code: def __call__(self, X, Y=None):
      n = self.n
      if Y is None:
          Y = X
      return self.kernels[0](X[:, :n], Y[:, :n]) * self.kernels[1](
          X[:, n:], Y[:, n:]
      )
  
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 2 for calling the K obj's underlying member method code with example usage: obj.__call__(X, Y) and returns: unknown