if (node.type === 'model' && node.id !== currentNodeKey.value) { return; } if (node.type !== 'model' && !keys?.includes(currentNodeKey.value)) { return; } if (node.type === 'model' && node.id === currentNodeKey.value) { currentNodeKey.value = ''; // 取消选中状态 getTree().setSelectedKeys([]); } if (node.type !== 'model' && keys?.includes(node.id)) { currentNodeKey.value = ''; } 简化代码

可以将这段代码进一步简化，去掉冗余的条件判断和重复的代码：

if (node.type === 'model') {
  if (node.id === currentNodeKey.value) {
    currentNodeKey.value = '';
    getTree().setSelectedKeys([]);
  }
  else {
    return;
  }
}
else {
  if (!keys?.includes(currentNodeKey.value)) {
    return;
  }
  else {
    currentNodeKey.value = '';
  }
}

这样就可以用更简洁的代码实现同样的功能。

相关问题

降低这段代码的重复率：def calTravelCost(route_list,model): timetable_list=[] distance_of_routes=0 time_of_routes=0 obj=0 for route in route_list: timetable=[] vehicle=model.vehicle_dict[route[0]] travel_distance=0 travel_time=0 v_type = route[0] free_speed=vehicle.free_speed fixed_cost=vehicle.fixed_cost variable_cost=vehicle.variable_cost for i in range(len(route)): if i == 0: next_node_id=route[i+1] travel_time_between_nodes=model.distance_matrix[v_type,next_node_id]/free_speed departure=max(0,model.demand_dict[next_node_id].start_time-travel_time_between_nodes) timetable.append((int(departure),int(departure))) elif 1<= i <= len(route)-2: last_node_id=route[i-1] current_node_id=route[i] current_node = model.demand_dict[current_node_id] travel_time_between_nodes=model.distance_matrix[last_node_id,current_node_id]/free_speed arrival=max(timetable[-1][1]+travel_time_between_nodes,current_node.start_time) departure=arrival+current_node.service_time timetable.append((int(arrival),int(departure))) travel_distance += model.distance_matrix[last_node_id, current_node_id] travel_time += model.distance_matrix[last_node_id, current_node_id]/free_speed+\ + max(current_node.start_time - arrival, 0) else: last_node_id = route[i - 1] travel_time_between_nodes = model.distance_matrix[last_node_id,v_type]/free_speed departure = timetable[-1][1]+travel_time_between_nodes timetable.append((int(departure),int(departure))) travel_distance += model.distance_matrix[last_node_id,v_type] travel_time += model.distance_matrix[last_node_id,v_type]/free_speed distance_of_routes+=travel_distance time_of_routes+=travel_time if model.opt_type==0: obj+=fixed_cost+travel_distance*variable_cost else: obj += fixed_cost + travel_time *variable_cost timetable_list.append(timetable) return timetable_list,time_of_routes,distance_of_routes,obj

Here is a possible way to reduce the repetition in the code:

def calTravelCost(route_list, model):
    timetable_list = []
    distance_of_routes = 0
    time_of_routes = 0
    obj = 0

    for route in route_list:
        timetable = []
        vehicle = model.vehicle_dict[route[0]]
        v_type = route[0]
        free_speed = vehicle.free_speed
        fixed_cost = vehicle.fixed_cost
        variable_cost = vehicle.variable_cost

        for i, node_id in enumerate(route):
            if i == 0:
                next_node_id = route[i + 1]
                travel_distance, travel_time, departure = _compute_departure_time(model, v_type, next_node_id, free_speed, 0)
            elif i < len(route) - 1:
                last_node_id = route[i - 1]
                current_node = model.demand_dict[node_id]
                travel_distance, travel_time, arrival, departure = _compute_arrival_and_departure_time(model, last_node_id, current_node, free_speed, timetable[-1][1])
                timetable.append((int(arrival), int(departure)))
            else:
                last_node_id = route[i - 1]
                travel_distance, travel_time, departure = _compute_departure_time(model, last_node_id, v_type, free_speed, timetable[-1][1])
                timetable.append((int(departure), int(departure)))

            distance_of_routes += travel_distance
            time_of_routes += travel_time

        if model.opt_type == 0:
            obj += fixed_cost + distance_of_routes * variable_cost
        else:
            obj += fixed_cost + time_of_routes * variable_cost

