class_docstr: Test cases related to more complex DType promotions.  Further promotion
  tests are defined in `test_numeric.py`
code: def test_permutations_do_not_influence_result(self, dtypes, expected):
      # Tests that most permutations do not influence the result.  In the
      # above some uint and int combintations promote to a larger integer
      # type, which would then promote to a larger than necessary float.
      for perm in permutations(dtypes):
          assert np.result_type(*perm) == expected
  
imports: import functools
  import operator
  import pickle
  import sys
  import types
  from itertools import permutations
  from typing import Any
  from unittest import skipIf
  import pytest
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, subtest, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
  import numpy
label_desc: Use image node_id 4 for calling the TestPromotion obj's underlying member method code with example usage: obj.test_permutations_do_not_influence_result(dtypes, expected) without return types