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This question evaluates algorithmic problem-solving with arrays and numerical edge cases, including reasoning about products across contiguous segments and sign/zero handling.

  • medium
  • Bytedance
  • Coding & Algorithms
  • Machine Learning Engineer

Find Highest Product Segment

Company: Bytedance

Role: Machine Learning Engineer

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Technical Screen

Given an integer array `nums`, find the maximum product obtainable from any non-empty contiguous segment. A contiguous segment must contain adjacent elements from the array. The array may contain positive numbers, negative numbers, and zeros. Return the largest possible product. Example 1: - Input: `[2, 3, -2, 4]` - Output: `6` - Explanation: The segment `[2, 3]` has product `6`. Example 2: - Input: `[-2, 0, -1]` - Output: `0` - Explanation: The best segment is `[0]`. Aim for linear time complexity.

Quick Answer: This question evaluates algorithmic problem-solving with arrays and numerical edge cases, including reasoning about products across contiguous segments and sign/zero handling.

Return the maximum product of any non-empty contiguous segment.

Constraints

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

Examples

Input: ([2,3,-2,4],)

Expected Output: 6

Explanation: Best segment is [2,3].

Input: ([-2,0,-1],)

Expected Output: 0

Explanation: Zero is better than negative products.

Input: ([-2,3,-4],)

Expected Output: 24

Explanation: Two negatives can produce a large positive product.

Hints

  1. Clarify edge cases before coding.
  2. Keep the return value deterministic.
Last updated: Jun 27, 2026

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