SimonBlanke / Gradient-Free-Optimizers

    assert opt1.best_score <= opt2.best_score

@pytest.mark.parametrize(*optimizers)

@pytest.mark.parametrize(*optimizers_2)

def test_initialize_warm_start_twoOpt_1(Optimizer, Optimizer2):

    opt1 = Optimizer(search_space)

    opt1.search(objective_function, n_iter=20)

    opt2 = Optimizer2(search_space, initialize={"warm_start": [opt1.best_para]})

    opt2.search(objective_function, n_iter=1)

    assert opt1.best_score <= opt2.best_score

    assert abs(opt.best_score) - 1 < 0.001

@pytest.mark.parametrize(*optimizers)

@pytest.mark.parametrize(*optimizers_2)

def test_initialize_warm_start_twoOpt_0(Optimizer, Optimizer2):

    opt1 = Optimizer(search_space)

    opt1.search(objective_function, n_iter=1)

    opt2 = Optimizer2(search_space, initialize={"warm_start": [opt1.best_para]})

    opt2.search(objective_function, n_iter=20)

    assert opt1.best_score <= opt2.best_score

@pytest.mark.parametrize(*optimizers)