code: def _test_conditional(self, batch_shape):
      likelihood = self.create_likelihood()
      likelihood.max_plate_nesting += len(batch_shape)
      input = self._create_conditional_input(batch_shape)
      output = likelihood(input)
  
      self.assertTrue(isinstance(output, Distribution))
      self.assertEqual(output.sample().shape, input.shape)
  
file_path: gpytorch/gpytorch/test/base_likelihood_test_case.py
imports: from abc import abstractmethod
  import torch
  from torch.distributions import Distribution
  import gpytorch
  from gpytorch.distributions import MultivariateNormal
  from gpytorch.likelihoods import Likelihood
  from .base_test_case import BaseTestCase
label_desc: Use image node_id 5 for calling the BaseLikelihoodTestCase obj's underlying member method code with example usage: obj._test_conditional(batch_shape) without return types