code: def setUp(self):
      self.test_df = self.create_test_data_sample()
      fc_parameters = {"length": None}
      self.kind_to_fc_parameters = {
          "a": fc_parameters.copy(),
          "b": fc_parameters.copy(),
      }
  
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 1 for calling the RelevantFeatureAugmenterTestCase obj's underlying member method code with example usage: obj.setUp() without return types