Consolidate duplicate implementations of max subarray (#8849)

* Remove max subarray sum duplicate implementations

* updating DIRECTORY.md

* Rename max_sum_contiguous_subsequence.py

* Fix typo in dynamic_programming/max_subarray_sum.py

* Remove duplicate divide and conquer max subarray

* updating DIRECTORY.md

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Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>

maths/kadanes.py

@@ -1,63 +0,0 @@
-"""
-Kadane's algorithm to get maximum subarray sum
-https://medium.com/@rsinghal757/kadanes-algorithm-dynamic-programming-how-and-why-does-it-work-3fd8849ed73d
-https://en.wikipedia.org/wiki/Maximum_subarray_problem
-"""
-test_data: tuple = ([-2, -8, -9], [2, 8, 9], [-1, 0, 1], [0, 0], [])
-
-
-def negative_exist(arr: list) -> int:
-    """
-    >>> negative_exist([-2,-8,-9])
-    -2
-    >>> [negative_exist(arr) for arr in test_data]
-    [-2, 0, 0, 0, 0]
-    """
-    arr = arr or [0]
-    max_number = arr[0]
-    for i in arr:
-        if i >= 0:
-            return 0
-        elif max_number <= i:
-            max_number = i
-    return max_number
-
-
-def kadanes(arr: list) -> int:
-    """
-    If negative_exist() returns 0 than this function will execute
-    else it will return the value return by negative_exist function
-
-    For example: arr = [2, 3, -9, 8, -2]
-        Initially we set value of max_sum to 0 and max_till_element to 0 than when
-        max_sum is less than max_till particular element it will assign that value to
-        max_sum and when value of max_till_sum is less than 0 it will assign 0 to i
-        and after that whole process, return the max_sum
-    So the output for above arr is 8
-
-    >>> kadanes([2, 3, -9, 8, -2])
-    8
-    >>> [kadanes(arr) for arr in test_data]
-    [-2, 19, 1, 0, 0]
-    """
-    max_sum = negative_exist(arr)
-    if max_sum < 0:
-        return max_sum
-
-    max_sum = 0
-    max_till_element = 0
-
-    for i in arr:
-        max_till_element += i
-        max_sum = max(max_sum, max_till_element)
-        max_till_element = max(max_till_element, 0)
-    return max_sum
-
-
-if __name__ == "__main__":
-    try:
-        print("Enter integer values sepatated by spaces")
-        arr = [int(x) for x in input().split()]
-        print(f"Maximum subarray sum of {arr} is {kadanes(arr)}")
-    except ValueError:
-        print("Please enter integer values.")

maths/largest_subarray_sum.py

@@ -1,21 +0,0 @@
-from sys import maxsize
-
-
-def max_sub_array_sum(a: list, size: int = 0):
-    """
-    >>> max_sub_array_sum([-13, -3, -25, -20, -3, -16, -23, -12, -5, -22, -15, -4, -7])
-    -3
-    """
-    size = size or len(a)
-    max_so_far = -maxsize - 1
-    max_ending_here = 0
-    for i in range(0, size):
-        max_ending_here = max_ending_here + a[i]
-        max_so_far = max(max_so_far, max_ending_here)
-        max_ending_here = max(max_ending_here, 0)
-    return max_so_far
-
-
-if __name__ == "__main__":
-    a = [-13, -3, -25, -20, 1, -16, -23, -12, -5, -22, -15, -4, -7]
-    print(("Maximum contiguous sum is", max_sub_array_sum(a, len(a))))