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46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
"""
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Given an array of integer elements and an integer 'k', we are required to find the
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maximum sum of 'k' consecutive elements in the array.
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Instead of using a nested for loop, in a Brute force approach we will use a technique
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called 'Window sliding technique' where the nested loops can be converted to a single
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loop to reduce time complexity.
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"""
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from __future__ import annotations
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def max_sum_in_array(array: list[int], k: int) -> int:
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"""
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Returns the maximum sum of k consecutive elements
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>>> arr = [1, 4, 2, 10, 2, 3, 1, 0, 20]
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>>> k = 4
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>>> max_sum_in_array(arr, k)
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24
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>>> k = 10
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>>> max_sum_in_array(arr,k)
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Traceback (most recent call last):
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...
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ValueError: Invalid Input
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>>> arr = [1, 4, 2, 10, 2, 13, 1, 0, 2]
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>>> k = 4
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>>> max_sum_in_array(arr, k)
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27
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"""
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if len(array) < k or k < 0:
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raise ValueError("Invalid Input")
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max_sum = current_sum = sum(array[:k])
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for i in range(len(array) - k):
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current_sum = current_sum - array[i] + array[i + k]
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max_sum = max(max_sum, current_sum)
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return max_sum
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if __name__ == "__main__":
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from doctest import testmod
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from random import randint
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testmod()
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array = [randint(-1000, 1000) for i in range(100)]
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k = randint(0, 110)
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print(f"The maximum sum of {k} consecutive elements is {max_sum_in_array(array,k)}")
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