code: def assert_data_chunk_object_equal(self, result, expected):
      dic_result = {str(x[0]) + "_" + str(x[1]): x[2] for x in result}
      dic_expected = {
          str(x[0]) + "_" + str(x[1]): x[2] for x in expected
      }
      for k in dic_result.keys():
          pd.testing.assert_series_equal(
              dic_result[k], dic_expected[k], check_names=False
          )
  
imports: import math
  from unittest import TestCase
  from unittest.mock import Mock
  import numpy
  import pandas
  from dask import dataframe
  from tests.fixtures import DataTestCase
  from tsfresh.feature_extraction.data import LongTsFrameAdapter, PartitionedTsData, TsDictAdapter, WideTsFrameAdapter, to_tsdata
  from tsfresh.utilities.distribution import MultiprocessingDistributor
label_desc: Use image node_id 7 for calling the DataAdapterTestCase obj's underlying member method code with example usage: obj.assert_data_chunk_object_equal(result, expected) without return types