code: def prepare_config_and_inputs_for_common(self):
      (
          config,
          spectrogram,
          noise_sequence,
      ) = self.prepare_config_and_inputs()
      inputs_dict = {
          "input_features": spectrogram,
          "noise_sequence": noise_sequence,
      }
      return config, inputs_dict
  
imports: import gc
  import inspect
  import random
  import unittest
  from datasets import Audio, load_dataset
  from transformers import UnivNetConfig, UnivNetFeatureExtractor
  from transformers.testing_utils import is_torch_available, require_torch, require_torch_gpu, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor
label_desc: Use image node_id 6 for calling the UnivNetModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict