code: def setup_class(cls, *args, **kwargs):
      # Dummy data
      endog = np.arange(10)
      k_states = 1
  
      cls.model = SimulationSmoother(
          k_endog=1, k_states=k_states, *args, **kwargs
      )
      cls.model.bind(endog)
  
file_path: statsmodels/statsmodels/tsa/statespace/tests/test_options.py
imports: import numpy
  from statsmodels.tsa.statespace.kalman_filter import FILTER_CONVENTIONAL, FILTER_EXACT_INITIAL, FILTER_AUGMENTED, FILTER_SQUARE_ROOT, FILTER_UNIVARIATE, FILTER_COLLAPSED, FILTER_EXTENDED, FILTER_UNSCENTED, FILTER_CONCENTRATED, FILTER_CHANDRASEKHAR, INVERT_UNIVARIATE, SOLVE_LU, INVERT_LU, SOLVE_CHOLESKY, INVERT_CHOLESKY, STABILITY_FORCE_SYMMETRY, MEMORY_STORE_ALL, MEMORY_NO_FORECAST, MEMORY_NO_PREDICTED, MEMORY_NO_FILTERED, MEMORY_NO_LIKELIHOOD, MEMORY_NO_GAIN, MEMORY_NO_SMOOTHING, MEMORY_NO_STD_FORECAST, MEMORY_CONSERVE
  from statsmodels.tsa.statespace.kalman_smoother import SMOOTHER_STATE, SMOOTHER_STATE_COV, SMOOTHER_STATE_AUTOCOV, SMOOTHER_DISTURBANCE, SMOOTHER_DISTURBANCE_COV, SMOOTHER_ALL
  from statsmodels.tsa.statespace.simulation_smoother import SimulationSmoother, SIMULATION_STATE, SIMULATION_ALL
  from numpy.testing import assert_equal
label_desc: Use image node_id 1 for calling the Options obj's underlying member method code with example usage: obj.setup_class(cls) without return types