code: def test_censored_ll_cvls(self):
      nobs = 200
      np.random.seed(1234)
      C1 = np.random.normal(size=(nobs,))
      C2 = np.random.normal(2, 1, size=(nobs,))
      noise = np.random.normal(size=(nobs,))
      Y = 0.3 + 1.2 * C1 - 0.9 * C2 + noise
      Y[Y > 0] = 0  # censor the data
      model = nparam.KernelCensoredReg(
          endog=[Y],
          exog=[C1, C2],
          reg_type="ll",
          var_type="cc",
          bw="cv_ls",
          censor_val=0,
      )
      sm_mean, sm_mfx = model.fit()
      npt.assert_allclose(sm_mfx[0, :], [1.2, -0.9], rtol=2e-1)
  
imports: import pytest
  import numpy
  import numpy.testing
  import statsmodels.api
label_desc: Use image node_id 8 for calling the TestKernelReg obj's underlying member method code with example usage: obj.test_censored_ll_cvls() without return types