code: def test_GenerateText(lm_config_file):
      generatetext = GenerateText(
          lm_train_config=lm_config_file, beam_size=1
      )
  
      # Test with np.ndarray input
      text = np.random.randint(
          low=1,
          high=len(generatetext.lm_train_args.token_list) - 1,
          size=(10,),
      )
      results = generatetext(text)
      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)
  
      # Test with str input
      text = "this is a test"
      results = generatetext(text)
      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)
  
file_path: espnet/test/espnet2/bin/test_lm_inference.py
imports: import string
  from argparse import ArgumentParser
  from pathlib import Path
  import numpy
  import pytest
  from espnet2.bin.lm_inference import GenerateText, get_parser, inference, main
  from espnet2.tasks.lm import LMTask
  from espnet.nets.beam_search import Hypothesis
label_desc: Use image node_id 5 for calling a global function with example usage: test_GenerateText(lm_config_file) without return types