How to use the amici.SensitivityMethod_adjoint function in amici

def test_deepcopy_objective():
    """Test copying objectives (needed for MultiProcessEngine)."""
    petab_importer = pypesto.petab.PetabImporter.from_yaml(
        folder_base + "Zheng_PNAS2012/Zheng_PNAS2012.yaml")
    objective = petab_importer.create_objective()

    objective.amici_solver.setSensitivityMethod(
        amici.SensitivityMethod_adjoint)

    objective2 = copy.deepcopy(objective)

    # test some properties
    assert objective.amici_model.getParameterIds() \
        == objective2.amici_model.getParameterIds()
    assert objective.amici_solver.getSensitivityOrder() \
        == objective2.amici_solver.getSensitivityOrder()
    assert objective.amici_solver.getSensitivityMethod() \
        == objective2.amici_solver.getSensitivityMethod()
    assert len(objective.edatas) == len(objective2.edatas)

    assert objective.amici_model is not objective2.amici_model
    assert objective.amici_solver is not objective2.amici_solver
    assert objective.steadystate_guesses is not \
        objective2.steadystate_guesses

def test_sth():
    yaml_file = "/home/yannik/benchmark-models-petab/Benchmark-Models/Boehm_JProteomeRes2014/Boehm_JProteomeRes2014.yaml"
    #yaml_file = "/home/yannik/benchmark-models-petab/Benchmark-Models/Fujita_SciSignal2010/Fujita_SciSignal2010.yaml"
    importer = pypesto.PetabImporter.from_yaml(yaml_file)
    objective = importer.create_objective(hierarchical=True)
    problem = importer.create_problem(objective)
    problem.objective.amici_solver.setSensitivityMethod(amici.SensitivityMethod_adjoint)
    print(importer.petab_problem.x_nominal_free_scaled)
    ret = problem.objective(importer.petab_problem.x_nominal_free_scaled[:-6])
    print(ret)

    objective2 = importer.create_objective(hierarchical=False)
    problem2 = importer.create_problem(objective2)
    problem2.objective.amici_solver.setSensitivityMethod(amici.SensitivityMethod_adjoint)
    ret = problem2.objective(importer.petab_problem.x_nominal_free_scaled)
    print(ret)

    problem.objective.amici_solver.setAbsoluteTolerance(1e-8)
    problem.objective.amici_solver.setRelativeTolerance(1e-8)
    problem2.objective.amici_solver.setAbsoluteTolerance(1e-8)
    problem2.objective.amici_solver.setRelativeTolerance(1e-8)
    n_starts = 50
    startpoints = pypesto.startpoint.latin_hypercube(n_starts=n_starts, lb=problem2.lb, ub=problem2.ub)

def test_sth():
    yaml_file = "/home/yannik/benchmark-models-petab/Benchmark-Models/Boehm_JProteomeRes2014/Boehm_JProteomeRes2014.yaml"
    #yaml_file = "/home/yannik/benchmark-models-petab/Benchmark-Models/Fujita_SciSignal2010/Fujita_SciSignal2010.yaml"
    importer = pypesto.PetabImporter.from_yaml(yaml_file)
    objective = importer.create_objective(hierarchical=True)
    problem = importer.create_problem(objective)
    problem.objective.amici_solver.setSensitivityMethod(amici.SensitivityMethod_adjoint)
    print(importer.petab_problem.x_nominal_free_scaled)
    ret = problem.objective(importer.petab_problem.x_nominal_free_scaled[:-6])
    print(ret)

    objective2 = importer.create_objective(hierarchical=False)
    problem2 = importer.create_problem(objective2)
    problem2.objective.amici_solver.setSensitivityMethod(amici.SensitivityMethod_adjoint)
    ret = problem2.objective(importer.petab_problem.x_nominal_free_scaled)
    print(ret)

    problem.objective.amici_solver.setAbsoluteTolerance(1e-8)
    problem.objective.amici_solver.setRelativeTolerance(1e-8)
    problem2.objective.amici_solver.setAbsoluteTolerance(1e-8)
    problem2.objective.amici_solver.setRelativeTolerance(1e-8)
    n_starts = 50
    startpoints = pypesto.startpoint.latin_hypercube(n_starts=n_starts, lb=problem2.lb, ub=problem2.ub)
    problem.x_guesses = startpoints[:, :-6]
    print(problem.x_guesses)
    problem2.x_guesses = startpoints

    start_time = time.time()
    problem.objective.calculator.inner_solver = NumericalInnerSolver()
    engine = pypesto.MultiProcessEngine(n_procs=8)

def test_pickle_objective():
    """Test serializing objectives (needed for MultiThreadEngine)."""
    petab_importer = pypesto.petab.PetabImporter.from_yaml(
        folder_base + "Zheng_PNAS2012/Zheng_PNAS2012.yaml")
    objective = petab_importer.create_objective()

    objective.amici_solver.setSensitivityMethod(
        amici.SensitivityMethod_adjoint)

    objective2 = pickle.loads(pickle.dumps(objective))

    # test some properties
    assert objective.amici_model.getParameterIds() \
        == objective2.amici_model.getParameterIds()
    assert objective.amici_solver.getSensitivityOrder() \
        == objective2.amici_solver.getSensitivityOrder()
    assert objective.amici_solver.getSensitivityMethod() \
        == objective2.amici_solver.getSensitivityMethod()
    assert len(objective.edatas) == len(objective2.edatas)