code: def create_and_check_model(self, config, pixel_values):
      model = FlaxViTModel(config=config)
      result = model(pixel_values)
      # expected sequence length = num_patches + 1 (we add 1 for the [CLS] token)
      image_size = (self.image_size, self.image_size)
      patch_size = (self.patch_size, self.patch_size)
      num_patches = (image_size[1] // patch_size[1]) * (
          image_size[0] // patch_size[0]
      )
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, num_patches + 1, self.hidden_size),
      )
  
imports: import inspect
  import unittest
  import numpy
  from transformers import ViTConfig, is_flax_available
  from transformers.testing_utils import require_flax, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor
label_desc: Use image node_id 3 for calling the FlaxViTModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, pixel_values) without return types