class_docstr: BDS Test on np.r_[np.random.normal(size=25), np.random.uniform(size=25)]
class_docstr_tok: ["BDS","Test","on","np.r_","[","np.random.normal","(","size=25",")",",","np.random.uniform","(","size=25",")","]"]
code: def setup_class(cls):
      cls.results = results[results[0] == 3]
      cls.bds_stats = np.array(cls.results[2].iloc[1:])
      cls.pvalues = np.array(cls.results[3].iloc[1:])
  
      cls.data = data[2][data[2].notnull()]
      cls.res = bds(cls.data, 5)
  
imports: import os
  import numpy
  from numpy.testing import assert_almost_equal
  import pandas
  from statsmodels.tsa.stattools import bds
label_desc: Use image node_id 1 for calling the TestBDSCombined obj's underlying member method code with example usage: obj.setup_class(cls) without return types