code: def test_lb_moo_max_value_entropy_search_LB2(self):
      self._base_test_lb_moo_max_value_entropy_search(
          estimation_type="LB2"
      )
  
imports: from itertools import product
  from unittest import mock
  import torch
  from botorch.acquisition.max_value_entropy_search import qMaxValueEntropy
  from botorch.acquisition.multi_objective.max_value_entropy_search import qLowerBoundMultiObjectiveMaxValueEntropySearch, qMultiObjectiveMaxValueEntropy
  from botorch.acquisition.multi_objective.utils import compute_sample_box_decomposition
  from botorch.models.gp_regression import SingleTaskGP
  from botorch.models.model_list_gp_regression import ModelListGP
  from botorch.models.transforms.outcome import Standardize
  from botorch.sampling.normal import SobolQMCNormalSampler
  from botorch.utils.testing import BotorchTestCase
label_desc: Use image node_id 4 for calling the TestQLowerBoundMultiObjectiveMaxValueEntropySearch obj's underlying member method code with example usage: obj.test_lb_moo_max_value_entropy_search_LB2() without return types