code: def test_asarray_tz_naive(self):
      # This shouldn't produce a warning.
      idx = date_range("2000", periods=2)
      # M8[ns] by default
      result = np.asarray(idx)
  
      expected = np.array(["2000-01-01", "2000-01-02"], dtype="M8[ns]")
      tm.assert_numpy_array_equal(result, expected)
  
      # optionally, object
      result = np.asarray(idx, dtype=object)
  
      expected = np.array(
          [Timestamp("2000-01-01"), Timestamp("2000-01-02")]
      )
      tm.assert_numpy_array_equal(result, expected)
  
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 10 for calling the TestDatetimeIndex obj's underlying member method code with example usage: obj.test_asarray_tz_naive() without return types