code: def prepare_audio(num_samples=1):
      ds = load_dataset(
          "hf-internal-testing/librispeech_asr_dummy",
          "clean",
          split="validation",
      )
      # automatic decoding with librispeech
      speech_samples = ds.sort("id").select(range(num_samples))[
          :num_samples
      ]["audio"]
      return [x["array"] for x in speech_samples]
  
imports: import copy
  import inspect
  import unittest
  import numpy
  from huggingface_hub import hf_hub_download
  from transformers import TvltConfig, is_datasets_available, is_speech_available, is_torch_available, is_vision_available
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling a global function with example usage: prepare_audio(num_samples) and returns: unknown