优化下列代码提高性能不改变原来逻辑，效果保持一致：def merge_lane(last_lane, next_lane): """ 合并Lane :param last_lane: 前一条lane :param next_lane: 后一条lane :return: 合并后的lane """ lane = copy.deepcopy(last_lane) lane['geometry']['coordinates'].extend(next_lane['geometry']['coordinates']) lane['properties']['collect_num'] = round( (lane['properties']['collect_num'] + next_lane['properties']['collect_num']) / 2) lane['properties']['max_speed'] = round( (lane['properties']['max_speed'] + next_lane['properties']['max_speed']) / 2) lane['properties']['min_speed'] = round( (lane['properties']['min_speed'] + next_lane['properties']['min_speed']) / 2) lane['properties']['lanenode_id_e'] = next_lane['properties']['lanenode_id_e'] return lane

可以尝试使用 in-place 操作来优化代码，避免对对象进行深拷贝。同时，可以使用位运算来代替除法和取整操作，进一步提高性能。优化后的代码如下：

def merge_lane(last_lane, next_lane):
    """
    合并Lane
    :param last_lane: 前一条lane
    :param next_lane: 后一条lane
    :return: 合并后的lane
    """
    lane = last_lane
    lane['geometry']['coordinates'].extend(next_lane['geometry']['coordinates'])
    lane['properties']['collect_num'] = (lane['properties']['collect_num'] + next_lane['properties']['collect_num']) >> 1
    lane['properties']['max_speed'] = (lane['properties']['max_speed'] + next_lane['properties']['max_speed']) >> 1
    lane['properties']['min_speed'] = (lane['properties']['min_speed'] + next_lane['properties']['min_speed']) >> 1
    lane['properties']['lanenode_id_e'] = next_lane['properties']['lanenode_id_e']
    return lane

这样，我们避免了深拷贝对象的开销，同时使用位运算代替除法和取整操作，进一步提高了代码的性能。