code: def test_rnnt(bundle, sample_speech, expected):
      feature_extractor = bundle.get_feature_extractor()
      decoder = bundle.get_decoder().eval()
      token_processor = bundle.get_token_processor()
      waveform, _ = torchaudio.load(sample_speech)
      features, length = feature_extractor(waveform.squeeze())
      hypotheses = decoder(features, length, 10)
      text = token_processor(hypotheses[0][0])
      assert text == expected
  
imports: import pytest
  import torchaudio
  from torchaudio.pipelines import EMFORMER_RNNT_BASE_LIBRISPEECH
  from torchaudio.prototype.pipelines import EMFORMER_RNNT_BASE_MUSTC, EMFORMER_RNNT_BASE_TEDLIUM3
label_desc: Use image node_id 1 for calling a global function with example usage: test_rnnt(bundle, sample_speech, expected) without return types