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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 _get_next_trial(self):
 """Replenishes queue. Blocks if all trials queued have finished, but search algorithm is still not finished. """

        trials_done = all(trial.is_finished() for trial in self._trials)
        wait_for_trial = trials_done and not self._search_alg.is_finished()
        self._update_trial_queue(blocking=wait_for_trial)
        with warn_if_slow("choose_trial_to_run"):
            trial = self._scheduler_alg.choose_trial_to_run(self)
        return trial