code: def test_astype_unicode(self, using_infer_string):
      # see GH#7758: A bit of magic is required to set
      # default encoding to utf-8
      digits = string.digits
      test_series = [
          Series(
              [digits * 10, rand_str(63), rand_str(64), rand_str(1000)]
          ),
          Series(["データーサイエンス、お前はもう死んでいる"]),
      ]
  
      former_encoding = None
  
      if sys.getdefaultencoding() == "utf-8":
          # GH#45326 as of 2.0 Series.astype matches Index.astype by handling
          #  bytes with obj.decode() instead of str(obj)
          item = "野菜食べないとやばい"
          ser = Series([item.encode()])
          result = ser.astype(np.str_)
          expected = Series([item], dtype=object)
          tm.assert_series_equal(result, expected)
  
      for ser in test_series:
          res = ser.astype(np.str_)
          expec = ser.map(str)
          if using_infer_string:
              expec = expec.astype(object)
          tm.assert_series_equal(res, expec)
  
      # Restore the former encoding
      if former_encoding is not None and former_encoding != "utf-8":
          reload(sys)
          sys.setdefaultencoding(former_encoding)
  
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 24 for calling the TestAstype obj's underlying member method code with example usage: obj.test_astype_unicode(using_infer_string) without return types