全反选计算价格 总数

购物车价格计算与事件处理
本文介绍了一个购物车应用中价格计算逻辑及事件订阅处理流程。通过监听不同类型的事件来更新商品数量、检查状态,并实时计算总价和商品总数。
@Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);
        //在需要接受事件的类中进行注册
        EventBus.getDefault().register(this);
        xrecy_view = findViewById(R.id.xrecy_view);
        checkall = findViewById(R.id.checkall);
        zongjia = findViewById(R.id.zongjia);
        shuliang = findViewById(R.id.shuliang);
        presenter = new Presenter();
        presenter.Attach(MainActivity.this);
        presenter.getPresData();
        checkall.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {
            @Override
            public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {
                CheckOrNot(isChecked);
            }


        });

    }
    @Override
    public void getView(Object data) {
        shopBean = (ShopBean) data;
         xrecy_view.setLayoutManager(new LinearLayoutManager(this));
        shopCarAdapter = new ShopCarAdapter(shopBean, this);
        xrecy_view.setAdapter(shopCarAdapter);
        shopCarAdapter.notifyDataSetChanged();
    }
    private void CheckOrNot(boolean isChecked) {

        List<ShopBean.DataBean> data = shopBean.getData();
        for (int i = 0; i < data.size(); i++) {
            ShopBean.DataBean dataBean = data.get(i);
            dataBean.setChecked(isChecked);
            List<ShopBean.DataBean.SpusBean> spus = dataBean.getSpus();
            for (int j = 0; j <spus.size() ; j++) {
                ShopBean.DataBean.SpusBean spusBean = spus.get(j);
                spusBean.setChecked(isChecked);
            }
        }
        shopCarAdapter.notifyDataSetChanged();
        caculatePrice();

    }
    private void caculatePrice(){
        List<ShopBean.DataBean> data = shopBean.getData();
        int total=0;
        int totalCount=0;
        for (int i = 0; i <data.size() ; i++) {
            ShopBean.DataBean dataBean = data.get(i);
            List<ShopBean.DataBean.SpusBean> spus = dataBean.getSpus();
            for (int j = 0; j < spus.size(); j++) {
                ShopBean.DataBean.SpusBean spusBean = spus.get(j);
                if (spusBean.isChecked()){
                    int price = spusBean.getId();
                    int praise_num = spusBean.getPraise_num();
                   total+= price*praise_num;
                   totalCount+=praise_num;
                }
            }
        }
       zongjia.setText("总价:"+total);
        shuliang.setText("总数"+totalCount);
    }
    @Subscribe
public void onCaculeaEvent(CaculateEvent event){
    int parentPostion = event.getParentPostion();
    int selfPostion = event.getSelfPostion();
    List<ShopBean.DataBean> data = shopBean.getData();
    if (parentPostion!=-1){
        ShopBean.DataBean dataBean = data.get(parentPostion);
        List<ShopBean.DataBean.SpusBean> spus = dataBean.getSpus();
        if (selfPostion!=-1){
            ShopBean.DataBean.SpusBean spusBean = spus.get(selfPostion);
            spusBean.setPraise_num(event.getNewNub());
            if (spusBean.isChecked()){
                caculatePrice();
            }
        }
    }
}
@Subscribe
public void onGroupEvent(GroupEvent event){
    int groupPostion = event.getGroupPostion();
    List<ShopBean.DataBean> data = shopBean.getData();
    ShopBean.DataBean dataBean = data.get(groupPostion);
    dataBean.setChecked(event.isChecked());
    List<ShopBean.DataBean.SpusBean> spus = dataBean.getSpus();
    for (int i = 0; i < spus.size(); i++) {
        ShopBean.DataBean.SpusBean spusBean = spus.get(i);
        spusBean.setChecked(event.isChecked());
    }
shopCarAdapter.notifyDataSetChanged();
    caculatePrice();
}
@Subscribe
    public void onSingleEvent(SingleEvent event){
        List<ShopBean.DataBean> data = shopBean.getData();
        ShopBean.DataBean dataBean = data.get(event.getParentPosition());
        List<ShopBean.DataBean.SpusBean> spus = dataBean.getSpus();
        ShopBean.DataBean.SpusBean spusBean = spus.get(event.getSelfPosition());
        spusBean.setChecked(event.isChecked());
        shopCarAdapter.notifyDataSetChanged();
        caculatePrice();
    }
    @Override
    protected void onDestroy() {
        super.onDestroy();
        EventBus.getDefault().unregister(this);
    }
}
内容概要:本文介绍了一个基于MATLAB实现的无人机三维路径规划项目,采用蚁群算法(ACO)与多层感知机(MLP)相结合的混合模型(ACO-MLP)。该模型通过三维环境离散化建模,利用ACO进行全局路径搜索,并引入MLP对环境特征进行自适应学习与启发因子优化,实现路径的动态调整与多目标优化。项目解决了高维空间建模、动态障碍规避、局部最优陷阱、算法实时性及多目标权衡等关键技术难题,结合并行计算与参数自适应机制,提升了路径规划的智能性、安全性和工程适用性。文中提供了详细的模型架构、核心算法流程及MATLAB代码示例,涵盖空间建模、信息素更新、MLP训练与融合优化等关键步骤。; 适合人群:具备一定MATLAB编程基础,熟悉智能优化算法与神经网络的高校学生、科研人员及从事无人机路径规划相关工作的工程师;适合从事智能无人系统、自动驾驶、机器人导航等领域的研究人员; 使用场景及目标:①应用于复杂三维环境下的无人机路径规划,如城市物流、灾害救援、军事侦察等场景;②实现飞行安全、能耗优化、路径平滑与实时避障等多目标协同优化;③为智能无人系统的自主决策与环境适应能力提供算法支持; 阅读建议:此资源结合理论模型与MATLAB实践,建议读者在理解ACO与MLP基本原理的基础上,结合代码示例进行仿真调试,重点关注ACO-MLP融合机制、多目标优化函数设计及参数自适应策略的实现,以深入掌握混合智能算法在工程中的应用方法。
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