code: def test_invert(self, data):
      ser = pd.Series(data, name="name")
      try:
          # 10 is an arbitrary choice here, just avoid iterating over
          #  the whole array to trim test runtime
          [~x for x in data[:10]]
      except TypeError:
          # scalars don't support invert -> we don't expect the vectorized
          #  operation to succeed
          with pytest.raises(TypeError):
              ~ser
          with pytest.raises(TypeError):
              ~data
      else:
          # Note we do not reuse the pointwise result to construct expected
          #  because python semantics for negating bools are weird see GH#54569
          result = ~ser
          expected = pd.Series(~data, name="name")
          tm.assert_series_equal(result, expected)
  
imports: from __future__ import annotations
  from typing import final
  import numpy
  import pytest
  from pandas._config import using_pyarrow_string_dtype
  from pandas.core.dtypes.common import is_string_dtype
  import pandas
  import pandas._testing
  from pandas.core import ops
label_desc: Use image node_id 1 for calling the BaseUnaryOpsTests obj's underlying member method code with example usage: obj.test_invert(data) without return types