code: def add_length_penalty_args(params):
      params.add_argument(
          "--length-penalty-alpha",
          default=1.0,
          type=float,
          help="Alpha factor for the length penalty used in beam search: "
          "(beta + len(Y))**alpha/(beta + 1)**alpha. A value of 0.0 will therefore turn off "
          "length normalization. Default: %(default)s.",
      )
      params.add_argument(
          "--length-penalty-beta",
          default=0.0,
          type=float,
          help="Beta factor for the length penalty used in scoring: "
          "(beta + len(Y))**alpha/(beta + 1)**alpha. Default: %(default)s",
      )
  
imports: import argparse
  import os
  import sys
  import types
  from typing import Any, Callable, Dict, List, Tuple, Optional
  import yaml
  from sockeye.utils import smart_open
  from .None import constants
label_desc: Use image node_id 37 for calling a global function with example usage: add_length_penalty_args(params) without return types