code: def test_parsing_vectorized(self):
      dct = dataclasses.asdict(self.entry)
  
      self._compare_with_scalar(dct, FrameAnnotation)
      self._compare_with_scalar(_NT(dct), _NT)
      self._compare_with_scalar((dct,), Tuple[FrameAnnotation])
      self._compare_with_scalar([dct], List[FrameAnnotation])
      self._compare_with_scalar(
          {"key": dct}, Dict[str, FrameAnnotation]
      )
  
      dct2 = dct.copy()
      dct2["meta"] = {"aux": 76}
      self._compare_with_scalar(dct2, FrameAnnotation)
  
file_path: pytorch3d/tests/implicitron/test_types.py
imports: import dataclasses
  import unittest
  from typing import Dict, List, NamedTuple, Tuple
  from pytorch3d.implicitron.dataset import types
  from pytorch3d.implicitron.dataset.types import FrameAnnotation
label_desc: Use image node_id 4 for calling the TestDatasetTypes obj's underlying member method code with example usage: obj.test_parsing_vectorized() without return types