I recognized the merge intervals pattern pretty fast, which actually slowed me down a bit because I kept second-guessing whether they wanted something fancier.
First, clarify the definition of gaps and edge cases like overlapping intervals, touching intervals, and infinite gaps. Then, propose sorting the intervals by start time and merging them to identify uncovered ranges. Finally, iterate through the merged intervals to collect gaps between them, handling boundaries appropriately.
Pro tip: Explicitly discuss how you handle intervals that just touch (e.g., [1,2] and [2,3])—whether they create a zero-length gap or no gap—and mention that gaps can be unbounded on the ends if the problem allows.
Ask whether intervals are closed/open, if gaps can be infinite, and how to treat touching intervals. Confirm output format and whether intervals are sorted.
Sort the input intervals by their start value to enable linear merging. This is crucial for O(n log n) efficiency.
Iterate through sorted intervals, merging any that overlap or touch (depending on definition). Keep track of the current merged interval's end.
After merging, iterate through the merged list and for each consecutive pair, if the next start is greater than the previous end, record the gap (prev.end, next.start).
If infinite gaps are allowed, include (-inf, first.start) and (last.end, +inf). Otherwise, only return finite gaps. Return the list of gaps.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.