code: def test_invalid_types(self):
      # Make sure invalid type strings raise an error
  
      assert_raises(TypeError, np.dtype, "O3")
      assert_raises(TypeError, np.dtype, "O5")
      assert_raises(TypeError, np.dtype, "O7")
      assert_raises(TypeError, np.dtype, "b3")
      assert_raises(TypeError, np.dtype, "h4")
      assert_raises(TypeError, np.dtype, "I5")
      assert_raises(TypeError, np.dtype, "e3")
      assert_raises(TypeError, np.dtype, "f5")
  
      if np.dtype("l").itemsize == 8:
          assert_raises(TypeError, np.dtype, "l4")
          assert_raises(TypeError, np.dtype, "L4")
      else:
          assert_raises(TypeError, np.dtype, "l8")
          assert_raises(TypeError, np.dtype, "L8")
  
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 3 for calling the TestBuiltin obj's underlying member method code with example usage: obj.test_invalid_types() without return types