code: def test_streaming_Speech2Text(
      use_lm,
      token_type,
      beam_search_config,
      decoding_window,
      left_context,
      asr_stream_config_file,
      lm_config_file,
  ):
      speech2text = Speech2Text(
          asr_train_config=asr_stream_config_file,
          lm_train_config=lm_config_file if use_lm else None,
          beam_size=2,
          beam_search_config=beam_search_config,
          token_type=token_type,
          streaming=True,
          decoding_window=decoding_window,
          left_context=left_context,
      )
  
      speech = np.random.randn(10000)
  
      decoding_samples = speech2text.audio_processor.decoding_samples
      decoding_steps = len(speech) // decoding_samples
  
      for i in range(0, decoding_steps + 1, 1):
          _start = i * decoding_samples
  
          if i == decoding_steps:
              hyps = speech2text.streaming_decode(
                  speech[i * decoding_samples : len(speech)],
                  is_final=True,
              )
          else:
              speech2text.streaming_decode(
                  speech[
                      (i * decoding_samples) : _start
                      + decoding_samples
                      - 1
                  ],
                  is_final=False,
              )
  
      results = speech2text.hypotheses_to_results(hyps)
  
      for text, token, token_int, hyp in results:
          assert text is None or isinstance(text, str)
          assert isinstance(token, List)
          assert isinstance(token_int, List)
          assert isinstance(hyp, Hypothesis)
  
imports: import string
  from argparse import ArgumentParser
  from distutils.version import LooseVersion
  from pathlib import Path
  from typing import List
  import numpy
  import pytest
  import torch
  from espnet2.asr_transducer.beam_search_transducer import Hypothesis
  from espnet2.bin.asr_transducer_inference import Speech2Text, get_parser, main
  from espnet2.tasks.asr_transducer import ASRTransducerTask
  from espnet2.tasks.lm import LMTask
label_desc: Use image node_id 9 for calling a global function with example usage: test_streaming_Speech2Text(use_lm, token_type, beam_search_config, decoding_window, left_context, asr_stream_config_file, lm_config_file) without return types