How to pass multiple arguments in Multiprocessing executor.map() function

Question

I have been watching several videos on Multiprocessing map function.

I know that I can send one list as an argument to the function I want to target with Multiprocessing, and that will call the same function n times (dependent upon the size of that passed list).

What I am struggling to do is what if I want to pass multiple arguments to that function?

I basically have a List whose size is n (it can vary but for current case, its 209)

My function requires 3 arguments...

1. the index of the list (0, 1, 2 etc.)
2. Another list containing data
3. A fixed integer value

I could have used the 2nd and 3rd arguments as global variables, but that doesn't work for me because I have to call the map function in a while loop... and in every another iteration, the values of these two will change.

My function returns two values which I need to access in the function from where it was called. This is what I have tried but it didn't work for me,

def main_fun():
    with concurrent.futures.ProcessPoolExecutor() as executor: 

        results = executor.map(MyFun, (row, pop[0].data, fitness) for row in range(0, len(pop[0].data)))

        for result in results:
            print(result)

I also tried to use ZIP function but again, with no success.