code: def make_dividends_data(cls):
      return pd.DataFrame(
          [
              {
                  # only care about ex date, the other dates don't matter here
                  "ex_date": cls.trading_days[2].to_datetime64(),
                  "record_date": cls.trading_days[2].to_datetime64(),
                  "declared_date": cls.trading_days[2].to_datetime64(),
                  "pay_date": cls.trading_days[2].to_datetime64(),
                  "amount": 0.5,
                  "sid": cls.DIVIDEND_ASSET_SID,
              }
          ],
          columns=[
              "ex_date",
              "record_date",
              "declared_date",
              "pay_date",
              "amount",
              "sid",
          ],
      )
  
imports: from collections import OrderedDict
  from numpy import array, append, nan, full
  from numpy.testing import assert_almost_equal
  import pandas
  from pandas import Timedelta
  from six import iteritems
  from zipline.assets import Equity, Future
  from zipline.data.data_portal import HISTORY_FREQUENCIES, OHLCV_FIELDS
  from zipline.data.minute_bars import FUTURES_MINUTES_PER_DAY, US_EQUITIES_MINUTES_PER_DAY
  from zipline.testing import parameter_space
  from zipline.testing.fixtures import ZiplineTestCase, WithTradingSessions, WithDataPortal, alias
  from zipline.testing.predicates import assert_equal
  from zipline.utils.numpy_utils import float64_dtype
label_desc: Use image node_id 5 for calling the DataPortalTestBase obj's underlying member method code with example usage: obj.make_dividends_data(cls) and returns: pd