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.EuclideanRandomMultiObjectiveOptimiser(
          multi_func_caller, worker_manager, options, reporter
      )
  
file_path: dragonfly/dragonfly/opt/unittest_euclidean_random_multiobjective_optimiser.py
imports: import numpy
  from ..exd.experiment_caller import EuclideanMultiFunctionCaller
  from ..exd.worker_manager import SyntheticWorkerManager
  from .None import random_multiobjective_optimiser
  from ..utils.base_test_class import BaseTestClass, execute_tests
  from ..utils import reporters
label_desc: Use image node_id 1 for calling the EuclideanRandomMultiObjectiveOptimiserTestCase 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