class_docstr: AbstractEnsembleSolver base class for mystic optimizers that are called within
  a parallel map.  This allows pseudo-global coverage of parameter space using
  non-global optimizers.
      
class_docstr_tok: ["AbstractEnsembleSolver","base","class","for","mystic","optimizers","that","are","called","within","a","parallel","map",".","This","allows","pseudo-global","coverage","of","parameter","space","using","non-global","optimizers","."]
docstr: get bestEnergy from all solvers
docstr_tok: ["get","bestEnergy","from","all","solvers"]
code: def __all_bestEnergy(self):  # XXX: default = None?
      """get bestEnergy from all solvers"""
      return [getattr(i, "bestEnergy", None) for i in self._allSolvers]
  
imports: from mystic.monitors import Null
  from mystic.abstract_map_solver import AbstractMapSolver
  from mystic.tools import wrap_function
  from functools import reduce
label_desc: Use image node_id 4 for calling the AbstractEnsembleSolver obj's underlying member method code with example usage: obj.__all_bestEnergy() and returns: unknown