I started okay, got the basic word-wrapping loop down pretty fast.
Start by clarifying the requirements and edge cases, then propose a greedy line-by-line simulation that tokenizes the text while preserving explicit newlines and handling whitespace normalization. Discuss the special case of a word longer than the max width, and analyze time/space complexity.
Pro tip: Explicitly state your assumptions about whitespace normalization (e.g., collapsing multiple spaces) and confirm them with the interviewer before coding. This shows attention to detail and avoids misalignment on ambiguous requirements.
Ask about whitespace handling (collapse multiple spaces? trim leading/trailing?), newline behavior (reset line count? preserve empty lines?), and the definition of a 'word' (split on spaces only or all whitespace?). Confirm how to handle words longer than max width.
Describe a greedy approach: iterate through the text, building lines by adding words until the next word would exceed the max width, then start a new line. Handle explicit newlines by resetting the current line and incrementing the line count.
Explain how you normalize whitespace: split on whitespace, ignore empty tokens, and treat newlines as forced line breaks. Discuss whether to trim leading/trailing spaces and how to handle multiple consecutive newlines.
If a word exceeds max width, decide whether to break it (e.g., split into chunks) or place it on its own line. State the chosen behavior and its implications (e.g., breaking words may require hyphenation or not).
State time complexity O(n) where n is the number of characters, and space O(1) if processing in a streaming fashion. Walk through test cases: empty string, single long word, multiple newlines, and mixed whitespace.
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