I went straight for the word-aware version because it felt more 'real' and I thought it would impress them.
Start by clarifying the requirements and edge cases, then propose a clean interface that handles both hard and soft wrapping variants. Implement each variant with careful index management, and discuss trade-offs like time/space complexity and handling of long words and trailing whitespace.
Pro tip: Demonstrate production awareness by discussing how you'd handle Unicode characters (e.g., combining marks, emojis) and whether the width limit is in bytes or code points, as this is a common pitfall in real-world text processing.
Ask about the expected behavior for edge cases: single words longer than L, trailing whitespace, multiple consecutive spaces, and whether the input can contain newlines. Confirm if the output should preserve or trim whitespace.
Propose a function signature that takes the string and L, and returns a list of lines. Consider a parameter to switch between hard and soft wrapping, or implement two separate functions.
For hard wrapping, simply slice the string into chunks of length L. Handle the last chunk if the string length is not a multiple of L. Discuss whether to include trailing whitespace in the last line.
For soft wrapping, iterate through the string, find the last whitespace before L, break there, and continue. If no whitespace is found, break at L (or handle long words by breaking them). Trim trailing whitespace from each line.
Discuss time and space complexity: both approaches are O(n) time and O(n) space for the output. Mention trade-offs: hard wrapping is simpler but may split words; soft wrapping is more readable but requires more logic and may still split long words.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.