code: def out_of_sample(
      self,
      steps: int,
      index: pd.Index,
      forecast_index: pd.Index = None,
  ) -> pd.DataFrame:
      fcast_index = self._extend_index(index, steps, forecast_index)
      terms = np.random.standard_normal((steps, 12))
  
      return pd.DataFrame(
          terms, columns=self.columns, index=fcast_index
      )
  
imports: from statsmodels.compat.pandas import MONTH_END, PD_LT_1_0_0, QUARTER_END, YEAR_END, is_int_index
  from statsmodels.compat.pytest import pytest_warns
  from collections.abc import Hashable
  import numpy
  import pandas
  import pytest
  from statsmodels.tsa.deterministic import CalendarFourier, CalendarSeasonality, CalendarTimeTrend, DeterministicProcess, DeterministicTerm, Fourier, Seasonality, TimeTrend
label_desc: Use image node_id 4 for calling the DummyTerm obj's underlying member method code with example usage: obj.out_of_sample(steps, index, forecast_index) and returns: pd