code: def make_many_clusters():
      # Compute clusters of 100 examples that probably correspond to some original image
      p = mp.Pool(mp.cpu_count())
      s = p.map(run, range(2000))
      return s
  
file_path: privacy/research/instahide_attack_2020/step_2_color_graph.py
imports: import multiprocessing
  import pickle
  import random
  import collections
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: make_many_clusters() and returns: s