Quick Overview

This question evaluates a candidate's understanding of interval arithmetic, sorting and array manipulation, specifically the ability to merge overlapping ranges efficiently.

Merge overlapping time intervals

Company: Meta

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: easy

Interview Round: Technical Screen

## Problem You are given a list of **closed** intervals `intervals`, where each interval is `[start, end]` and `start <= end`. Merge all intervals that overlap and return the resulting list of merged intervals. Two intervals `[a, b]` and `[c, d]` are considered overlapping if `c <= b` (i.e., touching at an endpoint also counts as overlapping). ## Input - `intervals`: a list of `n` intervals, each represented as two integers `[start, end]`. ## Output - A list of merged, non-overlapping intervals, sorted by increasing `start`. ## Constraints - `0 <= n <= 1e5` - `-1e9 <= start <= end <= 1e9` ## Example Input: `[[1,3],[2,6],[8,10],[15,18]]` Output: `[[1,6],[8,10],[15,18]]`

Quick Answer: This question evaluates a candidate's understanding of interval arithmetic, sorting and array manipulation, specifically the ability to merge overlapping ranges efficiently.

Merge overlapping closed time intervals and return sorted non-overlapping intervals.

Constraints

  • Inputs are Python literals matching the function signature.
  • Return a deterministic exact-match value.

Examples

Input: ([[1,3],[2,6],[8,10],[15,18]],)

Expected Output: [[1, 6], [8, 10], [15, 18]]

Explanation: Overlapping intervals merge.

Input: ([[1,4],[4,5]],)

Expected Output: [[1, 5]]

Explanation: Touching closed intervals merge.

Hints

  1. Clarify edge cases before coding.
  2. Keep the return value deterministic.

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