code: def test_MICE2(self):
      from statsmodels.genmod.generalized_linear_model import (
          GLMResultsWrapper,
      )
  
      df = gendat()
      imp_data = mice.MICEData(df)
      mi = mice.MICE(
          "x3 ~ x1 + x2",
          sm.GLM,
          imp_data,
          init_kwds={"family": sm.families.Binomial()},
      )
  
      for j in range(3):
          x = mi.next_sample()
          assert isinstance(x, GLMResultsWrapper)
          assert isinstance(x.family, sm.families.Binomial)
  
imports: import numpy
  import pandas
  import pytest
  from statsmodels.imputation import mice
  import statsmodels.api
  from numpy.testing import assert_equal, assert_allclose
  import warnings
label_desc: Use image node_id 4 for calling the TestMICE obj's underlying member method code with example usage: obj.test_MICE2() without return types