code: def check_reduce(self, ser: pd.Series, op_name: str, skipna: bool):
      res_op = getattr(ser, op_name)
      # avoid coercing int -> float. Just cast to the actual numpy type.
      # error: Item "ExtensionDtype" of "dtype[Any] | ExtensionDtype" has
      # no attribute "numpy_dtype"
      cmp_dtype = ser.dtype.numpy_dtype  # type: ignore[union-attr]
      alt = ser.astype(cmp_dtype)
      exp_op = getattr(alt, op_name)
      if op_name == "count":
          result = res_op()
          expected = exp_op()
      else:
          result = res_op(skipna=skipna)
          expected = exp_op(skipna=skipna)
      tm.assert_almost_equal(result, expected)
  
imports: import numpy
  import pytest
  from pandas.core.dtypes.dtypes import NumpyEADtype
  import pandas
  import pandas._testing
  from pandas.api.types import is_object_dtype
  from pandas.core.arrays.numpy_ import NumpyExtensionArray
  from pandas.tests.extension import base
label_desc: Use image node_id 19 for calling the TestNumpyExtensionArray obj's underlying member method code with example usage: obj.check_reduce(ser, op_name, skipna) without return types