code: def test_drop_two_consants(time_index):
      tt = TimeTrend(constant=True, order=1)
      dp = DeterministicProcess(
          time_index, constant=True, additional_terms=[tt], drop=True
      )
      assert dp.in_sample().shape[1] == 2
      dp2 = DeterministicProcess(
          time_index, additional_terms=[tt], drop=True
      )
      pd.testing.assert_frame_equal(dp.in_sample(), dp2.in_sample())
  
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 35 for calling a global function with example usage: test_drop_two_consants(time_index) without return types