code: def test_acquisition_function_withGradients(self):
      self.mock_model.predict_withGradients.return_value = (
          [1.0, 2.0, 3.0, 4.0],
          [3.0, 2.0, 3.0, 2.0],
          [0.1, 0.1, 0.1, 0.1],
          [0.2, 0.2, 0.2, 0.2],
      )
  
      (
          weighted_acquisition,
          weighted_gradient,
      ) = self.lcb_mcmc_acquisition.acquisition_function_withGradients(
          np.array([2.0, 2.0])
      )
  
      expected_acquisition = np.array([[-2.5], [-2.5]])
      expected_gradient = np.array([[-0.3, -0.3], [-0.3, -0.3]])
  
      self.assertTrue(
          np.array_equal(expected_acquisition, weighted_acquisition)
      )
      self.assertTrue(
          np.isclose(weighted_gradient, expected_gradient).all()
      )
  
file_path: GPyOpt/GPyOpt/testing/acquisitions_tests/test_lcb_mcmc_acquisition.py
imports: import unittest
  from mock import Mock
  import numpy
  from GPyOpt.acquisitions import AcquisitionLCB_MCMC
  from GPyOpt.core.task.space import Design_space
label_desc: Use image node_id 3 for calling the TestLCBmcmcAcquisition obj's underlying member method code with example usage: obj.test_acquisition_function_withGradients() without return types