""" author : Mayank Kumar Jha (mk9440) """ from typing import List import time import matplotlib.pyplot as plt from random import randint def find_max_sub_array(A,low,high): if low==high: return low,high,A[low] else : mid=(low+high)//2 left_low,left_high,left_sum=find_max_sub_array(A,low,mid) right_low,right_high,right_sum=find_max_sub_array(A,mid+1,high) cross_left,cross_right,cross_sum=find_max_cross_sum(A,low,mid,high) if left_sum>=right_sum and left_sum>=cross_sum: return left_low,left_high,left_sum elif right_sum>=left_sum and right_sum>=cross_sum : return right_low,right_high,right_sum else: return cross_left,cross_right,cross_sum def find_max_cross_sum(A,low,mid,high): left_sum,max_left=-999999999,-1 right_sum,max_right=-999999999,-1 summ=0 for i in range(mid,low-1,-1): summ+=A[i] if summ > left_sum: left_sum=summ max_left=i summ=0 for i in range(mid+1,high+1): summ+=A[i] if summ > right_sum: right_sum=summ max_right=i return max_left,max_right,(left_sum+right_sum) def max_sub_array(nums: List[int]) -> int: """ Finds the contiguous subarray (can be empty array) which has the largest sum and return its sum. >>> max_sub_array([-2,1,-3,4,-1,2,1,-5,4]) 6 >>> max_sub_array([]) 0 >>> max_sub_array([-1,-2,-3]) 0 """ best = 0 current = 0 for i in nums: current += i if current < 0: current = 0 best = max(best, current) return best if __name__=='__main__': inputs=[10,100,1000,10000,50000,100000,200000,300000,400000,500000] tim=[] for i in inputs: li=[randint(1,i) for j in range(i)] strt=time.time() (find_max_sub_array(li,0,len(li)-1)) end=time.time() tim.append(end-strt) print("No of Inputs Time Taken") for i in range(len(inputs)): print(inputs[i],'\t\t',tim[i]) plt.plot(inputs,tim) plt.xlabel("Number of Inputs");plt.ylabel("Time taken in seconds ") plt.show()