code: def normalize_images(images: List[Image.Image]):
      images = [np.array(image) for image in images]
      images = [image / 127.5 - 1 for image in images]
      return images
  
imports: import os
  from typing import List
  import faiss
  import numpy
  import torch
  from datasets import Dataset, load_dataset
  from PIL import Image
  from transformers import CLIPFeatureExtractor, CLIPModel, PretrainedConfig
  from diffusers import logging
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_images(images) and returns: images