code: def test_optimize(self):
      expected_optimum_position = [[0, 0]]
      self.mock_optimizer.optimize.return_value = (
          expected_optimum_position
      )
      es = AcquisitionEntropySearch(
          self.model,
          self.space,
          MockSampler(self.space),
          optimizer=self.mock_optimizer,
      )
  
      optimum_position = es.optimize()
  
      assert optimum_position == expected_optimum_position
  
file_path: GPyOpt/GPyOpt/testing/acquisitions_tests/test_entropy_search_acquisition.py
imports: import unittest
  from mock import Mock
  import numpy
  from numpy.testing import assert_allclose
  import GPy
  from GPyOpt.acquisitions import AcquisitionEntropySearch
  from GPyOpt.core.task.space import Design_space
  from GPyOpt.models import GPModel
  from GPyOpt.util.mcmc_sampler import McmcSampler, AffineInvariantEnsembleSampler
  from GPyOpt.experiment_design import initial_design
label_desc: Use image node_id 3 for calling the TestEntropySearchAcquisition obj's underlying member method code with example usage: obj.test_optimize() without return types