code: def test_DataclassFieldCaster(self):
      test_obj = TestDataclass("1", "1", "1", "1", "abc", "k")
  
      self.assertEqual(test_obj.a, "1")
      self.assertEqual(type(test_obj.a), str)
  
      self.assertEqual(test_obj.b, 1)
      self.assertEqual(type(test_obj.b), int)
      self.assertEqual(test_obj.b_plus_1, 2)
  
      self.assertEqual(test_obj.c, 1.0)
      self.assertEqual(type(test_obj.c), float)
  
      self.assertEqual(test_obj.d, ["a", "b", "c"])
      self.assertEqual(type(test_obj.d), list)
  
      self.assertEqual(test_obj.e, {"k": "k"})
      self.assertEqual(type(test_obj.e), dict)
  
imports: import os
  import tempfile
  import unittest
  import unittest.mock
  from dataclasses import dataclass
  from pathlib import Path
  from pytorchvideo.data.utils import DataclassFieldCaster, export_video_array, load_dataclass_dict_from_csv, save_dataclass_objs_to_headered_csv
  from pytorchvideo.data.video import VideoPathHandler
  from utils import temp_encoded_video
label_desc: Use image node_id 1 for calling the TestDataUtils obj's underlying member method code with example usage: obj.test_DataclassFieldCaster() without return types