code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
      config, pixel_values, labels = config_and_inputs
      inputs_dict = {"pixel_values": pixel_values}
      return config, inputs_dict
  
imports: import inspect
  import unittest
  from typing import List, Tuple
  from transformers import ConvNextConfig
  from transformers.testing_utils import require_tf, require_vision, slow
  from transformers.utils import cached_property, is_tf_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 6 for calling the TFConvNextModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict