code: def test_isnumeric_unicode(method, expected, any_string_dtype):
      # 0x00bc: ¼ VULGAR FRACTION ONE QUARTER
      # 0x2605: ★ not number
      # 0x1378: ፸ ETHIOPIC NUMBER SEVENTY
      # 0xFF13: ３ Em 3  # noqa: RUF003
      ser = Series(
          ["A", "3", "¼", "★", "፸", "３", "four"],  # noqa: RUF001
          dtype=any_string_dtype,
      )
      expected_dtype = (
          "bool"
          if any_string_dtype in object_pyarrow_numpy
          else "boolean"
      )
      expected = Series(expected, dtype=expected_dtype)
      result = getattr(ser.str, method)()
      tm.assert_series_equal(result, expected)
  
      # compare with standard library
      expected = [getattr(item, method)() for item in ser]
      assert list(result) == expected
  
imports: from datetime import datetime, timedelta
  import numpy
  import pytest
  from pandas import DataFrame, Index, MultiIndex, Series
  import pandas._testing
  from pandas.core.strings.accessor import StringMethods
  from pandas.tests.strings import object_pyarrow_numpy
label_desc: Use image node_id 10 for calling a global function with example usage: test_isnumeric_unicode(method, expected, any_string_dtype) without return types