class_docstr: 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, func_caller, worker_manager, options, reporter
  ):
      """Instantiate a specific optimiser."""
      raise NotImplementedError("Implement in a child test class.")
  
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 2 for calling the EuclideanOptimisersBaseTestCase obj's underlying member method code with example usage: obj._child_instantiate_optimiser(cls, func_caller, worker_manager, options, reporter) without return types