from multiprocessing import Process

def f(problem_definition, cells, limits, priors, cpp_controls):
    
    start = time.time()
    problem_definition, output_results, bayes_results = RAT.rat_core.RATMain(
    problem_definition,
    cells,
    limits,
    cpp_controls,
    priors,
    )
    end = time.time()
    print(f"Run time is: {end-start}s\n")
        

if __name__ == '__main__':

    project = setup_problem.make_example_problem()
    # project.custom_files.set_fields(0, filename="custom_bilayer.m", language="matlab", path=path)
    # project.custom_files.set_fields(0, filename="custom_bilayer.dll", function_name="customBilayer", language="cpp", path=path)
    controls = RAT.Controls()
    problem_definition, cells, limits, priors, cpp_controls = RAT.inputs.make_input(project, controls)
    
    p = Process(target=f, args=(problem_definition, cells, limits, priors, cpp_controls,))
    p.start()
    p.join()