code: def test_mixeddata_cdf(self):
      dens = nparam.KDEMultivariateConditional(
          endog=[self.Italy_gdp],
          exog=[self.Italy_year],
          dep_type="c",
          indep_type="o",
          bw="cv_ls",
      )
      sm_result = dens.cdf()[0:5]
      # R_result = [0.8118257, 0.9724863, 0.8843773, 0.7720359, 0.4361867]
      expected = [
          0.83378885,
          0.97684477,
          0.90655143,
          0.79393161,
          0.43629083,
      ]
      npt.assert_allclose(sm_result, expected, atol=0, rtol=1e-5)
  
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 8 for calling the TestKDEMultivariateConditional obj's underlying member method code with example usage: obj.test_mixeddata_cdf() without return types