import multiprocessing as mp

def {{ parent_function_name }}_parallel(args_list):
    # Prepare arguments for {{ function_name }}
    function_args = []
    for args in args_list:
        # Process args as needed
        function_args.append(args)
    
    # Parallelize the function call
    with mp.Pool() as pool:
        results = pool.starmap({{ function_name }}, function_args)
    
    return results

# Example usage:
# args_list = [(arg1_1, arg1_2, ...), (arg2_1, arg2_2, ...), ...]
# results = {{ parent_function_name }}_parallel(args_list)

