code: def test_ufunc_with_out(self, dtype):
      arr = pd.array([1, 2, 3], dtype=dtype)
      arr2 = pd.array([1, 2, pd.NA], dtype=dtype)
  
      mask = arr == arr
      mask2 = arr2 == arr2
  
      result = np.zeros(3, dtype=bool)
      result |= mask
      # If MaskedArray.__array_ufunc__ handled "out" appropriately,
      #  `result` should still be an ndarray.
      assert isinstance(result, np.ndarray)
      assert result.all()
  
      # result |= mask worked because mask could be cast losslessly to
      #  boolean ndarray. mask2 can't, so this raises
      result = np.zeros(3, dtype=bool)
      msg = "Specify an appropriate 'na_value' for this dtype"
      with pytest.raises(ValueError, match=msg):
          result |= mask2
  
      # addition
      res = np.add(arr, arr2)
      expected = pd.array([2, 4, pd.NA], dtype=dtype)
      tm.assert_extension_array_equal(res, expected)
  
      # when passing out=arr, we will modify 'arr' inplace.
      res = np.add(arr, arr2, out=arr)
      assert res is arr
      tm.assert_extension_array_equal(res, expected)
      tm.assert_extension_array_equal(arr, expected)
  
file_path: pandas/pandas/tests/arrays/masked_shared.py
imports: import numpy
  import pytest
  import pandas
  import pandas._testing
  from pandas.tests.extension.base import BaseOpsUtil
label_desc: Use image node_id 6 for calling the NumericOps obj's underlying member method code with example usage: obj.test_ufunc_with_out(dtype) without return types