code: def setup_class(cls):
      cls.res2 = res2 = results_meta.results_or_dl_hk
      cls.dta = (res2.event_e, res2.n_e, res2.event_c, res2.n_c)
  
      eff, var_eff = effectsize_2proportions(*cls.dta, statistic="or")
      res1 = combine_effects(eff, var_eff, method_re="chi2", use_t=True)
      cls.eff = eff
      cls.var_eff = var_eff
      cls.res1 = res1
  
imports: import io
  import numpy
  import pandas
  import pytest
  from numpy.testing import assert_equal, assert_allclose
  from statsmodels.regression.linear_model import WLS
  from statsmodels.genmod.generalized_linear_model import GLM
  from statsmodels.stats.meta_analysis import effectsize_smd, effectsize_2proportions, combine_effects, _fit_tau_iterative, _fit_tau_mm, _fit_tau_iter_mm
  from .results import results_meta
label_desc: Use image node_id 1 for calling the TestMetaBinOR obj's underlying member method code with example usage: obj.setup_class(cls) without return types