class_docstr: Unit-tests for random multi-objective optimisation. 
class_docstr_tok: ["Unit-tests","for","random","multi-objective","optimisation","."]
docstr: Runs multi-objective optimiser. 
docstr_tok: ["Runs","multi-objective","optimiser","."]
code: def run_optimiser(
      cls,
      multi_func_caller,
      worker_manager,
      max_capital,
      mode,
      *args,
      **kwargs,
  ):
      """Runs multi-objective optimiser."""
      rmoo = random_multiobjective_optimiser
      return rmoo.random_multiobjective_optimisation_from_multi_func_caller(
          multi_func_caller,
          worker_manager,
          max_capital,
          mode,
          *args,
          **kwargs,
      )
  
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 EuclideanRandomMultiObjectiveOptimiserTestCase obj's underlying member method code with example usage: obj.run_optimiser(cls, multi_func_caller, worker_manager, max_capital, mode) and returns: rmoo