code: def test_processor_can_use_legacy_annotation_format(self):
      image_processor_dict = (
          self.image_processor_tester.prepare_image_processor_dict()
      )
      fixtures_path = (
          pathlib.Path(__file__).parent
          / "fixtures"
          / "tests_samples"
          / "COCO"
      )
  
      with open(fixtures_path / "coco_annotations.txt", "r") as f:
          detection_target = json.loads(f.read())
  
      detection_annotations = {
          "image_id": 39769,
          "annotations": detection_target,
      }
  
      detection_params = {
          "images": Image.open(fixtures_path / "000000039769.png"),
          "annotations": detection_annotations,
          "return_tensors": "pt",
      }
  
      with open(
          fixtures_path / "coco_panoptic_annotations.txt", "r"
      ) as f:
          panoptic_target = json.loads(f.read())
  
      panoptic_annotations = {
          "file_name": "000000039769.png",
          "image_id": 39769,
          "segments_info": panoptic_target,
      }
  
      masks_path = pathlib.Path(fixtures_path / "coco_panoptic")
  
      panoptic_params = {
          "images": Image.open(fixtures_path / "000000039769.png"),
          "annotations": panoptic_annotations,
          "return_tensors": "pt",
          "masks_path": masks_path,
      }
  
      test_cases = [
          ("coco_detection", detection_params),
          ("coco_panoptic", panoptic_params),
          (AnnotionFormat.COCO_DETECTION, detection_params),
          (AnnotionFormat.COCO_PANOPTIC, panoptic_params),
          (AnnotationFormat.COCO_DETECTION, detection_params),
          (AnnotationFormat.COCO_PANOPTIC, panoptic_params),
      ]
  
      def _compare(a, b) -> None:
          if isinstance(a, (dict, BatchFeature)):
              self.assertEqual(a.keys(), b.keys())
              for k, v in a.items():
                  _compare(v, b[k])
          elif isinstance(a, list):
              self.assertEqual(len(a), len(b))
              for idx in range(len(a)):
                  _compare(a[idx], b[idx])
          elif isinstance(a, torch.Tensor):
              self.assertTrue(torch.allclose(a, b, atol=1e-3))
          elif isinstance(a, str):
              self.assertEqual(a, b)
  
      for annotation_format, params in test_cases:
          with self.subTest(annotation_format):
              image_processor_params = {
                  **image_processor_dict,
                  **{"format": annotation_format},
              }
              image_processor_first = self.image_processing_class(
                  **image_processor_params
              )
  
              with tempfile.TemporaryDirectory() as tmpdirname:
                  image_processor_first.save_pretrained(tmpdirname)
                  image_processor_second = (
                      self.image_processing_class.from_pretrained(
                          tmpdirname
                      )
                  )
  
              # check the 'format' key exists and that the dicts of the
              # first and second processors are equal
              self.assertIn(
                  "format", image_processor_first.to_dict().keys()
              )
              self.assertEqual(
                  image_processor_second.to_dict(),
                  image_processor_first.to_dict(),
              )
  
              # perform encoding using both processors and compare
              # the resulting BatchFeatures
              first_encoding = image_processor_first(**params)
              second_encoding = image_processor_second(**params)
              _compare(first_encoding, second_encoding)
  
imports: import json
  import os
  import pathlib
  import tempfile
  from transformers import BatchFeature
  from transformers.image_utils import AnnotationFormat, AnnotionFormat
  from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_vision
  from transformers.utils import is_torch_available, is_vision_available
label_desc: Use image node_id 1 for calling the AnnotationFormatTestMixin obj's underlying member method code with example usage: obj.test_processor_can_use_legacy_annotation_format() without return types