code: def calculate(name: any, *args: any):
      r"""
      Use this to register configuration options.
  
      This has multiple overloads
  
      .. function:: calculate(name: Union[any, List[any]], func: Callable)
          :noindex:
  
      .. function:: calculate(name: Union[any, List[any]], option_name: str, func: Callable)
          :noindex:
  
      .. function:: calculate(name: Union[any, List[any]], pass_params: List[any], func: Callable)
          :noindex:
  
      .. function:: calculate(name: Union[any, List[any]], option_name: str, pass_params: List[any], func: Callable)
          :noindex:
  
      Arguments:
          name: the configuration item or a list of items.
              If it is a list of items the function should return
              tuple.
  
          func: the function to calculate the configuration
  
          option_name (str, optional): name of the option.
              If not provided it will be derived from the
              function name.
  
          pass_params (list, optional): list of params to be passed.
              If not provided the configs object is passed.
              If provided the corresponding calculated configuration items
              will be passed to the function
      """
      config_class = _get_config_class(name)
      if config_class is None:
          raise ConfigsError(
              "You need to pass config items to calculate"
          )
  
      option_name = None
      pass_params = None
      func = None
      for arg in args:
          if isinstance(arg, str):
              option_name = arg
          elif isinstance(arg, list):
              pass_params = arg
          elif type(arg) == type:
              func = arg
          else:
              func = arg
  
      if func is None:
          raise ConfigsError(
              "You need to pass the function that calculates the configs"
          )
  
      return config_class.calc_wrap(
          func, name, option_name, pass_params
      )
  
file_path: labml/client/labml/configs.py
imports: from typing import List, Callable, overload, Union, Tuple
  from labml.internal.configs.base import Configs
  from labml.internal.configs.config_item import ConfigItem
  from labml.utils.errors import ConfigsError
label_desc: Use image node_id 11 for calling a global function with example usage: calculate(name) and returns: config_class