class_docstr: Blackbox Optimiser Class. 
class_docstr_tok: ["Blackbox","Optimiser","Class","."]
docstr: Handles prev_evaluations. 
docstr_tok: ["Handles","prev_evaluations","."]
code: def _exd_child_handle_prev_evals_in_options(self):
      """Handles prev_evaluations."""
      ret = 0
      for qinfo in self.options.prev_evaluations.qinfos:
          if not hasattr(qinfo, "true_val"):
              qinfo.true_val = -np.inf
          if self.func_caller.is_mf():
              eval_fidel = (
                  qinfo.fidel
                  if hasattr(qinfo, "fidel")
                  else self.func_caller.fidel_to_opt
              )
              self.prev_eval_fidels.append(eval_fidel)
              query_is_at_fidel_to_opt = (
                  self.func_caller.is_fidel_to_opt(eval_fidel)
              )
              self._update_opt_point_and_val(
                  qinfo, query_is_at_fidel_to_opt
              )
          else:
              self._update_opt_point_and_val(qinfo)
          self.prev_eval_points.append(qinfo.point)
          self.prev_eval_vals.append(qinfo.val)
          self.prev_eval_true_vals.append(qinfo.true_val)
          ret += 1
      return ret
  
imports: from __future__ import division
  from argparse import Namespace
  import numpy
  from ..exd.exd_core import ExperimentDesigner, exd_core_args
  from ..utils.option_handler import load_options
label_desc: Use image node_id 13 for calling the BlackboxOptimiser obj's underlying member method code with example usage: obj._exd_child_handle_prev_evals_in_options() and returns: ret