code: def get_model_conf(model_path, conf_path=None):
      """Get model config information by reading a model config file (model.json).
  
      Args:
          model_path (str): Model path.
          conf_path (str): Optional model config path.
  
      Returns:
          list[int, int, dict[str, Any]]: Config information loaded from json file.
  
      """
      if conf_path is None:
          model_conf = os.path.dirname(model_path) + "/model.json"
      else:
          model_conf = conf_path
      with open(model_conf, "rb") as f:
          logging.info("reading a config file from " + model_conf)
          confs = json.load(f)
      if isinstance(confs, dict):
          # for lm
          args = confs
          return argparse.Namespace(**args)
      else:
          # for asr, tts, mt
          idim, odim, args = confs
          return idim, odim, argparse.Namespace(**args)
  
imports: import argparse
  import copy
  import json
  import logging
  import os
  import shutil
  import tempfile
  import numpy
  import torch
label_desc: Use image node_id 10 for calling a global function with example usage: get_model_conf(model_path, conf_path) and returns: argparse, idim,  odim,  argparse