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What is a code to maximize product of a strictly increasing or decreasing subarray and the other steps required given the following:
Maximize product of a strictly increasing or decreasing subarray | Function to find the maximum product of subarray in the array , arr [ ].
Maximum positive product ending at the i - th index.
Minimum negative product ending at the current index.
Maximum product up to i - th index.
Check if an array element is positive or not.
Traverse the array.
If current element is positive.
Update max_ending_here.
Update min_ending_here.
Update flag.
If current element is 0 , reset the start index of subarray.
Update max_ending_here.
Update min_ending_here.
If current element is negative.
Stores max_ending_here.
Update max_ending_here.
Update min_ending_here.
Update max_so_far , if needed.
If no array elements is positive and max_so_far is 0.
Function to find the maximum product of either increasing subarray or the decreasing subarray.
Stores start index of either increasing subarray or the decreasing subarray.
Initially assume maxProd to be 1.
Traverse the array.
Store the longest either increasing subarray or the decreasing subarray whose start index is i.
Check for increasing subarray.
Insert elements of increasing subarray.
Check for decreasing subarray.
Insert elements of decreasing subarray.
Stores maximum subarray product of current increasing or decreasing subarray.
Update maxProd.
Update i.
Finally prmaxProd.
Driver Code"
Solution in Python:
assistant
#Here is code to maximize product of a strictly increasing or decreasing subarray and the other steps required.
 def maxSubarrayProduct ( arr , n ) :
	max_ending_here = 1
	min_ending_here = 1
	max_so_far = 0
	flag = 0
	for i in range ( n ) :
		if ( arr [ i ] > 0 ) :
			max_ending_here = max_ending_here * arr [ i ]
			min_ending_here = min ( min_ending_here * arr [ i ] , 1 )
			flag = 1
		elif ( arr [ i ] == 0 ) :
			max_ending_here = 1
			min_ending_here = 1
		else :
			temp = max_ending_here
			max_ending_here = max ( min_ending_here * arr [ i ] , 1 )
			min_ending_here = temp * arr [ i ]
		if ( max_so_far < max_ending_here ) :
			max_so_far = max_ending_here
	if ( flag == 0 and max_so_far == 0 ) :
		return 0
	return max_so_far
def findMaxProduct ( a , n ) :
	i = 0
	maxProd = - 10 ** 9
	while ( i < n ) :
		v = [ ]
		v . append ( a [ i ] )
		if i < n - 1 and a [ i ] < a [ i + 1 ] :
			while ( i < n - 1 and a [ i ] < a [ i + 1 ] ) :
				v . append ( a [ i + 1 ] )
				i += 1
		elif ( i < n - 1 and a [ i ] > a [ i + 1 ] ) :
			while ( i < n - 1 and a [ i ] > a [ i + 1 ] ) :
				v . append ( a [ i + 1 ] )
				i += 1
		prod = maxSubarrayProduct ( v , len ( v ) )
		maxProd = max ( maxProd , prod )
		i += 1
	return maxProd
if __name__ == ' _ _ main _ _ ' :
	arr = [ 1 , 2 , 10 , 8 , 1 , 100 , 101 ]
	N = len ( arr )
	print ( findMaxProduct ( arr , N ) )