code: def is_intent_token(cls, token):
      return token.lower().startswith("[in:") or cls.is_ood_token(token)
  
file_path: pytext/pytext/data/decoupled_data.py
imports: from typing import Dict, List, Optional, Type
  from .None import Batcher, Data
  from .data import RowData
  from .sources import DataSource
  from .tensorizers import Tensorizer
  from .utils import Vocabulary
label_desc: Use image node_id 1 for calling the DecoupledUtils obj's underlying member method code with example usage: obj.is_intent_token(cls, token) and returns: unknown