code: def parse_args(args=None):
      """
      Add arguments for building the classifier.
      Parses command line args and returns the result.
      """
      parser = build_argparse()
      args = parser.parse_args(args)
  
      if args.wandb_name:
          args.wandb = True
  
      args.optim = args.optim.lower()
      if args.weight_decay is None:
          args.weight_decay = DEFAULT_WEIGHT_DECAY.get(args.optim, None)
      if args.momentum is None:
          args.momentum = DEFAULT_MOMENTUM.get(args.optim, None)
      if args.learning_rate is None:
          args.learning_rate = DEFAULT_LEARNING_RATES.get(
              args.optim, None
          )
  
      return args
  
imports: import argparse
  import ast
  import logging
  import os
  import random
  import re
  from enum import Enum
  import torch
  import torch.nn
  from stanza.models.common import loss
  from stanza.models.common import utils
  from stanza.models.pos.vocab import CharVocab
  import stanza.models.classifiers.data
  from stanza.models.classifiers.trainer import Trainer
  from stanza.models.classifiers.utils import WVType, ExtraVectors, ModelType
  from stanza.utils.confusion import format_confusion, confusion_to_accuracy, confusion_to_macro_f1
label_desc: Use image node_id 3 for calling a global function with example usage: parse_args(args) and returns: args