code: def prepare_config_and_inputs(self):
      pixel_values = floats_tensor(
          [
              self.batch_size,
              self.num_channels,
              self.image_size,
              self.image_size,
          ]
      )
  
      config = self.get_config()
  
      return config, pixel_values
  
imports: import inspect
  import unittest
  from transformers import ResNetConfig, is_flax_available
  from transformers.testing_utils import require_flax, slow
  from transformers.utils import cached_property, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor
label_desc: Use image node_id 2 for calling the FlaxResNetModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  pixel_values