Sum of Digits of String After Convert - Problem
Transform and Sum Challenge
You're given a string
Step 1: Letter-to-Number Conversion
Convert each letter to its alphabetical position:
Step 2: Digit Sum Transformation
Replace the resulting number with the sum of its digits, and repeat this process exactly
Example walkthrough:
For
1. Convert:
2. Transform #1:
3. Transform #2:
Return the final integer after all transformations are complete.
You're given a string
s containing only lowercase English letters and an integer k. Your mission is to perform a magical transformation process:Step 1: Letter-to-Number Conversion
Convert each letter to its alphabetical position:
'a' → 1, 'b' → 2, ..., 'z' → 26Step 2: Digit Sum Transformation
Replace the resulting number with the sum of its digits, and repeat this process exactly
k times.Example walkthrough:
For
s = "zbax" and k = 2:1. Convert:
"zbax" → "26" + "2" + "1" + "24" → "262124"2. Transform #1:
262124 → 2+6+2+1+2+4 = 173. Transform #2:
17 → 1+7 = 8Return the final integer after all transformations are complete.
Input & Output
example_1.py — Basic Case
$
Input:
s = "iiii", k = 1
›
Output:
36
💡 Note:
Convert: i=9, so "iiii" becomes "9999" → 9+9+9+9 = 36. After 1 transformation: 36
example_2.py — Multiple Transforms
$
Input:
s = "leetcode", k = 2
›
Output:
6
💡 Note:
Convert: "leetcode" → "12551201545" → 1+2+5+5+1+2+0+1+5+4+5 = 31. Transform #1: 31 → 3+1 = 4. But wait, let me recalculate: l=12,e=5,e=5,t=20,c=3,o=15,d=4,e=5 → digit sum = 1+2+5+5+2+0+3+1+5+4+5 = 33 → 3+3 = 6
example_3.py — Single Character
$
Input:
s = "z", k = 1
›
Output:
8
💡 Note:
Convert: z=26 → 2+6 = 8. After 1 transformation: 8
Visualization
Tap to expand
Understanding the Visualization
1
Letter Recognition
Each letter reveals its numerical position in the ancient alphabet
2
Digit Extraction
Large numbers are broken down into their constituent digits
3
Magical Compression
Digits are summed together k times to reveal the hidden message
Key Takeaway
🎯 Key Insight: Instead of creating massive concatenated numbers that could cause overflow, we sum digits during the initial conversion process, making the algorithm more efficient and robust.
Time & Space Complexity
Time Complexity
O(n + k*log(result))
n for processing each character, k transformations with log(result) digits each
⚡ Linearithmic
Space Complexity
O(1)
Only using constant extra space for variables
✓ Linear Space
Constraints
- 1 ≤ s.length ≤ 100
- 1 ≤ k ≤ 10
- s consists of lowercase English letters only
- The result will always fit in a 32-bit integer
💡
Explanation
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