#1945
Sum of Digits of String After Convert
EasyStringSimulationHash MapArray
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(1) |
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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.
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Algorithm
2 steps- 1Step 1: Convert each character in the string to its corresponding position in the alphabet and calculate the initial digit sum.
- 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_sumℹ
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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