code: def test_Speech2Speech(s2st_config_file):
      speech2speech = Speech2Speech(
          train_config=s2st_config_file, beam_size=1
      )
      speech = np.random.randn(1, 10, 20)
      results = speech2speech(speech)
      assert isinstance(results, dict)
      assert "feat_gen" in results.keys()
      assert isinstance(results["feat_gen"], torch.Tensor)
  
file_path: espnet/test/espnet2/bin/test_s2st_inference.py
imports: import string
  from argparse import ArgumentParser
  from pathlib import Path
  import numpy
  import pytest
  import torch
  from espnet2.bin.s2st_inference import Speech2Speech, get_parser, main
  from espnet2.tasks.s2st import S2STTask
  from espnet.nets.beam_search import Hypothesis
label_desc: Use image node_id 7 for calling a global function with example usage: test_Speech2Speech(s2st_config_file) without return types