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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_recent_state(self, current_observation):
 """Return list of last observations # Argument current_observation (object):
 Last observation # Returns A list of the last observations """

        # This code is slightly complicated by the fact that subsequent observations might be
        # from different episodes. We ensure that an experience never spans multiple episodes.
        # This is probably not that important in practice but it seems cleaner.
        state = [current_observation]
        idx = len(self.recent_observations) - 1
        for offset in range(0, self.window_length - 1):
            current_idx = idx - offset
            current_terminal = self.recent_terminals[current_idx - 1] if current_idx - 1 >= 0 else False
            if current_idx < 0 or (not self.ignore_episode_boundaries and current_terminal):
                # The previously handled observation was terminal, don't add the current one.
                # Otherwise we would leak into a different episode.
                break
            state.insert(0, self.recent_observations[current_idx])
        while len(state) < self.window_length:
            state.insert(0, zeroed_observation(state[0]))
        return state