code: def test_no_ids_present(self):
      augmenter = RelevantFeatureAugmenter(
          kind_to_fc_parameters=self.kind_to_fc_parameters,
          filter_only_tsfresh_features=False,
          column_value="val",
          column_id="id",
          column_sort="sort",
          column_kind="kind",
      )
  
      df, y = self.create_test_data_sample_with_target()
      X_with_wrong_ids = pd.DataFrame(index=[-999])
  
      augmenter.set_timeseries_container(df)
  
      self.assertRaisesRegex(
          AttributeError,
          r"The ids of the time series container",
          augmenter.fit,
          X_with_wrong_ids,
          y,
      )
      self.assertRaisesRegex(
          AttributeError,
          r"The ids of the time series container",
          augmenter.fit_transform,
          X_with_wrong_ids,
          y,
      )
  
imports: import mock
  import numpy
  import pandas
  from sklearn import model_selection
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.pipeline import Pipeline
  from tests.fixtures import DataTestCase, warning_free
  from tsfresh.feature_extraction import MinimalFCParameters
  from tsfresh.transformers.relevant_feature_augmenter import RelevantFeatureAugmenter
label_desc: Use image node_id 8 for calling the RelevantFeatureAugmenterTestCase obj's underlying member method code with example usage: obj.test_no_ids_present() without return types