code: def test_not_fitted(self):
      augmenter = RelevantFeatureAugmenter()
  
      X = pd.DataFrame()
  
      self.assertRaises(RuntimeError, augmenter.transform, X)
  
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 2 for calling the RelevantFeatureAugmenterTestCase obj's underlying member method code with example usage: obj.test_not_fitted() without return types