class_docstr: TextEncoder backed by a list of tokens.
  
  Tokenization splits on (and drops) non-alphanumeric characters with
  regex "\W+".
class_docstr_tok: ["TextEncoder","backed","by","a","list","of","tokens",".","Tokenization","splits","on","(","and","drops",")","non-alphanumeric","characters","with","regex","``","\\W+","''","."]
code: def _filename(cls, filename_prefix):
      return filename_prefix + ".tokens"
  
imports: from __future__ import unicode_literals
  import abc
  import hashlib
  import json
  import re
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
label_desc: Use image node_id 10 for calling the TokenTextEncoder obj's underlying member method code with example usage: obj._filename(cls, filename_prefix) and returns: unknown