code: def check_internal_consistency(
      bar_data, assets, fields, bar_count, freq
  ):
      if isinstance(assets, Asset):
          asset_list = [assets]
      else:
          asset_list = assets
  
      if isinstance(fields, str):
          field_list = [fields]
      else:
          field_list = fields
  
      multi_field_dict = {
          asset: bar_data.history(asset, field_list, bar_count, freq)
          for asset in asset_list
      }
  
      multi_asset_dict = {
          field: bar_data.history(asset_list, field, bar_count, freq)
          for field in fields
      }
  
      panel = bar_data.history(asset_list, field_list, bar_count, freq)
  
      for field in field_list:
          # make sure all the different query forms are internally
          # consistent
          for asset in asset_list:
              series = bar_data.history(asset, field, bar_count, freq)
  
              np.testing.assert_array_equal(
                  series, multi_asset_dict[field][asset]
              )
  
              np.testing.assert_array_equal(
                  series, multi_field_dict[asset][field]
              )
  
              np.testing.assert_array_equal(series, panel[field][asset])
  
imports: from textwrap import dedent
  from nose_parameterized import parameterized
  import numpy
  from numpy import nan
  import pandas
  from six import iteritems
  from catalyst import TradingAlgorithm
  from catalyst._protocol import handle_non_market_minutes, BarData
  from catalyst.assets import Asset, Equity
  from catalyst.errors import HistoryInInitialize, HistoryWindowStartsBeforeData
  from catalyst.finance.trading import SimulationParameters
  from catalyst.finance.asset_restrictions import NoRestrictions
  from catalyst.testing import create_minute_df_for_asset, str_to_seconds, MockDailyBarReader
  from catalyst.testing.fixtures import WithCreateBarData, WithDataPortal, CatalystTestCase, alias
label_desc: Use image node_id 1 for calling a global function with example usage: check_internal_consistency(bar_data, assets, fields, bar_count, freq) without return types