code: def test_min_max_numpy(
      method, box, dtype, request, arrow_string_storage
  ):
      if dtype.storage in arrow_string_storage and box is pd.array:
          if box is pd.array:
              reason = "'<=' not supported between instances of 'str' and 'NoneType'"
          else:
              reason = (
                  "'ArrowStringArray' object has no attribute 'max'"
              )
          mark = pytest.mark.xfail(raises=TypeError, reason=reason)
          request.applymarker(mark)
  
      arr = box(["a", "b", "c", None], dtype=dtype)
      result = getattr(np, method)(arr)
      expected = "a" if method == "min" else "c"
      assert 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 29 for calling a global function with example usage: test_min_max_numpy(method, box, dtype, request, arrow_string_storage) without return types