code: def setUp(self):
      if (
          os.getenv("UNLOCK_SEED") is None
          or os.getenv("UNLOCK_SEED").lower() == "false"
      ):
          self.rng_state = torch.get_rng_state()
          torch.manual_seed(0)
          if torch.cuda.is_available():
              torch.cuda.manual_seed_all(0)
          random.seed(0)
  
imports: import os
  import random
  import unittest
  import warnings
  from math import exp, pi
  import torch
  from torch import optim
  import gpytorch
  from gpytorch.distributions import MultivariateNormal
  from gpytorch.kernels import GridInterpolationKernel, RBFKernel, ScaleKernel
  from gpytorch.likelihoods import FixedNoiseGaussianLikelihood
  from gpytorch.means import ConstantMean
  from gpytorch.priors import SmoothedBoxPrior
  from gpytorch.test.utils import least_used_cuda_device
  from gpytorch.utils.warnings import GPInputWarning
label_desc: Use image node_id 1 for calling the TestKISSGPWhiteNoiseRegression obj's underlying member method code with example usage: obj.setUp() without return types