code: def test_astype_mixed_object_to_dt64tz(self):
      # pre-2.0 this raised ValueError bc of tz mismatch
      # xref GH#32581
      ts = Timestamp("2016-01-04 05:06:07", tz="US/Pacific")
      ts2 = ts.tz_convert("Asia/Tokyo")
  
      ser = Series([ts, ts2], dtype=object)
      res = ser.astype("datetime64[ns, Europe/Brussels]")
      expected = Series(
          [
              ts.tz_convert("Europe/Brussels"),
              ts2.tz_convert("Europe/Brussels"),
          ],
          dtype="datetime64[ns, Europe/Brussels]",
      )
      tm.assert_series_equal(res, expected)
  
imports: from datetime import datetime, timedelta
  from importlib import reload
  import string
  import sys
  import numpy
  import pytest
  from pandas._libs.tslibs import iNaT
  import pandas.util._test_decorators
  from pandas import NA, Categorical, CategoricalDtype, DatetimeTZDtype, Index, Interval, NaT, Series, Timedelta, Timestamp, cut, date_range, to_datetime
  import pandas._testing
label_desc: Use image node_id 2 for calling the TestAstype obj's underlying member method code with example usage: obj.test_astype_mixed_object_to_dt64tz() without return types