code: def run_pipeline_test(self, speech_generator, _):
      outputs = speech_generator("This is a test")
      self.assertEqual(ANY(np.ndarray), outputs["audio"])
  
      forward_params = (
          {"num_return_sequences": 2, "do_sample": True}
          if speech_generator.model.can_generate()
          else {}
      )
      outputs = speech_generator(
          ["This is great !", "Something else"],
          forward_params=forward_params,
      )
      audio = [output["audio"] for output in outputs]
      self.assertEqual([ANY(np.ndarray), ANY(np.ndarray)], audio)
  
file_path: transformers/tests/pipelines/test_pipelines_text_to_audio.py
imports: import unittest
  import numpy
  from transformers import MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING, AutoProcessor, TextToAudioPipeline, pipeline
  from transformers.testing_utils import is_pipeline_test, require_torch, require_torch_accelerator, require_torch_or_tf, slow, torch_device
  from transformers.trainer_utils import set_seed
  from .test_pipelines_common import ANY
label_desc: Use image node_id 8 for calling the TextToAudioPipelineTests obj's underlying member method code with example usage: obj.run_pipeline_test(speech_generator, _) without return types