code: def prepare_config_and_inputs(self):
      input_values = floats_tensor(
          [self.batch_size, self.seq_length], scale=1.0
      )
      attention_mask = random_attention_mask(
          [self.batch_size, self.seq_length]
      )
  
      config = self.get_config()
  
      return config, input_values, attention_mask
  
imports: import math
  import unittest
  import numpy
  from datasets import load_dataset
  from tests.test_modeling_common import floats_tensor, ids_tensor, random_attention_mask
  from transformers import Data2VecAudioConfig, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_soundfile, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init
label_desc: Use image node_id 2 for calling the Data2VecAudioModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_values,  attention_mask