code: def prepare_config_and_inputs(self):
      input_values = floats_tensor(
          [self.batch_size, self.max_length, self.num_mel_bins]
      )
  
      labels = None
      if self.use_labels:
          labels = ids_tensor(
              [self.batch_size], self.type_sequence_label_size
          )
  
      config = self.get_config()
  
      return config, input_values, labels
  
imports: import inspect
  import unittest
  from huggingface_hub import hf_hub_download
  from transformers import ASTConfig
  from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_torchaudio_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the ASTModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_values,  labels