class_docstr: Used by `Tokenizers` which split a single message into multiple `Token`s.
code: def __repr__(self) -> Text:
      return f"<Token object value='{self.text}' start={self.start} end={self.end} \
          at {hex(id(self))}>"
  
imports: import abc
  import logging
  import re
  from typing import Text, List, Dict, Any, Optional
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
  from rasa.nlu.constants import TOKENS_NAMES, MESSAGE_ATTRIBUTES
  from rasa.shared.nlu.constants import INTENT, INTENT_RESPONSE_KEY, RESPONSE_IDENTIFIER_DELIMITER, ACTION_NAME
  import rasa.shared.utils.io
label_desc: Use image node_id 6 for calling the Token obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str, self, str, hex, str