code: def _compare_with_scalar(self, obj, typeannot, repeat=3):
      input = [obj] * 3
      vect_output = types._dataclass_list_from_dict_list(
          input, typeannot
      )
      self.assertEqual(len(input), repeat)
      gt = types._dataclass_from_dict(obj, typeannot)
      self.assertTrue(all(res == gt for res in vect_output))
  
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 5 for calling the TestDatasetTypes obj's underlying member method code with example usage: obj._compare_with_scalar(obj, typeannot, repeat) without return types