code: def get_val_prob(test_X, test_X_exp, af, prior):
      with torch.no_grad():
          val = af(test_X)
          prob = prior(test_X_exp)
  
      return val, prob
  
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 a global function with example usage: get_val_prob(test_X, test_X_exp, af, prior) and returns: val,  prob