code: def combine_relevance_tables(relevance_tables):
      """
      Create a combined relevance table out of a list of relevance tables,
      aggregating the p-values and the relevances.
  
      :param relevance_tables: A list of relevance tables
      :type relevance_tables: List[pd.DataFrame]
      :return: The combined relevance table
      :rtype: pandas.DataFrame
      """
  
      def _combine(a, b):
          a.relevant |= b.relevant
          a.p_value = a.p_value.combine(b.p_value, min, 1)
          return a
  
      return reduce(_combine, relevance_tables)
  
file_path: tsfresh/tsfresh/feature_selection/relevance.py
imports: import warnings
  from functools import partial, reduce
  from multiprocessing import Pool
  import numpy
  import pandas
  from statsmodels.stats.multitest import multipletests
  from tsfresh import defaults
  from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, target_binary_feature_real_test, target_real_feature_binary_test, target_real_feature_real_test
  from tsfresh.utilities.distribution import initialize_warnings_in_workers
label_desc: Use image node_id 4 for calling a global function with example usage: combine_relevance_tables(relevance_tables) and returns: reduce, a