code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          input_ids,
          decoder_input_ids,
          attention_mask,
          decoder_attention_mask,
          lm_labels,
      ) = config_and_inputs
  
      inputs_dict = {
          "input_ids": input_ids,
          "attention_mask": attention_mask,
          "decoder_input_ids": decoder_input_ids,
          "decoder_attention_mask": decoder_attention_mask,
          "use_cache": False,
      }
      return config, inputs_dict
  
imports: import copy
  import tempfile
  import unittest
  import numpy
  from datasets import load_dataset
  from transformers import Pop2PianoConfig
  from transformers.feature_extraction_utils import BatchFeature
  from transformers.testing_utils import require_essentia, require_librosa, require_onnx, require_scipy, require_torch, slow, torch_device
  from transformers.utils import is_essentia_available, is_librosa_available, is_scipy_available, is_torch_available
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 15 for calling the Pop2PianoModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict