class_docstr: A class which optimises using random evaluations. 
class_docstr_tok: ["A","class","which","optimises","using","random","evaluations","."]
docstr: Returns a string describing the method. 
docstr_tok: ["Returns","a","string","describing","the","method","."]
code: def _get_method_str(self):
      """Returns a string describing the method."""
      return "rand"
  
imports: from argparse import Namespace
  import numpy
  from ..exd.cp_domain_utils import get_processed_func_from_raw_func_for_cp_domain, load_cp_domain_from_config_file
  from ..exd import domains
  from ..exd.exd_utils import get_euclidean_initial_qinfos, get_cp_domain_initial_qinfos
  from ..exd.exd_core import mf_exd_args
  from ..exd.experiment_caller import CPFunctionCaller
  from ..exd.cp_domain_utils import sample_from_cp_domain
  from ..exd.worker_manager import SyntheticWorkerManager
  from .blackbox_optimiser import BlackboxOptimiser, blackbox_opt_args, CalledMFOptimiserWithSFCaller
  from ..utils.option_handler import load_options
  from ..utils.reporters import get_reporter
  from ..utils.general_utils import map_to_bounds
label_desc: Use image node_id 3 for calling the RandomOptimiser obj's underlying member method code with example usage: obj._get_method_str() and returns: str