code: def get_anchors(n):
      """Get a list of NumPy arrays, each of them is an anchor node set"""
      m = int(np.log2(n))
      anchor_set_id = []
      for i in range(m):
          anchor_size = int(n / np.exp2(i + 1))
          for _ in range(m):
              anchor_set_id.append(
                  np.random.choice(n, size=anchor_size, replace=False)
              )
      return anchor_set_id
  
imports: import multiprocessing
  import random
  from multiprocessing import get_context
  import networkx
  import numpy
  import torch
  from tqdm.auto import tqdm
label_desc: Use image node_id 12 for calling a global function with example usage: get_anchors(n) and returns: anchor_set_id