code: def test_relabel_int_classifier_not_yet_supported(self):
      class C(Classifier):
          inputs = ()
          dtype = int64_dtype
          missing_value = -1
          window_length = 0
  
      c = C()
  
      with self.assertRaises(TypeError) as e:
          c.relabel(lambda x: 0 / 0)  # Function should never be called.
  
      result = str(e.exception)
      expected = (
          "relabel() is only defined on Classifiers producing strings "
          "but it was called on a Classifier of dtype int64."
      )
      self.assertEqual(result, expected)
  
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 15 for calling the ClassifierTestCase obj's underlying member method code with example usage: obj.test_relabel_int_classifier_not_yet_supported() without return types