code: def test_Speech2Text(asr_config_file, lm_config_file):
      speech2text = Speech2Text(
          asr_train_config=asr_config_file,
          lm_train_config=lm_config_file,
          beam_size=1,
      )
      speech = np.random.randn(1000)
      results = speech2text(speech)
      for text, token, token_int, hyp in results:
          assert isinstance(text, str)
          assert isinstance(token[0], str)
          assert isinstance(token_int[0], int)
          assert isinstance(hyp, Hypothesis)
  
imports: import string
  from argparse import ArgumentParser
  from pathlib import Path
  import numpy
  import pytest
  import yaml
  from espnet2.bin.asr_inference import Speech2Text, get_parser, main
  from espnet2.bin.asr_inference_streaming import Speech2TextStreaming
  from espnet2.bin.whisper_export_vocabulary import export_vocabulary
  from espnet2.tasks.asr import ASRTask
  from espnet2.tasks.enh_s2t import EnhS2TTask
  from espnet2.tasks.lm import LMTask
  from espnet.nets.beam_search import Hypothesis
label_desc: Use image node_id 6 for calling a global function with example usage: test_Speech2Text(asr_config_file, lm_config_file) without return types