def METHOD_NAME():
    with pytest.raises(ValueError):
        qgan = models.StyleQGAN(latent_dim=2)
    circuit = models.Circuit(2)
    with pytest.raises(ValueError):
        qgan = models.StyleQGAN(latent_dim=2, layers=2, circuit=circuit)
    with pytest.raises(ValueError):
        qgan = models.StyleQGAN(latent_dim=2, circuit=circuit)
    with pytest.raises(ValueError):
        qgan = models.StyleQGAN(latent_dim=2, layers=2, set_parameters=lambda x: x)
    reference_distribution = generate_distribution(10)
    qgan = models.StyleQGAN(latent_dim=2, circuit=circuit, set_parameters=lambda x: x)
    with pytest.raises(ValueError):
        qgan.fit(reference_distribution, save=False)
    initial_params = np.random.uniform(-0.15, 0.15, 18)
    qgan = models.StyleQGAN(latent_dim=2, layers=2)
    with pytest.raises(ValueError):
        qgan.fit(reference_distribution, initial_params=initial_params, save=False)