code: def test_type_annotate_py3(self):
      def fn():
          a: List[int] = []
          b: torch.Tensor = torch.ones(2, 2)
          c: Optional[torch.Tensor] = None
          d: Optional[torch.Tensor] = torch.ones(3, 4)
          for _ in range(10):
              a.append(4)
              c = torch.ones(2, 2)
              d = None
          return a, b, c, d
  
      self.checkScript(fn, ())
  
      def wrong_type():
          wrong: List[int] = [0.5]
          return wrong
  
      with self.assertRaisesRegex(
          RuntimeError,
          "List type annotation"
          r" `List\[int\]` did not match the "
          "types of the given list elements",
      ):
          torch.jit.script(wrong_type)
  
imports: from collections import namedtuple
  from typing import Dict, Iterator, List, Optional, Tuple
  from torch.testing._internal.jit_utils import JitTestCase
  from torch.testing import FileCheck
  from textwrap import dedent
  from jit.test_module_interface import TestModuleInterface
  import inspect
  import os
  import sys
  import torch
  import torch.testing._internal.jit_utils
label_desc: Use image node_id 6 for calling the TestTypesAndAnnotation obj's underlying member method code with example usage: obj.test_type_annotate_py3() and returns: a,  b,  c,  d, wrong