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"""
Author : 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.
"""
classSubArray:
def__init__(self, arr):
# we need a list not a string, so do something to change the type
self.array=arr.split(",")
defsolve_sub_array(self):
rear= [int(self.array[0])] *len(self.array)
sum_value= [int(self.array[0])] *len(self.array)
foriinrange(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])
returnrear[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))