code: def setup_class(cls):
      true = {
          "params": np.r_[
              0.762733,
              0.1473767,
              0.420275,
              0.9847369,
              0.0562405**2,
              0.2611362**2,
          ],
          "llf": 131.7225,
          "llf_fit": 131.7225,
          "llf_fit_em": 131.7175,
      }
      super().setup_class(
          true,
          mumpspc[1:],
          k_regimes=2,
          trend="n",
          exog=mumpspc[:-1],
          switching_variance=True,
          atol=1e-4,
      )
  
imports: import os
  import warnings
  import numpy
  from numpy.testing import assert_allclose, assert_raises
  import pandas
  import pytest
  from statsmodels.tsa.regime_switching import markov_switching, markov_regression
label_desc: Use image node_id 1 for calling the TestMumpspcNoconstL1Variance obj's underlying member method code with example usage: obj.setup_class(cls) without return types