class_docstr: A base test class for all optimisers on Euclidean domains. 
docstr: Testing random optimiser with four asynchronous workers. 
docstr_tok: ["Testing","random","optimiser","with","four","asynchronous","workers","."]
code: def test_optimisation_asynchronous(self):
      """Testing random optimiser with four asynchronous workers."""
      _, _, history = super(
          MFEuclideanOptimisersBaseTestCase, self
      ).test_optimisation_asynchronous()
      mf_history_str = get_multi_fidelity_history_str(history)
      self.report(mf_history_str)
  
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 3 for calling the MFEuclideanOptimisersBaseTestCase obj's underlying member method code with example usage: obj.test_optimisation_asynchronous() without return types