I would like to 1)simplify the code below using iteration 2)implement it using recursion
This code features an equation similar to the Fibonacci series the difference being the previous answer is multiplied by a function in this case just 2 by index.
The algorithm will input different images and calculate the total incremented points, the flattened optimal matrix will give the highest value.
Note that list_c should give the highest value.
sum_list=[]
list_a= [1,0,1,0,1]
list_b= [1,0,0,1,1]
list_c= [1,1,1,0,0]
def increment(input_list):
global i #i added it because i received an error
""" returns
Incrementing_answer = previous_answer + (list[i+1])
for which previous_answer begins with list[0]
if list[0] =0 then list[0]=-1
for example, list_a should be evaluated as follows
- ans = 1+2*(1)
= 3
- ans = 3+ 2*(0) --since since its 0 ,-1 is replaced
= 3+ 2*(-1)
= 1
- ans = 1+2(1)
=3
and so on
Incrementing_answers = sum_list=[3,1,3,1,3] =11
"""
for i in range(0,len(input_list)):
if input_list[i] == 0 :
input_list[i] == -1
ans = input_list[i]+2*input_list[i]
sum_list.append(ans)
else:
ans = ans+input_list[i]
sum_list.append(ans)
return sum(sum_list)
Previous answers have been helpful, the code above does not work 1)I would like corrections
2)Is it possible to solve the same problem using recursion
3) I also just realised the code does not work well for large arrays(preprocesed_images)
4) for lists or arrays that include floating points I get the error (' ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()')
3)Feedback on using good programming practices
4) Any additional advice on how to tackle the problem is Welcome, the inputted images will be captured using cv2 and the algorithm has to pick optimal images in real-time, to solve the puzzle.
Thanks very much in advance