code: def test_deterministic_process(
      time_index, constant, order, seasonal, fourier, period, drop
  ):
      if seasonal and fourier:
          return
      dp = DeterministicProcess(
          time_index,
          constant=constant,
          order=order,
          seasonal=seasonal,
          fourier=fourier,
          period=period,
          drop=drop,
      )
      terms = dp.in_sample()
      pd.testing.assert_index_equal(terms.index, time_index)
      terms = dp.out_of_sample(23)
      assert isinstance(terms, pd.DataFrame)
  
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 28 for calling a global function with example usage: test_deterministic_process(time_index, constant, order, seasonal, fourier, period, drop) without return types