code: def parse_agglayer_conf(agglayer_arg_conf):
      import copy
  
      if "agg_type" not in agglayer_arg_conf:
          raise ValueError(
              "can not load agg layer conf, keyword agg_type not found"
          )
      agglayer_arg_conf = copy.deepcopy(agglayer_arg_conf)
      agg_type = agglayer_arg_conf["agg_type"]
      agglayer_arg_conf.pop("agg_type")
      if agg_type == "fed_pass":
          agglayer_arg = FedPassArgument(**agglayer_arg_conf)
      elif agg_type == "std":
          agglayer_arg = StdAggLayerArgument(**agglayer_arg_conf)
      elif agg_type == "hess":
          agglayer_arg = SSHEArgument(**agglayer_arg_conf)
      else:
          raise ValueError(f"agg type {agg_type} not supported")
  
      return agglayer_arg
  
imports: import torch
  import torch
  from fate.arch import Context
  from fate.ml.nn.model_zoo.agg_layer.agg_layer import AggLayerGuest, AggLayerHost
  from fate.ml.nn.model_zoo.agg_layer.fedpass.agg_layer import FedPassAggLayerGuest, FedPassAggLayerHost, get_model
  from fate.ml.nn.model_zoo.agg_layer.sshe.agg_layer import SSHEAggLayerHost, SSHEAggLayerGuest
  from typing import Any, Dict, List, Union, Callable, Literal
  from dataclasses import dataclass, fields
  from enum import Enum
  import logging
  from torch import device
label_desc: Use image node_id 1 for calling a global function with example usage: parse_agglayer_conf(agglayer_arg_conf) and returns: agglayer_arg