How to call and run CEC 2013 benchmark functions from opfunu library.

cec_2013.py

## Upgrade the library first
##     pip install opfunu --upgrade
## Current version: 0.7.1

import numpy as np
from opfunu.cec.cec2013.unconstraint import Model as MD1
from opfunu.cec.cec2013.unconstraint2 import Model as MD2

problem_size = 100
solution = np.ones(problem_size)

## In the unconstraint way, you have to pass the problem_size to the object. and pass the solution to function called
obj1 = MD1(problem_size)  # ==> pass the problem_size here

print(obj1.F1(solution))  # ==> pass the solution in function called
print(obj1.F2(solution))
print(obj1.F3(solution))

# ==> How to loop through this style of function called
list_functions = ["F1", "F2", "F3"]      ## You can add from F1 to F28 here 
for i in range(len(list_functions)):
    print(obj1.__getattribute__(list_functions[i])(solution))

## In the unconstraint2 way, you have to pass he solution to the object, and don't have to pass anything to function called
obj2 = MD2(solution)  # ==> pass the solution here

print(obj2.F1())  # ==> don't have to pass anything here
print(obj2.F2())
print(obj2.F3())

# ==> How to loop through this style of function called
for i in range(len(list_functions)):
    print(obj2.__getattribute__(list_functions[i])())