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34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
'''
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Auther : Yvonne
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This is a pure Python implementation of Dynamic Programming solution to the longest_sub_array problem.
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The problem is :
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Given an array, to find the longest and continuous sub array and get the max sum of the sub array in the given array.
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'''
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from __future__ import print_function
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class SubArray:
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def __init__(self, arr):
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# we need a list not a string, so do something to change the type
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self.array = arr.split(',')
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print(("the input array is:", self.array))
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def solve_sub_array(self):
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rear = [int(self.array[0])]*len(self.array)
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sum_value = [int(self.array[0])]*len(self.array)
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for i in range(1, len(self.array)):
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sum_value[i] = max(int(self.array[i]) + sum_value[i-1], int(self.array[i]))
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rear[i] = max(sum_value[i], rear[i-1])
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return rear[len(self.array)-1]
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if __name__ == '__main__':
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whole_array = input("please input some numbers:")
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array = SubArray(whole_array)
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re = array.solve_sub_array()
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print(("the results is:", re))
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