code: def make_stock_dividends_data(cls):
      declared_date = cls.sim_params.sessions[45]
      ex_date = cls.sim_params.sessions[50]
      record_date = pay_date = cls.sim_params.sessions[55]
      return pd.DataFrame(
          {
              "sid": np.array([4], dtype=np.uint32),
              "payment_sid": np.array([5], dtype=np.uint32),
              "ratio": np.array([2], dtype=np.float64),
              "declared_date": np.array(
                  [declared_date], dtype="datetime64[ns]"
              ),
              "ex_date": np.array([ex_date], dtype="datetime64[ns]"),
              "record_date": np.array(
                  [record_date], dtype="datetime64[ns]"
              ),
              "pay_date": np.array([pay_date], dtype="datetime64[ns]"),
          }
      )
  
imports: import logbook
  import numpy
  import pandas
  from pandas.util.testing import assert_series_equal
  from zipline.data.data_portal import DataPortal
  from zipline.errors import BenchmarkAssetNotAvailableTooEarly, BenchmarkAssetNotAvailableTooLate, InvalidBenchmarkAsset
  from zipline.sources.benchmark_source import BenchmarkSource
  from zipline.utils.run_algo import BenchmarkSpec
  from zipline.testing import MockDailyBarReader, create_minute_bar_data, parameter_space, tmp_bcolz_equity_minute_bar_reader
  from zipline.testing.predicates import assert_equal
  from zipline.testing.fixtures import WithAssetFinder, WithDataPortal, WithSimParams, WithTmpDir, WithTradingCalendars, ZiplineTestCase
  from zipline.testing.core import make_test_handler
label_desc: Use image node_id 3 for calling the TestBenchmark obj's underlying member method code with example usage: obj.make_stock_dividends_data(cls) and returns: pd