class_docstr: Blackbox Optimiser Class. 
class_docstr_tok: ["Blackbox","Optimiser","Class","."]
docstr: Return the curr_opt_val, curr_opt_point and history. 
docstr_tok: ["Return","the","curr_opt_val",",","curr_opt_point","and","history","."]
code: def _get_final_return_quantities(self):
      """Return the curr_opt_val, curr_opt_point and history."""
      return (
          self.curr_pareto_vals,
          self.curr_pareto_points,
          self.history,
      )
  
imports: from __future__ import division
  from argparse import Namespace
  import numpy
  from ..exd.exd_core import ExperimentDesigner, exd_core_args
  from ..exd.experiment_caller import MultiFunctionCaller, FunctionCaller
  from ..exd.exd_utils import EVAL_ERROR_CODE
  from ..utils.general_utils import update_pareto_set
label_desc: Use image node_id 19 for calling the MultiObjectiveOptimiser obj's underlying member method code with example usage: obj._get_final_return_quantities() and returns: self,  self,  self