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This approach involves converting each character to its corresponding position in the alphabet and forming a numeric string. We then sum the digits of this number 'k' times to get the resulting integer.
Time Complexity: O(N + kM), where N is the length of the string and M is the number of digits in the transformed number.
Space Complexity: O(M), as we store the transformed number as a string.
1def digit_sum(num):
2 return sum(int(digit) for digit in num)
3
4def sum_of_digits_after_convert(s, k):
5 num = ''.join(str(ord(c) - ord('a') + 1) for c in s)
6 for _ in range(k):
7 num = str(digit_sum(num))
8 return int(num)
9
10print(sum_of_digits_after_convert('zbax', 2))Python provides simple handling of strings and numbers. The string conversion is achieved using list comprehensions, and the repeated digit sum calculation is handled using a loop and the digit_sum function.
This approach directly calculates the digit sum during the conversion of the string to a number by aggregating the sum of each digit representation, reducing the need for intermediate large integer string handling.
Time Complexity: O(N + k*logM), where M is the intermediate sum value.
Space Complexity: O(1).
1
JavaScript makes use of modular arithmetic directly to compute digit sums during conversion with compact loop-based sum calculations, further simplifying the process for k transformations.