class_docstr: Unit tests for random multi-objective optimisation. 
class_docstr_tok: ["Unit","tests","for","random","multi-objective","optimisation","."]
docstr: Instantiate optimiser. 
docstr_tok: ["Instantiate","optimiser","."]
code: def _child_instantiate_optimiser(
      cls, multi_func_caller, worker_manager, options, reporter
  ):
      """Instantiate optimiser."""
      return random_multiobjective_optimiser.CPRandomMultiObjectiveOptimiser(
          multi_func_caller, worker_manager, options, reporter
      )
  
imports: import os
  from ..test_data.multiobjective_hartmann.multiobjective_hartmann import objectives
  from ..test_data.multiobjective_park.multiobjective_park import objectives
  from ..exd.cp_domain_utils import get_raw_point_from_processed_point, load_config_file
  from ..exd.experiment_caller import get_multifunction_caller_from_config
  from ..exd.worker_manager import SyntheticWorkerManager
  from .None import random_multiobjective_optimiser
  from ..utils.base_test_class import BaseTestClass, execute_tests
  from ..utils.reporters import get_reporter
label_desc: Use image node_id 1 for calling the CPRandomMultiObjectiveOptimiserTestCase obj's underlying member method code with example usage: obj._child_instantiate_optimiser(cls, multi_func_caller, worker_manager, options, reporter) and returns: random_multiobjective_optimiser