(self, study: "optuna.study.Study", trial: "optuna.trial.FrozenTrial")
Judge whether the trial should be pruned based on the reported values.

        Note that this method is not supposed to be called by library users. Instead,
        :func:`optuna.trial.Trial.report` and :func:`optuna.trial.Trial.should_prune` provide
        user interfaces to implement pruning mechanism in an objective function.

        Args:
            study:
                Study object of the target study.
            trial:
                FrozenTrial object of the target trial.
                Take a copy before modifying this object.

        Returns:
            A boolean value representing whether the trial should be pruned.
Judge whether the trial should be pruned based on the reported values.
Judge whether the trial should be pruned based on the reported values .
def prune(self, study: "optuna.study.Study", trial: "optuna.trial.FrozenTrial") -> bool:
        """Judge whether the trial should be pruned based on the reported values.

        Note that this method is not supposed to be called by library users. Instead,
        :func:`optuna.trial.Trial.report` and :func:`optuna.trial.Trial.should_prune` provide
        user interfaces to implement pruning mechanism in an objective function.

        Args:
            study:
                Study object of the target study.
            trial:
                FrozenTrial object of the target trial.
                Take a copy before modifying this object.

        Returns:
            A boolean value representing whether the trial should be pruned.
        """

        raise NotImplementedError
def prune ( self , study : "optuna.study.Study" , trial : "optuna.trial.FrozenTrial" ) -> bool : raise NotImplementedError