code: def test_plot(self):
      # smoke tests
      res1 = self.res1
      # `use_t=False` avoids warning about missing nobs for use_t is true
      res1.plot_forest(use_t=False)
      res1.plot_forest(use_exp=True, use_t=False)
      res1.plot_forest(alpha=0.01, use_t=False)
      with pytest.raises(TypeError, match="unexpected keyword"):
          res1.plot_forest(junk=5, use_t=False)
  
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 3 for calling the TestMetaBinOR obj's underlying member method code with example usage: obj.test_plot() without return types