code: def check_not_in(
      list1: List[str], list2: Union[Dict[str, Any], List[str]]
  ) -> bool:
      return not any(el in list2 for el in list1)
  
imports: import importlib
  import logging
  import math
  import os
  import random
  import sys
  from pathlib import Path
  from threading import Thread
  from typing import Any, Dict, List, Optional, Union
  import gradio
  import torch
  import yaml
  from accelerate.commands.config import config_args
  from art import text2art
  from datasets import concatenate_datasets, load_dataset
  from huggingface_hub import HfApi
  from huggingface_hub.utils import LocalTokenNotFoundError
  from transformers import GenerationConfig, TextIteratorStreamer, TextStreamer
  from axolotl.common.cli import TrainerCliArgs, load_model_and_tokenizer
  from axolotl.logging_config import configure_logging
  from axolotl.train import TrainDatasetMeta
  from axolotl.utils.config import normalize_cfg_datasets, normalize_config, validate_config
  from axolotl.utils.data import prepare_dataset
  from axolotl.utils.dict import DictDefault
  from axolotl.utils.distributed import is_main_process
  from axolotl.utils.mlflow_ import setup_mlflow_env_vars
  from axolotl.utils.models import load_tokenizer
  from axolotl.utils.tokenization import check_dataset_labels
  from axolotl.utils.trainer import prepare_optim_env
  from axolotl.utils.wandb_ import setup_wandb_env_vars
label_desc: Use image node_id 7 for calling a global function with example usage: check_not_in(list1, list2) and returns: unknown