code: def setup_class(cls):
      df = data_bin
      res = GLM(
          df["constrict"],
          df[["const", "log_rate", "log_volumne"]],
          family=families.Binomial(),
      ).fit(attach_wls=True, atol=1e-10)
  
      cls.infl1 = res.get_influence()
      cls.infl0 = MLEInfluence(res)
  
imports: from statsmodels.compat.pandas import testing
  import os.path
  import numpy
  from numpy.testing import assert_allclose
  import pandas
  import pytest
  from statsmodels.regression.linear_model import OLS
  from statsmodels.genmod.generalized_linear_model import GLM
  from statsmodels.genmod import families
  from statsmodels.stats.outliers_influence import MLEInfluence
label_desc: Use image node_id 1 for calling the TestInfluenceLogitGLMMLE obj's underlying member method code with example usage: obj.setup_class(cls) without return types