class_docstr: Unit tests for the Multi-fidelity Euclidean random optimiser. 
docstr: Instantiates a random MF optimiser in Euclidean space. 
docstr_tok: ["Instantiates","a","random","MF","optimiser","in","Euclidean","space","."]
code: def _child_instantiate_optimiser(
      cls, func_caller, worker_manager, options=None, reporter=None
  ):
      """Instantiates a random MF optimiser in Euclidean space."""
      return random_optimiser.MFEuclideanRandomOptimiser(
          func_caller,
          worker_manager,
          options=options,
          reporter=reporter,
      )
  
imports: import numpy
  from ..exd import domains
  from .None import random_optimiser
  from ..exd.experiment_caller import EuclideanFunctionCaller
  from ..exd.worker_manager import SyntheticWorkerManager
  from ..apis.opt import maximise_function, maximise_multifidelity_function
  from ..utils.ancillary_utils import is_nondecreasing, get_list_of_floats_as_str, get_rounded_list
  from ..utils.base_test_class import BaseTestClass, execute_tests
  from ..utils.euclidean_synthetic_functions import get_syn_func_caller, get_mf_cost_function
  from ..utils import reporters
label_desc: Use image node_id 1 for calling the MFEucRandomOptimiserTestCase obj's underlying member method code with example usage: obj._child_instantiate_optimiser(cls, func_caller, worker_manager, options, reporter) and returns: random_optimiser