code: def setup_class(cls):
      super().setup_class()
      path = os.path.join(
          current_path,
          "results",
          "results_simulation_smoothing3_variates.csv",
      )
      cls.variates = pd.read_csv(path).values.squeeze()
      path = os.path.join(
          current_path, "results", "results_simulation_smoothing3.csv"
      )
      cls.true = pd.read_csv(path)
      cls.true_llf = 1695.34872
  
imports: import os
  import numpy
  import pandas
  from numpy.testing import assert_allclose, assert_equal
  import pytest
  from statsmodels import datasets
  from statsmodels.tsa.statespace import mlemodel, sarimax, structural, varmax
  from statsmodels.tsa.statespace.simulation_smoother import SIMULATION_STATE, SIMULATION_DISTURBANCE, SIMULATION_ALL
label_desc: Use image node_id 1 for calling the TestMultivariateVAR obj's underlying member method code with example usage: obj.setup_class(cls) without return types