code: def test_bad_difference_method(self):
      target = DisaggregatedResult.create(
          data=basic_data,
          annotated_functions=metric_dict,
          sensitive_feature_names=["g_1"],
          control_feature_names=None,
      )
      with pytest.raises(ValueError) as e0:
          _ = target.difference(
              control_feature_names=None, method="bad_func"
          )
      assert (
          str(e0.value)
          == "Unrecognised method 'bad_func' in difference() call"
      )
  
file_path: fairlearn/test/unit/metrics/test_disaggregated_result.py
imports: import pandas
  import pytest
  import sklearn.metrics
  from fairlearn.metrics._annotated_metric_function import AnnotatedMetricFunction
  from fairlearn.metrics._disaggregated_result import DisaggregatedResult
  from .data_for_test import g_1, y_p, y_t
label_desc: Use image node_id 2 for calling the TestErrorMessages obj's underlying member method code with example usage: obj.test_bad_difference_method() without return types