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Sliding Window Max Subarray
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Sliding Window Max Subarray

EasyPython

Problem

Wise. Energy analyzes consecutive energy readings to identify the highest-consumption period of a fixed duration. Given an integer array and a window size k, return the maximum sum of any contiguous subarray containing exactly k elements.

Formal Specification

Implement max_window_sum(nums, k).

  • Input: nums, a non-empty list of integers representing energy readings, and k, an integer window size.
  • Output: An integer equal to the largest sum among all contiguous subarrays of length k.
  • Assume 1 <= k <= len(nums).

The window must contain exactly k consecutive readings. Do not sort or rearrange the input.

Constraints

  • 1 <= len(nums) <= 10^5
  • 1 <= k <= len(nums)
  • -10^9 <= nums[i] <= 10^9
  • The result fits within a signed 64-bit integer.

Function Signature

def max_window_sum(nums, k):
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