code: def test_basic(self):
      res1 = self.res1
      res2 = self.res2
      # Note we have alpha, stata has lnalpha
      sl1 = slice(self.k_infl, -1, None)
      sl2 = slice(0, -(self.k_infl + 1), None)
      assert_allclose(
          res1.params[sl1], res2.params[sl2], rtol=self.rtol
      )
      assert_allclose(res1.bse[sl1], res2.bse[sl2], rtol=30 * self.rtol)
      params1 = np.asarray(res1.params)
      params2 = np.asarray(res2.params)
      assert_allclose(params1[-1], np.exp(params2[-1]), rtol=self.rtol)
  
imports: import warnings
  import numpy
  from numpy.testing import assert_allclose, assert_equal
  import pytest
  from statsmodels.tools.tools import add_constant
  from statsmodels.base._prediction_inference import PredictionResultsMonotonic
  from statsmodels.discrete.discrete_model import BinaryModel, Logit, Probit, Poisson, NegativeBinomial, NegativeBinomialP, GeneralizedPoisson
  from statsmodels.discrete.count_model import ZeroInflatedPoisson, ZeroInflatedNegativeBinomialP, ZeroInflatedGeneralizedPoisson
  from statsmodels.sandbox.regression.tests.test_gmm_poisson import DATA
  from .results import results_predict
label_desc: Use image node_id 1 for calling the CheckPredict obj's underlying member method code with example usage: obj.test_basic() without return types