code: def lm_config_file(tmp_path: Path, token_list):
      lm_conf = "{'nlayers': 1, 'unit': 8}"
  
      LMTask.main(
          cmd=[
              "--dry_run",
              "true",
              "--output_dir",
              str(tmp_path / "lm"),
              "--token_list",
              str(token_list),
              "--token_type",
              "char",
              "--lm_conf",
              lm_conf,
          ]
      )
      return tmp_path / "lm" / "config.yaml"
  
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 7 for calling a global function with example usage: lm_config_file(tmp_path, token_list) and returns: unknown