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.
Example 1:
Input: nums = [1,-2,3,-2] Output: 3 Explanation: Subarray [3] has maximum sum 3.
Example 2:
Input: nums = [5,-3,5] Output: 10 Explanation: Subarray [5,5] has maximum sum 5 + 5 = 10.
Example 3:
Input: nums = [-3,-2,-3] Output: -2 Explanation: Subarray [-2] has maximum sum -2.
Constraints:
n == nums.length1 <= n <= 3 * 104-3 * 104 <= nums[i] <= 3 * 104
ChatGPT's Solution:
class Solution: def maxSubarraySumCircular(self, nums: List[int]) -> int: def kadane(nums: List[int]) -> int: max_sum = curr_sum = nums[0] for num in nums[1:]: curr_sum = max(num, curr_sum + num) max_sum = max(max_sum, curr_sum) return max_sum total_sum = sum(nums) max_kadane = kadane(nums) # Max subarray sum in non-circular case # Min subarray sum to find max circular sum min_sum = curr_min = nums[0] for num in nums[1:]: curr_min = min(num, curr_min + num) min_sum = min(min_sum, curr_min) max_circular = total_sum - min_sum if total_sum != min_sum else max_kadane return max(max_kadane, max_circular)

Explanation:
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Kadane’s Algorithm (
kadane(nums)):-
Finds the maximum subarray sum for the non-circular case.
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Total Sum (
total_sum):-
Computes the sum of all elements in
nums.
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Min Subarray Sum (
min_sum):-
Finds the minimum subarray sum using a variation of Kadane’s Algorithm.
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Max Circular Sum:
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If the whole array isn't the min subarray, calculate
total_sum - min_sum. -
Otherwise, return
max_kadane(to avoid an empty subarray).
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Return the Maximum of the Two Cases:
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The maximum subarray sum is the greater of
max_kadane(non-circular) andmax_circular(circular).
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