#1945

Sum of Digits of String After Convert

Easy
StringSimulationHash MapArray
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Approaches

Brute ForceOptimal
Complexity Comparison
Brute ForceOptimal Solution
Time
O(n²)
O(n)
Space
O(1)
O(1)
💡

Intuition

Time O(n)Space O(1)

After the first transformation, the resulting number will be relatively small, allowing us to optimize the repeated summation of digits. Instead of performing the summation k times, we can directly compute the result using properties of digit sums.

⚙️

Algorithm

2 steps
  1. 1Step 1: Convert each character in the string to its corresponding position in the alphabet and calculate the initial digit sum.
  2. 2Step 2: If k > 1, calculate the final result using the properties of digit sums, which can be simplified to a single digit.
solution.py9 lines
1# Full working Python code
2
3def sum_of_digits(s, k):
4    # Step 1: Initial digit sum
5    initial_sum = sum(ord(char) - ord('a') + 1 for char in s)
6    # Step 2: Reduce the sum k times
7    for _ in range(k - 1):
8        initial_sum = sum(int(digit) for digit in str(initial_sum))
9    return initial_sum

Complexity note: The time complexity is O(n) because we only need to iterate through the string once to compute the initial sum. The space complexity is O(1) since we are using a constant amount of space.

  • 1The initial transformation creates a number that can be large, but the subsequent digit sums reduce it significantly.
  • 2Understanding properties of digit sums can help optimize repeated operations.

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