code: def test_copy(self):
      # clear all the cache
      self.ga_kernel.train()
      gp_kernel_copy_1 = copy.deepcopy(self.ga_kernel)
      # ga_kernel does not have the cached values thus they should all be empty
      for cache in self.fitc_train_cache.keys():
          self.assertFalse(hasattr(gp_kernel_copy_1, cache))
      for cache in self.fitc_eval_cache.keys():
          self.assertFalse(hasattr(gp_kernel_copy_1, cache))
  
      delazify(self.ga_kernel(self.X_in))
      gp_kernel_copy_2 = copy.deepcopy(self.ga_kernel)
      for cache in self.fitc_train_cache.keys():
          self.assertFalse(hasattr(gp_kernel_copy_2, cache))
      for cache in self.fitc_eval_cache.keys():
          self.assertFalse(hasattr(gp_kernel_copy_2, cache))
  
      self.ga_kernel.eval()
      delazify(self.ga_kernel(self.X_in))
      delazify(self.ga_mean(self.X_in))
  
      gp_kernel_copy_3 = copy.deepcopy(self.ga_kernel)
      for cache, value in self.fitc_eval_cache.items():
          self.assertTrue(hasattr(gp_kernel_copy_3, cache))
      for cache in self.fitc_train_cache:
          self.assertFalse(hasattr(gp_kernel_copy_3, cache))
  
imports: import copy
  import unittest.mock
  import gpytorch
  import numpy
  import torch
  from gpytorch.constraints.constraints import Interval
  from gpytorch.distributions import MultivariateNormal
  from gpytorch.kernels import MaternKernel, ScaleKernel
  from gpytorch.kernels.inducing_point_kernel import InducingPointKernel
  from gpytorch.lazy import LazyEvaluatedKernelTensor, delazify
  from gpytorch.likelihoods import GaussianLikelihood
  from gpytorch.means.zero_mean import ZeroMean
  from gpytorch.models.exact_gp import ExactGP
  from smac.model.gaussian_process.kernels._boing import FITCKernel, FITCMean
  from smac.model.utils import check_subspace_points
label_desc: Use image node_id 5 for calling the TestFITCKernel obj's underlying member method code with example usage: obj.test_copy() without return types