code: def test_values(self):
      for bw in [1e-3, 1e-2, 1e-1, 1]:
          sm_values = []
          for x in self.x_test:
              sm_values.append(
                  sm_kernels.aitchison_aitken(bw, self.x_train, x)
              )
          sm_values = np.array(sm_values)
          hp_kernel = hp_kernels.AitchisonAitken(
              data=self.x_train,
              bandwidth=bw,
              num_values=len(
                  self.configspace.get_hyperparameters()[0].choices
              ),
          )
          hp_values = hp_kernel(self.x_test)
          self.assertTrue(
              np.allclose(hp_values.T, sm_values.squeeze(), 1e-4)
          )
  
imports: import os
  import unittest
  import numpy
  from scipy.integrate import quad
  from statsmodels.nonparametric import kernels
  from hpbandster.optimizers.kde import kernels
  import ConfigSpace
  from pdb import set_trace
label_desc: Use image node_id 3 for calling the Test1dCategorical obj's underlying member method code with example usage: obj.test_values() without return types