code: def get_module_dict_key_from_name(
      name: str, feature_name_suffix: str = FEATURE_NAME_SUFFIX
  ) -> str:
      """Returns a key that's guaranteed to be compatible with torch."""
      key = name.replace(".", "__ludwig_punct_period__")
      return key + feature_name_suffix
  
imports: import re
  from typing import Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  from ludwig.constants import NAME, PREPROCESSING, SEQUENCE, TEXT, TIMESERIES, TYPE
  from ludwig.utils.data_utils import hash_dict
  from ludwig.utils.strings_utils import get_tokenizer_from_registry, UNKNOWN_SYMBOL
label_desc: Use image node_id 8 for calling a global function with example usage: get_module_dict_key_from_name(name, feature_name_suffix) and returns: unknown