code: def format_mulenc_args(args):
      """Format args for multi-encoder setup.
  
      It deals with following situations:  (when args.num_encs=2):
      1. args.elayers = None -> args.elayers = [4, 4];
      2. args.elayers = 4 -> args.elayers = [4, 4];
      3. args.elayers = [4, 4, 4] -> args.elayers = [4, 4].
  
      """
      # default values when None is assigned.
      default_dict = {
          "etype": "blstmp",
          "elayers": 4,
          "eunits": 300,
          "subsample": "1",
          "dropout_rate": 0.0,
          "atype": "dot",
          "adim": 320,
          "awin": 5,
          "aheads": 4,
          "aconv_chans": -1,
          "aconv_filts": 100,
      }
      for k in default_dict.keys():
          if isinstance(vars(args)[k], list):
              if len(vars(args)[k]) != args.num_encs:
                  logging.warning(
                      "Length mismatch {}: Convert {} to {}.".format(
                          k,
                          vars(args)[k],
                          vars(args)[k][: args.num_encs],
                      )
                  )
              vars(args)[k] = vars(args)[k][: args.num_encs]
          else:
              if not vars(args)[k]:
                  # assign default value if it is None
                  vars(args)[k] = default_dict[k]
                  logging.warning(
                      "{} is not specified, use default value {}.".format(
                          k, default_dict[k]
                      )
                  )
              # duplicate
              logging.warning(
                  "Type mismatch {}: Convert {} to {}.".format(
                      k,
                      vars(args)[k],
                      [vars(args)[k] for _ in range(args.num_encs)],
                  )
              )
              vars(args)[k] = [
                  vars(args)[k] for _ in range(args.num_encs)
              ]
      return args
  
imports: import argparse
  import copy
  import json
  import logging
  import os
  import shutil
  import tempfile
  import numpy
  import torch
label_desc: Use image node_id 19 for calling a global function with example usage: format_mulenc_args(args) and returns: args