code: def get_config_from_string(parts):
      """
      Helper function to extract the configuration of a certain function from the column name.
      The column name parts (split by "__") should be passed to this function. It will skip the
      kind name and the function name and only use the parameter parts. These parts will be split up on "_"
      into the parameter name and the parameter value. This value is transformed into a python object
      (for example is "(1, 2, 3)" transformed into a tuple consisting of the ints 1, 2 and 3).
  
      Returns None of no parameters are in the column name.
  
      :param parts: The column name split up on "__"
      :type parts: list
      :return: a dictionary with all parameters, which are encoded in the column name.
      :rtype: dict
      """
      relevant_parts = parts[2:]
      if not relevant_parts:
          return
  
      config_kwargs = [s.rsplit("_", 1)[0] for s in relevant_parts]
      config_values = [s.rsplit("_", 1)[1] for s in relevant_parts]
  
      dict_if_configs = {}
  
      for key, value in zip(config_kwargs, config_values):
          if value.lower() == "nan":
              dict_if_configs[key] = np.NaN
          elif value.lower() == "-inf":
              dict_if_configs[key] = np.NINF
          elif value.lower() == "inf":
              dict_if_configs[key] = np.PINF
          else:
              dict_if_configs[key] = ast.literal_eval(value)
  
      return dict_if_configs
  
imports: import ast
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: get_config_from_string(parts) and returns: dict_if_configs