code: def setup_args(parser=None):
      if parser is None:
          parser = ParlaiParser(
              True, True, "Compute statistics from model predictions"
          )
      DictionaryAgent.add_cmdline_args(parser, partial_opt=None)
      # Get command line arguments
      parser.add_argument("-ne", "--num-examples", type=int, default=-1)
      parser.add_argument(
          "-ltim", "--log-every-n-secs", type=float, default=2
      )
      parser.add_argument(
          "-ed",
          "--external-dict",
          type=str,
          default=None,
          help="External dictionary for stat computation",
      )
      parser.add_argument(
          "-fb",
          "--freq-bins",
          type=str,
          default="0,100,1000,10000",
          help="Bins boundaries for rare words stat",
      )
      parser.add_argument(
          "-dup",
          "--dump-predictions-path",
          type=str,
          default=None,
          help="Dump predictions into file",
      )
      parser.add_argument(
          "-cun",
          "--compute-unique",
          type="bool",
          default=True,
          help="Compute %% of unique responses from the model",
      )
      parser.set_defaults(datatype="valid")
      TensorboardLogger.add_cmdline_args(parser, partial_opt=None)
      return parser
  
file_path: ParlAI/parlai/scripts/eval_wordstat.py
imports: from parlai.core.params import ParlaiParser
  from parlai.core.dict import DictionaryAgent
  from parlai.core.agents import create_agent
  from parlai.core.worlds import create_task
  from parlai.utils.misc import TimeLogger
  from parlai.core.metrics import normalize_answer
  from parlai.core.logs import TensorboardLogger
  from collections import Counter
  from parlai.core.script import ParlaiScript, register_script
  from parlai.utils.io import PathManager
  import copy
  import numpy
  import random
label_desc: Use image node_id 1 for calling a global function with example usage: setup_args(parser) and returns: parser