mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-24 13:31:07 +00:00
33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
"""
|
|
Auther : Yvonne
|
|
|
|
This is a pure Python implementation of Dynamic Programming solution to the longest_sub_array problem.
|
|
|
|
The problem is :
|
|
Given an array, to find the longest and continuous sub array and get the max sum of the sub array in the given array.
|
|
"""
|
|
|
|
|
|
class SubArray:
|
|
def __init__(self, arr):
|
|
# we need a list not a string, so do something to change the type
|
|
self.array = arr.split(",")
|
|
print(("the input array is:", self.array))
|
|
|
|
def solve_sub_array(self):
|
|
rear = [int(self.array[0])] * len(self.array)
|
|
sum_value = [int(self.array[0])] * len(self.array)
|
|
for i in range(1, len(self.array)):
|
|
sum_value[i] = max(
|
|
int(self.array[i]) + sum_value[i - 1], int(self.array[i])
|
|
)
|
|
rear[i] = max(sum_value[i], rear[i - 1])
|
|
return rear[len(self.array) - 1]
|
|
|
|
|
|
if __name__ == "__main__":
|
|
whole_array = input("please input some numbers:")
|
|
array = SubArray(whole_array)
|
|
re = array.solve_sub_array()
|
|
print(("the results is:", re))
|