code: def test_batch_log_prob(self):
      log_px_torch = (
          dist.Delta(self.vs_expanded)
          .log_prob(self.batch_test_data_1)
          .data
      )
      self.assertEqual(log_px_torch.sum().item(), 0)
      log_px_torch = (
          dist.Delta(self.vs_expanded)
          .log_prob(self.batch_test_data_2)
          .data
      )
      self.assertEqual(log_px_torch.sum().item(), float("-inf"))
  
file_path: gpytorch/test/distributions/test_delta.py
imports: import unittest
  import numpy
  import torch
  import gpytorch.distributions
  from gpytorch.test.base_test_case import BaseTestCase
label_desc: Use image node_id 3 for calling the TestDelta obj's underlying member method code with example usage: obj.test_batch_log_prob() without return types