code: def test_image_processor_properties(self):
      image_processing = self.image_processing_class(
          **self.image_processor_dict
      )
      self.assertTrue(hasattr(image_processing, "do_resize"))
      self.assertTrue(hasattr(image_processing, "size"))
      self.assertTrue(hasattr(image_processing, "do_center_crop"))
      self.assertTrue(hasattr(image_processing, "center_crop"))
      self.assertTrue(
          hasattr(image_processing, "do_flip_channel_order")
      )
  
imports: import unittest
  from datasets import load_dataset
  from transformers.testing_utils import require_torch, require_vision
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_image_processing_common import ImageProcessingTestMixin, prepare_image_inputs
label_desc: Use image node_id 3 for calling the MobileViTImageProcessingTest obj's underlying member method code with example usage: obj.test_image_processor_properties() without return types