code: def data_categorical_mismatch(self):
      a = self.to_data_frame(
          [
              ("col_A", self.make_categorical_3_series("col_A")),
              ("col_B", self.make_numeric_series("col_B")),
          ]
      )
      b = self.to_data_frame(
          [
              ("col_A", self.make_categorical_4_series("col_A")),
              ("col_B", self.make_numeric_series("col_B")),
          ]
      )
  
      err = pytest.raises(
          ValueError, match="categories for column col_A do not match"
      )
      return (a, b), None, err
  
imports: from collections import OrderedDict
  from contextlib import nullcontext
  import numpy
  from numpy.testing import assert_array_equal
  import pandas
  import pandas.testing
  import pytest
  from sksurv.testing import FixtureParameterFactory
  from sksurv.util import Surv, _PropertyAvailableIfDescriptor, property_available_if, safe_concat
label_desc: Use image node_id 2 for calling the ConcatCasesAxes0 obj's underlying member method code with example usage: obj.data_categorical_mismatch() and returns: a,  b,  None,  err