class_docstr: Random mask tokens from src sentence.
docstr: Avalilable options relate to this Transform.
docstr_tok: ["Avalilable","options","relate","to","this","Transform","."]
code: def add_options(cls, parser):
      """Avalilable options relate to this Transform."""
      group = parser.add_argument_group("Transform/Token_Mask")
      group.add(
          "-tokenmask_temperature",
          "--tokenmask_temperature",
          type=float,
          default=1.0,
          help="Sampling temperature for token masking.",
      )
  
imports: import random
  import numpy
  from onmt.constants import DefaultTokens
  from onmt.transforms import register_transform
  from .transform import Transform, ObservableStats
label_desc: Use image node_id 2 for calling the TokenMaskTransform obj's underlying member method code with example usage: obj.add_options(cls, parser) without return types