class_docstr: Unit tests for Multi-fidelity random optimiser on cartesian product spaces. 
docstr: Run the optimiser from given args. 
docstr_tok: ["Run","the","optimiser","from","given","args","."]
code: def _run_optimiser(
      cls,
      raw_prob_funcs,
      domain_config_file,
      worker_manager,
      max_capital,
      mode,
      *args,
      **kwargs,
  ):
      """Run the optimiser from given args."""
      raw_func, raw_fidel_cost_func = raw_prob_funcs
      config = load_config_file(domain_config_file)
      func_caller = get_multifunction_caller_from_config(
          raw_func, config, raw_fidel_cost_func=raw_fidel_cost_func
      )
      return random_optimiser.mf_random_optimiser_from_func_caller(
          func_caller, worker_manager, max_capital, mode
      )
  
imports: import os
  import unittest
label_desc: Use image node_id 2 for calling the MFCPRandomOptimiserTestCaseDefinitions obj's underlying member method code with example usage: obj._run_optimiser(cls, raw_prob_funcs, domain_config_file, worker_manager, max_capital, mode) and returns: random_optimiser