code: def clean_vec_with_dict(
      dict: DictionaryAgent, vec: torch.LongTensor
  ) -> List[int]:
      """
      Clean the specified vector with the specified dictionary.
  
      See `parlai.agents.rag.retrievers.clean_vec`for a description
      """
      return clean_vec(
          vec,
          dict[dict.end_token],  # type: ignore
          special_toks=[
              dict[dict.null_token],  # type: ignore
              dict[dict.start_token],  # type: ignore
              dict[dict.end_token],  # type: ignore
              dict[dict.unk_token],  # type: ignore
          ],
      )
  
imports: from enum import Enum, auto
  import os
  import string
  import time
  import torch
  import torch.nn
  from typing import List, Tuple, Dict, Optional, Any
  from parlai.agents.rag.retrievers import clean_vec
  from parlai.core.agents import create_agent_from_model_file, create_agent_from_shared
  from parlai.core.build_data import modelzoo_path
  from parlai.core.dict import DictionaryAgent
  from parlai.core.message import Message
  from parlai.core.opt import Opt
  from parlai.core.torch_agent import TorchAgent
  from parlai.tasks.msc.agents import NOPERSONA
  import parlai.utils.logging
label_desc: Use image node_id 2 for calling a global function with example usage: clean_vec_with_dict(dict, vec) and returns: clean_vec