed Pythonic idiomatic approach, lists compile intermediary forecasts. This technique harnesses brute-force slicing but Audits each slice-pass for variance, restoring space efficacy at minimal processing expense.