code: def test_time_overflow_for_32bit_machines(self):
      # GH8943.  On some machines NumPy defaults to np.int32 (for example,
      # 32-bit Linux machines).  In the function _generate_regular_range
      # found in tseries/index.py, `periods` gets multiplied by `strides`
      # (which has value 1e9) and since the max value for np.int32 is ~2e9,
      # and since those machines won't promote np.int32 to np.int64, we get
      # overflow.
      periods = np_long(1000)
  
      idx1 = date_range(start="2000", periods=periods, freq="s")
      assert len(idx1) == periods
  
      idx2 = date_range(end="2000", periods=periods, freq="s")
      assert len(idx2) == periods
  
imports: import datetime
  from datetime import date
  import re
  import numpy
  import pytest
  from pandas.compat.numpy import np_long
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, Timestamp, date_range, offsets
  import pandas._testing
label_desc: Use image node_id 2 for calling the TestDatetimeIndex obj's underlying member method code with example usage: obj.test_time_overflow_for_32bit_machines() without return types