        timetable_list.append(timetable)

    return timetable_list, time_of_routes, distance_of_routes, obj

def _compute_departure_time(model, from_node_id, to_node_id, free_speed, arrival_time):
    travel_distance = model.distance_matrix[from_node_id, to_node_id]
    travel_time = travel_distance / free_speed
    departure_time = max(arrival_time, model.demand_dict[to_node_id].start_time - travel_time)
    return travel_distance, travel_time, departure_time

def _compute_arrival_and_departure_time(model, from_node_id, to_node, free_speed, arrival_time):
    travel_distance = model.distance_matrix[from_node_id, to.id]
    travel_time = travel_distance / free_speed
    arrival_time = max(arrival_time + travel_time, to.start_time)
    departure_time = arrival_time + to.service_time
    return travel_distance, travel_time, arrival_time, departure_time

In this refactored code, I extracted two helper functions `_compute_departure_time` and `_compute_arrival_and_departure_time` to avoid duplication of code. I also simplified the loop that iterates over the nodes in each route by using the `enumerate` function to get both the index and the value of each node. Finally, I moved the computation of `distance_of_routes`, `time_of_routes`, and `obj` inside the loop to avoid redundancy.

运用node.js和Vue新建一个vue页面，输入学生信息，使用axios调用后端接口，能在student表中新增一条记录

好的，我可以给出一个简单的示例来实现你的需求。

首先，你需要在后端使用 Node.js 和 Express 框架创建一个 API 接口，来接收前端传递的学生信息，并将其插入到 MySQL 数据库中。以下是一个示例代码：

const express = require('express');
const mysql = require('mysql');

const app = express();
app.use(express.json());
app.use(express.urlencoded({ extended: true }));

const connection = mysql.createConnection({
  host: 'localhost',
  user: 'root',
  password: 'yourpassword',
  database: 'yourdatabase'
});

app.post('/api/add-student', (req, res) => {
  const { student_number, name, college, age, gender } = req.body;
  const sql = 'INSERT INTO student (student_number, name, college, age, gender) VALUES (?, ?, ?, ?, ?)';
  const values = [student_number, name, college, age, gender];
  connection.query(sql, values, (error, results) => {
    if (error) {
      console.error(error);
      res.status(500).json({ message: '新增失败' });
    } else {
      console.log(results);
      res.json({ message: '新增成功' });
    }
  });
});

app.listen(3000, () => {
  console.log('Server is running at http://localhost:3000');
});

在前端，你可以使用 Vue.js 和 Axios 库来创建一个表单，让用户输入学生信息，并将其发送到后端 API 接口中。以下是一个示例代码：

<template>
  <div>
    <h2>新增学生</h2>
    <form @submit.prevent="addStudent">
      <div>
        <label for="student_number">学号：</label>
        <input type="text" id="student_number" v-model="form.student_number" required>
      </div>
      <div>
        <label for="name">姓名：</label>
        <input type="text" id="name" v-model="form.name" required>
      </div>
      <div>
        <label for="college">所在学院：</label>
        <input type="text" id="college" v-model="form.college" required>
      </div>
      <div>
        <label for="age">年龄：</label>
        <input type="number" id="age" v-model.number="form.age" required>
      </div>
      <div>
        <label for="gender">性别：</label>
        <select id="gender" v-model="form.gender" required>
          <option value="男">男</option>
          <option value="女">女</option>
        </select>
      </div>
      <button type="submit">提交</button>
    </form>
  </div>
</template>

<script>
import axios from 'axios';

export default {
  data() {
    return {
      form: {
        student_number: '',
        name: '',
        college: '',
        age: 0,
        gender: '男'
      }
    };
  },
  methods: {
    async addStudent() {
      try {
        const response = await axios.post('/api/add-student', this.form);
        console.log(response.data);
        alert('新增成功！');
        this.form = {
          student_number: '',
          name: '',
          college: '',
          age: 0,
          gender: '男'
        };
      } catch (error) {
        console.error(error);
        alert('新增失败！');
      }
    }
  }
};
</script>

通过以上代码，你可以在前端创建一个表单，让用户输入学生信息，并通过 Axios 库将数据发送到后端 API 接口中。在后端，你可以使用 MySQL 模块将学生信息插入到 MySQL 数据库中。

希望这个示例对你有所帮助。