code: def test_asarray_object_dt64(self, tz):
      ser = Series(date_range("2000", periods=2, tz=tz))
  
      with tm.assert_produces_warning(None):
          # Future behavior (for tzaware case) with no warning
          result = np.asarray(ser, dtype=object)
  
      expected = np.array(
          [
              Timestamp("2000-01-01", tz=tz),
              Timestamp("2000-01-02", tz=tz),
          ]
      )
      tm.assert_numpy_array_equal(result, expected)
  
imports: import numpy
  import pytest
  from pandas.core.dtypes.dtypes import DatetimeTZDtype
  import pandas
  from pandas import CategoricalIndex, Series, Timedelta, Timestamp, date_range
  import pandas._testing
  from pandas.core.arrays import DatetimeArray, IntervalArray, NumpyExtensionArray, PeriodArray, SparseArray, TimedeltaArray
  from pandas.core.arrays.string_arrow import ArrowStringArrayNumpySemantics
label_desc: Use image node_id 1 for calling the TestAsArray obj's underlying member method code with example usage: obj.test_asarray_object_dt64(tz) without return types