code: def test_aggregates_p_value(self, relevance_table):
      relevance_table_2 = relevance_table.copy()
      relevance_table_2.p_value = [0.2, 0.1, 0.4, 0.3]
      result = combine_relevance_tables(
          [relevance_table, relevance_table_2]
      )
  
      assert (np.array([0.1, 0.1, 0.3, 0.3]) == result.p_value).all()
  
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 TestCombineRelevanceTables obj's underlying member method code with example usage: obj.test_aggregates_p_value(relevance_table) without return types