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1 change: 1 addition & 0 deletions _black_version.py
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
version = "23.3.0"
43 changes: 43 additions & 0 deletions dynamic_programming/max_sub_array_sum.py
Original file line number Diff line number Diff line change
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def max_sub_array_sum(arr: list[int], size: int) -> int:
"""
Finds the maximum sum of a subarray within the given array using Kadane's algorithm.

Args:
arr (list): The input array of numbers.
size (int): The size of the array.

Returns:
int: The maximum sum of a subarray within the array.

Example:
>>> arr = [-2, -3, 4, -1, -2, 5, -3]
>>> max_sub_array_sum(arr, len(arr))
6
In this example, the input array is [-2, -3, 4, -1, -2, 5, -3].
The maximum sum of a subarray within this array is 6,
which corresponds to the subarray [4, -1, -2, 5].

>>> arr = [-3, -4, 5, -1, 2, -4, 6, -1]
>>> max_sub_array_sum(arr, len(arr))
8

References:
https://en.wikipedia.org/wiki/Maximum_subarray_problem
"""
max_till_now = arr[0]
max_ending = 0

for i in range(size):
max_ending = max_ending + arr[i]
if max_ending < 0:
max_ending = 0
elif max_till_now < max_ending:
max_till_now = max_ending

return max_till_now


if __name__ == "__main__":
import doctest

doctest.testmod()
Empty file.
37 changes: 37 additions & 0 deletions web_programming/sliding_window_generators.py
Original file line number Diff line number Diff line change
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from collections.abc import Generator


def sliding_window(
elements: list[int], window_size: int
) -> Generator[list[int], None, None]:
"""
Generate sliding windows of size window_size from the given elements.

Args:
elements (list): The input list of elements.
window_size (int): The size of the sliding window.

Returns:
generator: A generator that yields sublists of size window_size.

Example:
>>> lst = [1, 2, 3, 4, 5, 6, 7, 8]
>>> sw_gen = sliding_window(lst, 3)
>>> print(next(sw_gen))
[1, 2, 3]
>>> print(next(sw_gen))
[2, 3, 4]

References:
https://stackoverflow.com/questions/8269916/what-is-sliding-window-algorithm-examples
"""
if len(elements) <= window_size:
yield elements
for i in range(len(elements) - window_size + 1):
yield elements[i : i + window_size]


if __name__ == "__main__":
import doctest

doctest.testmod()