code: def setup_class(cls):
      np.random.seed(9876789)
      cls.data = np.random.randint(0, 10, size=20)
      cls.data[15:20] = cls.data[0:5]
      cls.data[18:20] = cls.data[15:17]
      cls.weights = np.random.uniform(0, 3, size=20)
      cls.quantile_probs = np.r_[0, 0.1, 0.5, 0.75, 1]
      cls.get_descriptives()
  
imports: import numpy
  from scipy import stats
  import pandas
  from numpy.testing import assert_, assert_almost_equal, assert_allclose
  from statsmodels.stats.weightstats import DescrStatsW, CompareMeans, ttest_ind, ztest, zconfint
  from statsmodels.tools.testing import Holder
label_desc: Use image node_id 1 for calling the TestSim1t obj's underlying member method code with example usage: obj.setup_class(cls) without return types