code: def test_convert_dtypes_infer_objects(using_copy_on_write):
      ser = Series(["a", "b", "c"])
      ser_orig = ser.copy()
      result = ser.convert_dtypes(
          convert_integer=False,
          convert_boolean=False,
          convert_floating=False,
          convert_string=False,
      )
  
      if using_copy_on_write:
          assert np.shares_memory(get_array(ser), get_array(result))
      else:
          assert not np.shares_memory(get_array(ser), get_array(result))
  
      result.iloc[0] = "x"
      tm.assert_series_equal(ser, ser_orig)
  
imports: import pickle
  import numpy
  import pytest
  from pandas.compat.pyarrow import pa_version_under12p0
  import pandas
  from pandas import DataFrame, Series, Timestamp, date_range
  import pandas._testing
  from pandas.tests.copy_view.util import get_array
label_desc: Use image node_id 13 for calling a global function with example usage: test_convert_dtypes_infer_objects(using_copy_on_write) without return types