code: def test_feature_mismatch(make_data):
      data, _ = make_data()
      x = data.iloc[:, :2]
      y = data.iloc[:, 2:]
      with pytest.raises(ValueError, match="columns do not match"):
          clinical_kernel(x, y)
  
      y = np.zeros((10, 17))
      with pytest.raises(
          ValueError, match="x and y have different number of features"
      ):
          clinical_kernel(x, y)
  
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 23 for calling the TestClinicalKernel obj's underlying member method code with example usage: obj.test_feature_mismatch(make_data) without return types