class_docstr: Parameters
  ---------
  readers : dict[str -> SessionBarReader]
      A dict mapping country codes to SessionBarReader instances to
      service each country.
class_docstr_tok: ["Parameters","--","--","--","--","-","readers",":","dict","[","str","-",">","SessionBarReader","]","A","dict","mapping","country","codes","to","SessionBarReader","instances","to","service","each","country","."]
docstr: Parameters
  ----------
  columns : list of str
     'open', 'high', 'low', 'close', or 'volume'
  start_date: Timestamp
     Beginning of the window range.
  end_date: Timestamp
     End of the window range.
  assets : list of int
     The asset identifiers in the window.
  
  Returns
  -------
  list of np.ndarray
      A list with an entry per field of ndarrays with shape
      (minutes in range, sids) with a dtype of float64, containing the
      values for the respective field over start and end dt range.
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code: def load_raw_arrays(self, columns, start_date, end_date, assets):
      """
      Parameters
      ----------
      columns : list of str
         'open', 'high', 'low', 'close', or 'volume'
      start_date: Timestamp
         Beginning of the window range.
      end_date: Timestamp
         End of the window range.
      assets : list of int
         The asset identifiers in the window.
  
      Returns
      -------
      list of np.ndarray
          A list with an entry per field of ndarrays with shape
          (minutes in range, sids) with a dtype of float64, containing the
          values for the respective field over start and end dt range.
      """
      country_code = self._country_code_for_assets(assets)
  
      return self._readers[country_code].load_raw_arrays(
          columns,
          start_date,
          end_date,
          assets,
      )
  
imports: from functools import partial
  import h5py
  import logbook
  import numpy
  import pandas
  from six import iteritems, raise_from, viewkeys
  from six.moves import reduce
  from zipline.data.bar_reader import NoDataAfterDate, NoDataBeforeDate, NoDataForSid, NoDataOnDate
  from zipline.data.session_bars import CurrencyAwareSessionBarReader
  from zipline.utils.memoize import lazyval
  from zipline.utils.numpy_utils import bytes_array_to_native_str_object_array
  from zipline.utils.pandas_utils import check_indexes_all_same
label_desc: Use image node_id 6 for calling the MultiCountryDailyBarReader obj's underlying member method code with example usage: obj.load_raw_arrays(columns, start_date, end_date, assets) and returns: self