code: def test_range_casting():
      idx = np.arange(120).astype(np.int64)
      dp = DeterministicProcess(
          idx, constant=True, order=1, seasonal=True, period=12
      )
      idx = pd.RangeIndex(0, 120)
      dp2 = DeterministicProcess(
          idx, constant=True, order=1, seasonal=True, period=12
      )
      pd.testing.assert_frame_equal(dp.in_sample(), dp2.in_sample())
      pd.testing.assert_frame_equal(
          dp.range(100, 150), dp2.range(100, 150)
      )
  
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 32 for calling a global function with example usage: test_range_casting() without return types