code: def test_xy_and_out_casting(self, ufunc, casting, out_dtype):
      x, y = self.get_xy(ufunc)
      out = np.empty_like(x, dtype=out_dtype)
  
      if ufunc in no_complex and np.issubdtype(
          out_dtype, np.complexfloating
      ):
          raise SkipTest(f"{ufunc} does not accept complex.")
  
      can_cast_x = np.can_cast(x, out_dtype, casting=casting)
      can_cast_y = np.can_cast(y, out_dtype, casting=casting)
  
      if not (can_cast_x and can_cast_y):
          with assert_raises(TypeError):
              ufunc(x, out=out, casting=casting)
      else:
          result = ufunc(x, y, out=out, casting=casting)
          assert result.dtype == out_dtype
          assert result is out
  
imports: import operator
  from unittest import skipIf, SkipTest
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TEST_WITH_TORCHDYNAMO, TestCase
label_desc: Use image node_id 4 for calling the TestBinaryUfuncs obj's underlying member method code with example usage: obj.test_xy_and_out_casting(ufunc, casting, out_dtype) without return types