code: def relevance_table(self):
      relevance_table = pd.DataFrame(
          index=pd.Series(["f1", "f2", "f3", "f4"], name="feature")
      )
      relevance_table["relevant"] = [True, False, True, False]
      relevance_table["type"] = ["real"] * 4
      relevance_table["p_value"] = [0.1, 0.2, 0.3, 0.4]
      return relevance_table
  
imports: import warnings
  import mock
  import numpy
  import pandas
  import pytest
  from tsfresh.feature_selection.relevance import calculate_relevance_table, combine_relevance_tables, get_feature_type, infer_ml_task
label_desc: Use image node_id 1 for calling the TestCombineRelevanceTables obj's underlying member method code with example usage: obj.relevance_table() and returns: relevance_table