code: def setUp(self):
      super().setUp()
      self.prior = DummyPrior()
      self.train_X = torch.rand(
          5, 3, dtype=torch.double, device=self.device
      )
      self.train_Y = self.train_X.norm(dim=-1, keepdim=True)
  
file_path: botorch/test/acquisition/test_prior_guided.py
imports: from itertools import product
  import torch
  from botorch.acquisition.analytic import ExpectedImprovement
  from botorch.acquisition.monte_carlo import qExpectedImprovement
  from botorch.acquisition.prior_guided import PriorGuidedAcquisitionFunction
  from botorch.models import SingleTaskGP
  from botorch.utils.testing import BotorchTestCase
  from botorch.utils.transforms import match_batch_shape
  from torch.nn import Module
label_desc: Use image node_id 1 for calling the TestPriorGuidedAcquisitionFunction obj's underlying member method code with example usage: obj.setUp() without return types