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LeetCode 918, Medium. Topics: Array, Divide and Conquer, Dynamic Programming, Queue, Monotonic Queue. View on LeetCode. Generate this problem as a practice environment: tested reference solution, 18 parametrized pytest cases, and a playground notebook:

Problem

Given a circular integer array nums of length n, return the maximum possible sum of a non-empty subarray of nums. A circular array means the end of the array connects to the beginning of the array. Formally, the next element of nums[i] is nums[(i + 1) % n] and the previous element of nums[i] is nums[(i - 1 + n) % n]. A subarray may only include each element of the fixed buffer nums at most once. Formally, for a subarray nums[i], nums[i + 1], ..., nums[j], there does not exist i <= k1, k2 <= j with k1 % n == k2 % n.

Examples

Constraints

  • n == nums.length
  • 1 <= n <= 3 * 10^4
  • -3 * 10^4 <= nums[i] <= 3 * 10^4

Solution

Reference implementation from solution.py on GitHub, full suite in test_solution.py:

Complexity

Tags

NeetCode 250, NeetCode All.
Last modified on August 25, 2026