code: def rescale_pixel_values(images, order="C"):
      """
      Rescale the range of values in images to be between [0, 1]
      """
      images = np.asarray(images, order=order).astype("float32")
      images -= images.min()
      images /= images.max()
      return images
  
imports: from os import mkdir
  from os.path import exists, join
  from collections import defaultdict
  import pylab
  from sklearn.datasets import fetch_lfw_people
  from sklearn.impute import IterativeImputer
  import numpy
  from fancyimpute import SimpleFill, IterativeSVD, SoftImpute, BiScaler, KNN
  from fancyimpute.common import masked_mae, masked_mse
label_desc: Use image node_id 2 for calling a global function with example usage: rescale_pixel_values(images, order) and returns: images