code: def test_generic_mc_objective_deprecated(self):
      for dtype in (torch.float, torch.double):
          with warnings.catch_warnings(
              record=True
          ) as ws, settings.debug(True):
              obj = GenericMCObjective(generic_obj_deprecated)
              warning_msg = (
                  "The `objective` callable of `GenericMCObjective` is expected to "
                  "take two arguments. Passing a callable that expects a single "
                  "argument will result in an error in future versions."
              )
              self.assertTrue(
                  any(
                      issubclass(w.category, DeprecationWarning)
                      for w in ws
                  )
              )
              self.assertTrue(
                  any(warning_msg in str(w.message) for w in ws)
              )
          samples = torch.randn(1, device=self.device, dtype=dtype)
          self.assertTrue(
              torch.equal(obj(samples), generic_obj(samples))
          )
          samples = torch.randn(2, device=self.device, dtype=dtype)
          self.assertTrue(
              torch.equal(obj(samples), generic_obj(samples))
          )
          samples = torch.randn(3, 1, device=self.device, dtype=dtype)
          self.assertTrue(
              torch.equal(obj(samples), generic_obj(samples))
          )
          samples = torch.randn(3, 2, device=self.device, dtype=dtype)
          self.assertTrue(
              torch.equal(obj(samples), generic_obj(samples))
          )
  
imports: import itertools
  import warnings
  from typing import Optional
  import torch
  from botorch import settings
  from botorch.acquisition import LearnedObjective
  from botorch.acquisition.objective import ConstrainedMCObjective, DEFAULT_NUM_PREF_SAMPLES, ExpectationPosteriorTransform, GenericMCObjective, IdentityMCObjective, LEARNED_OBJECTIVE_PREF_MODEL_MIXED_DTYPE_WARN, LinearMCObjective, MCAcquisitionObjective, PosteriorTransform, ScalarizedPosteriorTransform
  from botorch.exceptions.errors import UnsupportedError
  from botorch.exceptions.warnings import _get_single_precision_warning, InputDataWarning
  from botorch.models.deterministic import PosteriorMeanModel
  from botorch.models.pairwise_gp import PairwiseGP
  from botorch.models.transforms.input import Normalize
  from botorch.posteriors import GPyTorchPosterior
  from botorch.utils import apply_constraints
  from botorch.utils.testing import _get_test_posterior, BotorchTestCase
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from linear_operator.operators.dense_linear_operator import to_linear_operator
  from torch import Tensor
label_desc: Use image node_id 2 for calling the TestGenericMCObjective obj's underlying member method code with example usage: obj.test_generic_mc_objective_deprecated() without return types