code: def setUp(self) -> None:
      rs = np.random.RandomState(1)
      num_dims = 5
      X_in, Y_in, X_out, Y_out, _ = generate_test_data(
          rs, num_dims=num_dims, expand_bound=True
      )
      self.kernel = generate_kernel(num_dims)
      self.num_dims = num_dims
      self.X_in = X_in
      self.Y_in = Y_in
      self.X_out = X_out
      self.Y_out = Y_out
  
      self.X_all = np.vstack([self.X_in, self.X_out])
      self.Y_all = np.hstack([self.Y_in, self.Y_out])
      self.gp_model, self.cs = generate_lgpga(
          self.kernel, n_dimensions=num_dims, rs=rs
      )
  
imports: from typing import Tuple
  import unittest.mock
  import gpytorch
  import numpy
  import pyro
  import torch
  from gpytorch.constraints.constraints import Interval
  from gpytorch.likelihoods.gaussian_likelihood import GaussianLikelihood
  from gpytorch.priors import HorseshoePrior
  from smac.configspace import ConfigurationSpace, UniformFloatHyperparameter
  from smac.model.gaussian_process.augmented_local_gaussian_process import AugmentedLocalGaussianProcess, GloballyAugmentedLocalGaussianProcess
  from smac.model.gaussian_process.gpytorch_gaussian_process import ExactGaussianProcessModel
  from ._test_boing_kernel import generate_kernel, generate_test_data
  from ._test_gp_gpytorch import TestGPGPyTorch
label_desc: Use image node_id 1 for calling the TestLGPGA obj's underlying member method code with example usage: obj.setUp() without return types