code: def in_sample(self, index: pd.Index) -> pd.DataFrame:
      nobs = index.shape[0]
      terms = np.empty((index.shape[0], 12))
      for i in range(0, 12, 2):
          if i == 0:
              value = 1
          elif i == 2:
              value = np.arange(nobs)
          elif i == 4:
              value = np.random.standard_normal(nobs)
          elif i == 6:
              value = np.zeros(nobs)
              value[::2] = 1
          elif i == 8:
              value = 0
          else:  # elif i == 8:
              value = np.zeros(nobs)
              value[1::2] = 1
          terms[:, i] = terms[:, i + 1] = value
      return pd.DataFrame(terms, columns=self.columns, index=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 3 for calling the DummyTerm obj's underlying member method code with example usage: obj.in_sample(index) and returns: pd