本社区终于可以向 @ChatGPT 提问了！

[nigger]

@ChatGPT jQuery监听选项

[peng111]

@ChatGPT 用相称,郁闷,娱乐,污涩,怂恿,婢女,蜷伏,惩戒,怅然,逗,缕,倚,妄,消耗，忧郁，懒惰，安详，乞丐，预警，叮嘱，悲楚，断语，冤枉，虐待，芙蓉鸟，畏罪潜逃 用上这里所有的字词写一段话

[ChatGPT]

nigger说:

jQuery监听选项

框的点击事件
$("#username_div").click(function () {
$("#username_div").css("border","1px solid #ff6700");
$("#password_div").css("border","1px solid #ccc");
});
$("#password_div").click(function () {
$("#password_div").css("border","1px solid #ff6700");
$("#username_div").css("border","1px solid #ccc");
});
// 2.给登录按钮添加点击事件
$("#login_btn").click(function () {
// 3.获取用户输入的用户名和密码
var username = $("#username").val();
var password = $("#password").val();
// 4.判断用户名和密码是否为空
if(username.trim() == "" || password.trim() == ""){
mui.toast("用户名和密码不能为空");
return;
}
// 5.调用登录接口
$.ajax({
url:"/user/login",
type:"post",
data:{
username:username,
password:password
},
success:function (res) {
console.log(res);
// 6.判断是否登录成功
if(res.error == 403){
mui.toast(res.message);
}
if(res.success){
// 7.登录成功跳转到个人中心页
location.href="user.html";
}
}
})
});
})

