code: def test_acquisition_function_withGradients(self):
      self.mock_model.predict_withGradients.return_value = (
          1,
          3,
          0.1,
          0.2,
      )
      self.mock_model.get_fmin.return_value = 0.1
  
      (
          weighted_acquisition,
          weighted_gradient,
      ) = self.mpi_acquisition.acquisition_function_withGradients(
          np.array([2, 2])
      )
  
      self.assertTrue(
          np.isclose(
              weighted_acquisition,
              np.array([[-0.38081792], [-0.38081792]]),
          ).all()
      )
      self.assertTrue(
          np.isclose(
              weighted_gradient,
              np.array(
                  [[0.00499539, 0.00499539], [0.00499539, 0.00499539]]
              ),
          ).all()
      )
  
file_path: GPyOpt/GPyOpt/testing/acquisitions_tests/test_mpi_acquisition.py
imports: import unittest
  from mock import Mock
  import numpy
  from GPyOpt.acquisitions import AcquisitionMPI
  from GPyOpt.core.task.space import Design_space
label_desc: Use image node_id 3 for calling the TestMPIAcquisition obj's underlying member method code with example usage: obj.test_acquisition_function_withGradients() without return types