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]"),
          }
      )
  
file_path: catalyst/tests/test_benchmark.py
imports: import numpy
  import pandas
  from pandas.util.testing import assert_series_equal
  from catalyst.data.data_portal import DataPortal
  from catalyst.errors import BenchmarkAssetNotAvailableTooEarly, BenchmarkAssetNotAvailableTooLate, InvalidBenchmarkAsset
  from catalyst.sources.benchmark_source import BenchmarkSource
  from catalyst.testing import MockDailyBarReader, create_minute_bar_data, tmp_bcolz_equity_minute_bar_reader
  from catalyst.testing.fixtures import WithDataPortal, WithSimParams, WithTradingCalendars, CatalystTestCase
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