code: def test_efficient_user_specified_bw(self):
      nobs = 400
      np.random.seed(12345)
      C1 = np.random.normal(size=(nobs,))
      C2 = np.random.normal(2, 1, size=(nobs,))
      bw_user = [0.23, 434697.22]
  
      dens = nparam.KDEMultivariate(
          data=[C1, C2],
          var_type="cc",
          bw=bw_user,
          defaults=nparam.EstimatorSettings(
              efficient=True, randomize=False, n_sub=100
          ),
      )
      npt.assert_equal(dens.bw, bw_user)
  
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 10 for calling the TestKDEMultivariateConditional obj's underlying member method code with example usage: obj.test_efficient_user_specified_bw() without return types