code: def test_init(self):
      ga_kernel = FITCKernel(
          base_kernel=self.kernel,
          X_inducing=torch.from_numpy(np.empty(2)),
          likelihood=None,
          X_out=None,
          y_out=None,
      )
      self.assertTrue(hasattr(ga_kernel, "X_inducing"))
      self.assertEqual(len(ga_kernel.X_inducing.shape), 2)
      self.assertTrue(
          "X_inducing" in dict(ga_kernel.named_parameters())
      )
      self.assertTrue(self.ga_mean.covar_module is self.ga_kernel)
  
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 2 for calling the TestFITCKernel obj's underlying member method code with example usage: obj.test_init() without return types