code: def split_network(G, N):
      sc = SpectralClustering(N, affinity="precomputed")
      return sc.fit_predict(nx.adjacency_matrix(G))
  
imports: import random
  import os
  import sys
  import collections
  import itertools
  import pickle
  import scipy.sparse
  import networkx
  import numpy
  from sklearn.cluster import SpectralClustering
  from sklearn import gaussian_process
  from scipy.optimize import minimize
  from bayes_opt import BayesianOptimization
label_desc: Use image node_id 3 for calling a global function with example usage: split_network(G, N) and returns: sc