class_docstr: This masks out tokens according to the given tokenizer.
  
  The masked variables are
  
  output_type : "string" (default) or "token_ids"
docstr: Called by explainers to allow us to convert data to better match masking (here this means tokenizing).
          
code: def data_transform(self, s):
      """Called by explainers to allow us to convert data to better match masking (here this means tokenizing)."""
      return (self.token_segments(s)[0],)
  
imports: import math
  import re
  import numpy
  from .._serializable import Deserializer, Serializer
  from ..utils import safe_isinstance
  from ..utils.transformers import SENTENCEPIECE_TOKENIZERS, getattr_silent, parse_prefix_suffix_for_tokenizer
  from ._masker import Masker
label_desc: Use image node_id 3 for calling the Text obj's underlying member method code with example usage: obj.data_transform(s) and returns: self