code: def test_drop():
      index = pd.RangeIndex(0, 200)
      dummy = DummyTerm()
      str(dummy)
      assert dummy != TimeTrend()
      dp = DeterministicProcess(
          index, additional_terms=[dummy], drop=True
      )
      in_samp = dp.in_sample()
      assert in_samp.shape == (200, 4)
      oos = dp.out_of_sample(37)
      assert oos.shape == (37, 4)
      assert list(oos.columns) == list(in_samp.columns)
      valid = ("const", "trend", "dummy", "normal")
      for valid_col in valid:
          assert sum([1 for col in oos if valid_col in col]) == 1
  
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 37 for calling a global function with example usage: test_drop() without return types