code: def test_continuous_cdf(self):
      dens_nm = nparam.KDEMultivariateConditional(
          endog=[self.Italy_gdp],
          exog=[self.growth],
          dep_type="c",
          indep_type="c",
          bw="normal_reference",
      )
      sm_result = dens_nm.cdf()[0:5]
      R_result = [
          0.81304920,
          0.95046942,
          0.86878727,
          0.71961748,
          0.38685423,
      ]
      npt.assert_allclose(sm_result, R_result, atol=1e-3)
  
imports: import numpy
  import numpy.testing
  import pytest
  from numpy.testing import assert_allclose, assert_equal
  import statsmodels.api
label_desc: Use image node_id 7 for calling the TestKDEMultivariateConditional obj's underlying member method code with example usage: obj.test_continuous_cdf() without return types