code: def get_expected_image_size(self):
      return (self.size["height"], self.size["width"])
  
imports: import random
  import unittest
  import numpy
  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 FlavaImageProcessingTester obj's underlying member method code with example usage: obj.get_expected_image_size() and returns: self,  self