code: def test_bad_compare(self, compare_op, dtype_and_missing):
      class C(Classifier):
          inputs = ()
          window_length = 0
          dtype = dtype_and_missing[0]
          missing_value = dtype_and_missing[1]
  
      with self.assertRaises(TypeError) as e:
          compare_op(C(), object())
  
      self.assertEqual(
          str(e.exception),
          "cannot compare classifiers with %s"
          % (methods_to_ops["__%s__" % compare_op.__name__],),
      )
  
imports: from functools import reduce
  import operator
  import numpy
  import pandas
  from zipline.lib.labelarray import LabelArray
  from zipline.pipeline import Classifier
  from zipline.pipeline.data.testing import TestingDataSet
  from zipline.pipeline.expression import methods_to_ops
  from zipline.testing import parameter_space
  from zipline.testing.fixtures import ZiplineTestCase
  from zipline.testing.predicates import assert_equal
  from zipline.utils.numpy_utils import categorical_dtype, int64_dtype
  from .base import BaseUSEquityPipelineTestCase
label_desc: Use image node_id 16 for calling the ClassifierTestCase obj's underlying member method code with example usage: obj.test_bad_compare(compare_op, dtype_and_missing) without return types