code: def test_nothing_relevant(self):
      augmenter = RelevantFeatureAugmenter(
          kind_to_fc_parameters=self.kind_to_fc_parameters,
          column_value="val",
          column_id="id",
          column_sort="sort",
          column_kind="kind",
      )
  
      y = pd.Series({10: 1, 500: 0})
      X = pd.DataFrame(index=[10, 500])
  
      augmenter.set_timeseries_container(self.test_df)
      augmenter.fit(X, y)
      transformed_X = augmenter.transform(X.copy())
  
      fit_transformed_X = augmenter.fit_transform(X, y)
  
      self.assertEqual(list(transformed_X.columns), [])
      self.assertEqual(list(transformed_X.index), list(X.index))
      self.assertEqual(list(fit_transformed_X.columns), [])
      self.assertEqual(list(fit_transformed_X.index), list(X.index))
  
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 4 for calling the RelevantFeatureAugmenterTestCase obj's underlying member method code with example usage: obj.test_nothing_relevant() without return types