code: def test_pairwise_x_and_y(make_data):
      data, m = make_data()
      t = ClinicalKernelTransform()
      t.fit(data)
  
      mat = pairwise_kernels(
          t.X_fit_[:3, :],
          t.X_fit_[3:, :],
          metric=t.pairwise_kernel,
          n_jobs=1,
      )
  
      expected = m[:3:, 3:]
  
      assert_array_almost_equal(expected, mat, 4)
  
imports: import numpy
  from numpy.testing import assert_array_almost_equal
  import pandas
  import pytest
  from sklearn.base import clone
  from sklearn.metrics.pairwise import pairwise_kernels
  from sksurv.kernels import ClinicalKernelTransform, clinical_kernel
label_desc: Use image node_id 13 for calling the TestClinicalKernel obj's underlying member method code with example usage: obj.test_pairwise_x_and_y(make_data) without return types