code: def setup_class(cls):
      cls.eff = np.array(
          [
              61.00,
              61.40,
              62.21,
              62.30,
              62.34,
              62.60,
              62.70,
              62.84,
              65.90,
          ]
      )
      cls.var_eff = np.array(
          [
              0.2025,
              1.2100,
              0.0900,
              0.2025,
              0.3844,
              0.5625,
              0.0676,
              0.0225,
              1.8225,
          ]
      )
  
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 TestMetaK1 obj's underlying member method code with example usage: obj.setup_class(cls) without return types