code: def load_faces():
      print("Loading Olivetti face dataset")
      print("-----------------------------")
      from sklearn.datasets import fetch_olivetti_faces
  
      faces = fetch_olivetti_faces(shuffle=True)
      return faces.data
  
imports: import numbers
  import sys
  import warnings
  from time import time
  import matplotlib.pyplot
  import numpy
  import pandas
  from joblib import Memory
  from sklearn.decomposition import NMF
  from sklearn.decomposition._nmf import _beta_divergence, _check_init, _initialize_nmf
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.feature_extraction.text import TfidfVectorizer
  from sklearn.utils import check_array
  from sklearn.utils._testing import ignore_warnings
  from sklearn.utils.extmath import safe_sparse_dot, squared_norm
  from sklearn.utils.validation import check_is_fitted, check_non_negative
label_desc: Use image node_id 8 for calling a global function with example usage: load_faces() and returns: faces