Merge pull request #2 from ankana2113/kadane_algo

Kadane algo
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Ankana Pari 2024-10-24 22:53:37 +05:30 committed by GitHub
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# Kadane's algorithm
def kadanes_algorithm(arr: list[int]) -> int:
"""
Function to find the maximum sum of a contiguous subarray using Kadane's algorithm
>>> kadanes_algorithm([-2, 1, -3, 4, -1, 2, 1, -5, 4])
6
>>> kadanes_algorithm([-1, -2, -3, -4])
-1
>>> kadanes_algorithm([5, 4, -1, 7, 8])
23
>>> kadanes_algorithm([1])
1
>>> kadanes_algorithm([-1, 2, 3, -5, 4])
5
"""
# initializing variables
max_current = arr[0] # store the current max sum
max_global = arr[0] # store the global max sum
# looping through the array starting at the second element
for i in range(1, len(arr)):
# update current max sum by choosing the maximum between
# current element alone or current element plus previous max
max_current = max(arr[i], max_current + arr[i])
# update global max sum if current max is larger
max_global = max(max_current, max_global)
return max_global
if __name__ == "__main__":
import doctest
doctest.testmod()

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def largest_rectangle_area(heights: list[int]) -> int:
"""
Inputs an array of integers representing the heights of bars,
and returns the area of the largest rectangle that can be formed
>>> largest_rectangle_area([2, 1, 5, 6, 2, 3])
10
>>> largest_rectangle_area([2, 4])
4
>>> largest_rectangle_area([6, 2, 5, 4, 5, 1, 6])
12
>>> largest_rectangle_area([1])
1
"""
stack: list[int] = []
max_area = 0
heights = [*heights, 0] # make a new list by appending the sentinel 0
n = len(heights)
for i in range(n):
# make sure the stack remains in increasing order
while stack and heights[i] < heights[stack[-1]]:
h = heights[stack.pop()] # height of the bar
# if stack is empty, it means entire width can be taken from index 0 to i-1
w = i if not stack else i - stack[-1] - 1 # calculate width
max_area = max(max_area, h * w)
stack.append(i)
return max_area
if __name__ == "__main__":
import doctest
doctest.testmod()