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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def on_trial_result(self, trial_runner, trial, result):
 """Callback for early stopping. This stopping rule stops a running trial if the trial's best objective value by step `t` is strictly worse than the median of the running averages of all completed trials' objectives reported up to step `t`. """


        if trial in self._stopped_trials:
            assert not self._hard_stop
            return TrialScheduler.CONTINUE  # fall back to FIFO

        time = result[self._time_attr]
        self._results[trial].append(result)
        median_result = self._get_median_result(time)
        best_result = self._best_result(trial)
        if self._verbose:
            logger.info("Trial {} best res={} vs median res={} at t={}".format(
                trial, best_result, median_result, time))
        if best_result < median_result and time > self._grace_period:
            if self._verbose:
                logger.info("MedianStoppingRule: "
                            "early stopping {}".format(trial))
            self._stopped_trials.add(trial)
            if self._hard_stop:
                return TrialScheduler.STOP
            else:
                return TrialScheduler.PAUSE
        else:
            return TrialScheduler.CONTINUE