def METHOD_NAME(finite_space_model, one_point_design, true_eig):
    pyro.set_rng_seed(42)
    pyro.clear_param_store()
    estimated_eig = lfire_eig(
        finite_space_model,
        one_point_design,
        "y",
        "theta",
        num_y_samples=5,
        num_theta_samples=50,
        num_steps=1000,
        classifier=make_lfire_classifier(50),
        optim=optim.Adam({"lr": 0.0025}),
        final_num_samples=500,
    )
    assert_equal(estimated_eig, true_eig, prec=1e-2)