class_docstr: The test just checks that the arguments are passed and handled, not that the model
  or the acquisition does the right thing with them.
docstr: Testing the arguments of the standard GP model
docstr_tok: ["Testing","the","arguments","of","the","standard","GP","model"]
code: def test_model_sparse_gp_arguments(self):
      """
      Testing the arguments of the standard GP model
      """
      model_type = "sparseGP"
      exact_feval = True
      created_model = self.arguments_manager.model_creator(
          model_type, exact_feval, self.space
      )
      self.assertTrue(isinstance(created_model, GPModel))
      self.assertEquals(created_model.optimize_restarts, 10)
      self.assertEquals(created_model.num_inducing, 15)
  
imports: import unittest
  import numpy
  from GPyOpt.util.arguments_manager import ArgumentsManager
  from GPyOpt.core.task.space import Design_space
  from GPyOpt.models.gpmodel import GPModel_MCMC, GPModel
  from GPyOpt.models.rfmodel import RFModel
  from GPyOpt.models.input_warped_gpmodel import InputWarpedGPModel
  from GPyOpt.models.warpedgpmodel import WarpedGPModel
  from GPyOpt.core.task.cost import CostModel
  from GPyOpt.acquisitions import AcquisitionEI, AcquisitionLCB
  from GPyOpt.optimization.acquisition_optimizer import AcquisitionOptimizer
  from GPyOpt.core.evaluators import LocalPenalization
label_desc: Use image node_id 3 for calling the TestArgumentsManager obj's underlying member method code with example usage: obj.test_model_sparse_gp_arguments() without return types