code: def test_comparison_methods_scalar(comparison_op, dtype):
      op_name = f"__{comparison_op.__name__}__"
      a = pd.array(["a", None, "c"], dtype=dtype)
      other = "a"
      result = getattr(a, op_name)(other)
      if dtype.storage == "pyarrow_numpy":
          expected = np.array(
              [getattr(item, op_name)(other) for item in a]
          )
          if comparison_op == operator.ne:
              expected[1] = True
          else:
              expected[1] = False
          tm.assert_numpy_array_equal(result, expected.astype(np.bool_))
      else:
          expected_dtype = (
              "boolean[pyarrow]"
              if dtype.storage == "pyarrow"
              else "boolean"
          )
          expected = np.array(
              [getattr(item, op_name)(other) for item in a],
              dtype=object,
          )
          expected = pd.array(expected, 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 16 for calling a global function with example usage: test_comparison_methods_scalar(comparison_op, dtype) without return types