code: def setUp(self):
      super().setUp()
      torch.random.manual_seed(0)
  
      train_x = torch.rand(10, 1, device=self.device)
      train_y = torch.randn(10, 3, device=self.device)
  
      m2 = KroneckerMultiTaskGP(train_x, train_y)
  
      torch.random.manual_seed(0)
      test_x = torch.rand(2, 5, 1, device=self.device)
  
      posterior0 = m2.posterior(test_x[0])
      posterior1 = m2.posterior(test_x)
      posterior2 = m2.posterior(test_x[0], observation_noise=True)
      posterior3 = m2.posterior(test_x, observation_noise=True)
  
      self.post_list = [
          [m2, test_x[0], posterior0],
          [m2, test_x, posterior1],
          [m2, test_x[0], posterior2],
          [m2, test_x, posterior3],
      ]
  
file_path: botorch/test/posteriors/test_multitask.py
imports: import numpy
  import torch
  from botorch.exceptions.errors import BotorchTensorDimensionError
  from botorch.models.multitask import KroneckerMultiTaskGP
  from botorch.posteriors.multitask import MultitaskGPPosterior
  from botorch.sampling.normal import IIDNormalSampler
  from botorch.utils.testing import BotorchTestCase
label_desc: Use image node_id 1 for calling the TestMultitaskGPPosterior obj's underlying member method code with example usage: obj.setUp() without return types