class_docstr: Base class for evaluating methods for optimisation. 
class_docstr_tok: ["Base","class","for","evaluating","methods","for","optimisation","."]
docstr: Returns the intial pool to bootstrap methods in one evaluation. 
docstr_tok: ["Returns","the","intial","pool","to","bootstrap","methods","in","one","evaluation","."]
code: def _get_initial_pool_qinfos(self):
      """Returns the intial pool to bootstrap methods in one evaluation."""
      raise NotImplementedError("Implement in a child class.")
  
imports: from argparse import Namespace
  from datetime import datetime
  import os
  import numpy
  from .blackbox_optimiser import OptInitialiser
  from ..utils.method_evaluator import BaseMethodEvaluator
label_desc: Use image node_id 10 for calling the OptMethodEvaluator obj's underlying member method code with example usage: obj._get_initial_pool_qinfos() without return types