class_docstr: A base test class for all optimisers on Euclidean domains. 
docstr: Runs optimiser. 
docstr_tok: ["Runs","optimiser","."]
code: def run_optimiser(
      cls,
      func_caller,
      worker_manager,
      max_capital,
      mode,
      *args,
      **kwargs,
  ):
      """Runs 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 3 for calling the EuclideanOptimisersBaseTestCase obj's underlying member method code with example usage: obj.run_optimiser(cls, func_caller, worker_manager, max_capital, mode) without return types