code: def _sample_forward(self, X):
      pass
  
imports: import warnings
  from copy import deepcopy
  from functools import partial
  from itertools import product
  from math import pi
  from unittest import mock
  import torch
  from botorch import settings
  from botorch.acquisition.monte_carlo import MCAcquisitionFunction, qExpectedImprovement, qNoisyExpectedImprovement, qProbabilityOfImprovement, qSimpleRegret, qUpperConfidenceBound, SampleReducingMCAcquisitionFunction
  from botorch.acquisition.objective import ConstrainedMCObjective, GenericMCObjective, IdentityMCObjective, ScalarizedPosteriorTransform
  from botorch.acquisition.utils import prune_inferior_points
  from botorch.exceptions import BotorchWarning, UnsupportedError
  from botorch.models import SingleTaskGP
  from botorch.sampling.normal import IIDNormalSampler, SobolQMCNormalSampler
  from botorch.utils.low_rank import sample_cached_cholesky
  from botorch.utils.test_helpers import DummyNonScalarizingPosteriorTransform
  from botorch.utils.testing import BotorchTestCase, MockModel, MockPosterior
  from botorch.utils.transforms import standardize
  from torch import Tensor
label_desc: Use image node_id 1 for calling the DummyReducingMCAcquisitionFunction obj's underlying member method code with example usage: obj._sample_forward(X) without return types