code: def test_comparison_methods_scalar_not_string(comparison_op, dtype):
      op_name = f"__{comparison_op.__name__}__"
  
      a = pd.array(["a", None, "c"], dtype=dtype)
      other = 42
  
      if op_name not in ["__eq__", "__ne__"]:
          with pytest.raises(
              TypeError,
              match="Invalid comparison|not supported between",
          ):
              getattr(a, op_name)(other)
  
          return
  
      result = getattr(a, op_name)(other)
  
      if dtype.storage == "pyarrow_numpy":
          expected_data = {
              "__eq__": [False, False, False],
              "__ne__": [True, True, True],
          }[op_name]
          expected = np.array(expected_data)
          tm.assert_numpy_array_equal(result, expected)
      else:
          expected_data = {
              "__eq__": [False, None, False],
              "__ne__": [True, None, True],
          }[op_name]
          expected_dtype = (
              "boolean[pyarrow]"
              if dtype.storage == "pyarrow"
              else "boolean"
          )
          expected = pd.array(expected_data, dtype=expected_dtype)
          tm.assert_extension_array_equal(result, expected)
  
imports: import operator
  import numpy
  import pytest
  from pandas.compat.pyarrow import pa_version_under12p0
  from pandas.core.dtypes.common import is_dtype_equal
  import pandas
  import pandas._testing
  from pandas.core.arrays.string_arrow import ArrowStringArray, ArrowStringArrayNumpySemantics
label_desc: Use image node_id 18 for calling a global function with example usage: test_comparison_methods_scalar_not_string(comparison_op, dtype) without return types