def query(self, *tags, **kwtags):
opts = super(EquilibriumDB, self).query(*tags, **kwtags)
return opt.EquilibriumOptimizer(
opts,
max_use_ratio=config.optdb.max_use_ratio,
ignore_newtrees=self.ignore_newtrees,
failure_callback=opt.NavigatorOptimizer.warn_inplace)
def query(self, *tags, **kwtags):
_opts = super(EquilibriumDB, self).query(*tags, **kwtags)
final_opts = [o for o in _opts if self.__final__.get(o.name, False)]
opts = [o for o in _opts if o not in final_opts]
if len(final_opts) == 0:
final_opts = None
return opt.EquilibriumOptimizer(
opts,
max_use_ratio=config.optdb.max_use_ratio,
ignore_newtrees=self.ignore_newtrees,
failure_callback=opt.NavigatorOptimizer.warn_inplace,
final_optimizers=final_opts)
def query(self, *tags, **kwtags):
_opts = super().query(*tags, **kwtags)
final_opts = [o for o in _opts if self.__final__.get(o.name, False)]
cleanup_opts = [o for o in _opts if self.__cleanup__.get(o.name, False)]
opts = [o for o in _opts if o not in final_opts and o not in cleanup_opts]
if len(final_opts) == 0:
final_opts = None
if len(cleanup_opts) == 0:
cleanup_opts = None
return opt.EquilibriumOptimizer(
opts,
max_use_ratio=config.optdb.max_use_ratio,
ignore_newtrees=self.ignore_newtrees,
tracks_on_change_inputs=self.tracks_on_change_inputs,
failure_callback=opt.NavigatorOptimizer.warn_inplace,
final_optimizers=final_opts,
cleanup_optimizers=cleanup_opts,
)
