code: def init(cls):
      cls.res2 = cls.mod2.fit()
      k = cls.mod1.exog.shape[1]
      cls.idx_p_uc = np.arange(k - 5)
      constraints = np.eye(k)[-5:]
      cls.res1 = cls.mod1.fit_constrained(constraints)
  
imports: import warnings
  import numpy
  from numpy.testing import assert_allclose, assert_equal
  from statsmodels.genmod.families import family
  from statsmodels.genmod.generalized_linear_model import GLM
  from statsmodels.regression.linear_model import OLS, WLS
  from statsmodels.tools.sm_exceptions import ValueWarning
  from statsmodels.tools.tools import add_constant
label_desc: Use image node_id 2 for calling the TestGLMBinomialCountConstrained obj's underlying member method code with example usage: obj.init(cls) without return types