code: def setup_class(cls):
      cls.dist1 = dist1 = stats.norm(1, 2)
      np.random.seed(5999)
      cls.rvs = dist1.rvs(size=200)
      # rvs = np.concatenate([rvs, -rvs])
      # fix mean and std of sample
      # rvs = (rvs - rvs.mean())/rvs.std(ddof=1) * np.sqrt(2) + 1
      cls.dist2 = NormExpan_gen(cls.rvs, mode="sample")
  
      cls.scale = 2
      cls.atol_pdf = 1e-3
  
file_path: statsmodels/statsmodels/sandbox/distributions/tests/test_norm_expan.py
imports: import pytest
  import numpy
  from scipy import stats
  from numpy.testing import assert_allclose, assert_array_less
  from statsmodels.sandbox.distributions.extras import NormExpan_gen
label_desc: Use image node_id 1 for calling the TestExpandNormSample obj's underlying member method code with example usage: obj.setup_class(cls) without return types