code: def get_no_fail_decoupled(tokens, filter_ood_slots: bool):
      # this is identical to get_decoupled except it ignores tokens that would otherwise cause a failure
      # this is necessary for IBT because we have noisy train data
      """
      Convert the seqlogical form to the decoupled form
      """
      if not tokens:
          return []
      if filter_ood_slots:
          if DecoupledUtils.is_ood_token(tokens[0]):
              # Out of domain sample
              return [tokens[0], "]"]
  
      decoupled = []
      # stack contains mutable tuples of
      # [index_of_opening_bracket: int, has_children: bool]
      stack = []
      for i, token in enumerate(tokens):
          if DecoupledUtils.is_intent_token(
              token
          ) or DecoupledUtils.is_slot_token(token):
              # everything on stack now has children
              for tup in stack:
                  tup[1] = True
              # add an opening bracket to stack
              stack.append([i, False])
              # add to decoupled form
              decoupled.append(tokens[i])
          elif token == "]":
              # no bracket to end
              if len(stack) == 0:
                  continue
              idx, has_child = stack.pop()
              # don't keep tokens if it is an intent OR it has children
              if has_child or DecoupledUtils.is_intent_token(
                  tokens[idx]
              ):
                  decoupled.append(token)
              else:
                  # leaf level slot: keep all tokens
                  decoupled.extend(tokens[idx + 1 : i + 1])
          else:
              # normal token outside of a bracket
              if len(stack) == 0:
                  continue
      return decoupled
  
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 a global function with example usage: get_no_fail_decoupled(tokens, filter_ood_slots) and returns: decoupled, list, list