code: def X(self):
      df = pd.DataFrame()
      df["feature_binary"] = [1, 1, 0]
      df["feature_real"] = [0.1, 0.2, 0.3]
      return df
  
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 4 for calling the TestCalculateRelevanceTable obj's underlying member method code with example usage: obj.X() and returns: df