class_docstr: A base test class for all optimisers on Euclidean domains. 
class_docstr_tok: ["A","base","test","class","for","all","optimisers","on","Euclidean","domains","."]
docstr: Instantiate a specific optimiser. 
docstr_tok: ["Instantiate","a","specific","optimiser","."]
code: def _child_instantiate_optimiser(
      cls, multi_func_caller, worker_manager, options, reporter
  ):
      """Instantiate a specific optimiser."""
      raise NotImplementedError("Implement in a child test class.")
  
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 2 for calling the EuclideanMultiObjectiveOptimiserBaseTestCase obj's underlying member method code with example usage: obj._child_instantiate_optimiser(cls, multi_func_caller, worker_manager, options, reporter) without return types