code: def test_gpmodel_predict_covariance(self):
      config = [
          {
              "name": "var_1",
              "type": "continuous",
              "domain": (-1, 1),
              "dimensionality": 1,
          },
          {
              "name": "var_2",
              "type": "continuous",
              "domain": (-1, 1),
              "dimensionality": 1,
          },
      ]
      space = Design_space(config)
      model = GPModel(space)
      mock_mean = np.array([[2.0], [-2.0]])
      mock_variance = np.array([[4.0, 3.0], [4.5, 9.0]])
      model.model = Mock()
      model.model.predict.return_value = (mock_mean, mock_variance)
  
      v = model.predict_covariance(np.ones((2, 2)))
  
      assert_allclose(v, mock_variance, atol=1e-5)
  
file_path: GPyOpt/GPyOpt/testing/core_tests/test_model.py
imports: import numpy
  import unittest
  from mock import Mock
  from numpy.testing import assert_allclose
  from GPyOpt.models.gpmodel import GPModel
  from GPyOpt.models.input_warped_gpmodel import InputWarpedGPModel
  from GPyOpt.core.task.space import Design_space
label_desc: Use image node_id 2 for calling the TestModels obj's underlying member method code with example usage: obj.test_gpmodel_predict_covariance() without return types