code: def get_cmudict_dict(use_cache=False):
      """Return corpus as dict."""
      if use_cache:
          return _get_cmudict_dict()
      return _get_cmudict_dict.__wrapped__()
  
file_path: deepchecks/deepchecks/nlp/utils/text_properties_models.py
imports: import logging
  import pathlib
  import warnings
  from contextlib import contextmanager
  from functools import lru_cache
  from importlib import import_module
  from typing import Optional, Union
  import requests
  from nltk import corpus
  from transformers.utils import logging
label_desc: Use image node_id 6 for calling a global function with example usage: get_cmudict_dict(use_cache) and returns: _get_cmudict_dict, _get_cmudict_dict