code: def get_test_pipeline(self, model, tokenizer, processor):
      audio_classifier = AudioClassificationPipeline(
          model=model, feature_extractor=processor
      )
  
      # test with a raw waveform
      audio = np.zeros((34000,))
      audio2 = np.zeros((14000,))
      return audio_classifier, [audio2, audio]
  
file_path: transformers/tests/pipelines/test_pipelines_audio_classification.py
imports: import unittest
  import numpy
  from transformers import MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING, TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING
  from transformers.pipelines import AudioClassificationPipeline, pipeline
  from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, require_torchaudio, slow
  from .test_pipelines_common import ANY
label_desc: Use image node_id 1 for calling the AudioClassificationPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, processor) and returns: audio_classifier,  list