3. 后台登录接口

```js
    //1.引入模块
    const express = require("express");
    const router = express.Router();
    const bcrypt = require("bcrypt");
    const User = require("../../models/User");
    //2.创建登录路由
    router.post("/login",(req,res)=>{
    //3.获取用户输入的用户名和密码
    const username = req.body.username;
    const password = req.body.password;
    //4.查询数据库
    User.findOne({username:username})
    .then(user=>{
    if(user){
    //5.比较密码
    bcrypt.compare(password,user.password,(err,isMatch)=>{
    if(isMatch){
    res.json({
    success:true
    })
    }else{
    res.json({
    error:403,
    message:"密码不正确"
    })
    }
    })
    }else{
    res.json({
    error:403,
    message:"用户名不存在"
    })
    }
    })
    });
    //6.导出路由
    module.exports = router;

5.2 个人中心

1. 前端页面

    
    
    
    
    
    用户中心
    
    
    
    
    
    
    
    
    
    
    
    用户中心
    
    
    
    
    
    
    
    昵称
    欢迎您！
    
    
    
    
    
    
    
    
    我的订单
    
    
    
    
    
    
    
    收货地址
    
    
    
    
    
    
    
    联系客服
    
    
    
    
    
    退出登录
    
    
    
    

2. 订单页面

    
    
    
    
    
    我的订单
    
    
    
    
    
    
    
    
    
    
    
    我的订单
    
    
    
    
    
    
    
    全部订单
    
    
    待付款
    
    
    已完成
    
    
    
    
    
    
    
    
    
    删除
    
    
    
    待支付
    
    
    
    
    
    春装新款毛呢外套女
    购买数量：1
    总价：￥199
    
    
    
    支付宝支付
    
    
    
    
    
    
    
    

3. 收货地址页面

    
    
    
    
    
    收货地址

[ChatGPT]

peng111说:

用相称,郁闷,娱乐,污涩,怂恿,婢女,蜷伏,惩戒,怅然,逗,缕,倚,妄,消耗，忧郁，懒惰，安详，乞丐，预警，叮嘱，悲楚，断语，冤枉，虐待，芙蓉鸟，畏罪潜逃 用上这里所有的字词写一段话

： 怅然地，她断语了一句：“我宁愿做一只芙蓉鸟，畏罪潜逃，也不愿我的婢女之身再受到妄想下的消耗和虐待！”他怂恿着她蜷伏在一角，污涩的微笑掩盖不住他的惩戒。她忧郁地望着他，似乎在预警着什么会发生。可他倚在那里，懒惰地娱乐自己，叮嘱着她不要逗他了。她的悲楚令他的心缕缕的痛，但仍一如既往地把她的郁闷归咎于他的乞丐行为。

[游客]

redis性能优化

[peng111]

@ChatGPT python怎么做三列十四行表格

[ChatGPT]

peng111说:

python怎么做三列十四行表格

# -*- coding: UTF-8 -*-

# 导入模块
import pandas as pd

# 使用DataFrame构建三列十四行表格
data = {'A': list(range(1, 15)), 'B': list(range(1, 15)), 'C': list(range(1, 15))}
df = pd.DataFrame(data)

# 输出结果
print(df)

输出结果：
A B C
0 1 1 1
1 2 2 2
2 3 3 3
3 4 4 4
4 5 5 5
5 6 6 6
6 7 7 7
7 8 8 8
8 9 9 9
9 10 10 10
10 11 11 11
11 12 12 12
12 13 13 13
13 14 14 14

[peng111]

@ChatGPT 三相不控整流电路串联电阻RL的作用

[ChatGPT]

peng111说:

三相不控整流电路串联电阻RL的作用

三相不控整流电路串联电阻RL的作用是限制每相的电流流量，避免每相电流过大而发生过流保护，确保电路的稳定运行。

[peng111]

@ChatGPT python怎么做三50列50行表格

[ChatGPT]

peng111说:

python怎么做三50列50行表格

§ Code

#使用Python的模块printtable
from printtable import PrintTable

#定义列标题
col_titles=['col1','col2','col3','col4','col5','col6','col7','col8','col9','col10',
'col11','col12','col13','col14','col15','col16','col17','col18','col19','col20',
'col21','col22','col23','col24','col25','col26','col27','col28','col29','col30',
'col31','col32','col33','col34','col35','col36','col37','col38','col39','col40',
'col41','col42','col43','col44','col45','col46','col47','col48','col49','col50']

#定义表格内容
table_data = [
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50'],
['1','2','3','4','5','6','7','8','9','10',
'11','12','13','14','15','16','17','18','19','20',
'21','22','23','24','25','26','27','28','29','30',
'31','32','33','34','35','36','37','38','39','40',
'41','42','43','44','45','46','47','48','49','50']
]

#创建表格
table = PrintTable(col_titles)

#添加表格内容
table.add_rows(table_data)

#打印表格
table.print_table()

§ Output

stdout : ['+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+----...----+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+\n', 'Total rows: 10\n']

§ END OF DOC

[游客]

个人使用-勿扰

[marlkiller]

@ChatGPT
java 支持携程吗? 请提供一份示例

[ChatGPT]

marlkiller说:

java 支持携程吗? 请提供一份示例

是的，Java 支持使用携程来实现多线程编程。下面是一个简单的 Java 携程示例：

public class MyThread implements Runnable{
public void run(){
System.out.println("MyThread running");
}
public static void main(String args[]){
Thread thread = new Thread(new MyThread());
thread.start();
}
}

[marlkiller]

@ChatGPT
new Thread 是线程还是携程?

[ChatGPT]

marlkiller说:

new Thread 是线程还是携程?

new Thread 是线程

[marlkiller]

@ChatGPT
如果 new Thread 是线程, 那么如何使用 Java 实现携程呢?

[ChatGPT]

marlkiller说:

如果 new Thread 是线程, 那么如何使用 Java 实现携程呢?

Java 并没有提供原生的携程支持，但是可以使用第三方库来实现，比如Quasar框架。Quasar通过使用Java语言支持携程，使用@Co-routine注解可以实现携程。以下是一个简单的例子：

import co.paralleluniverse.fibers.Suspendable;

public class MyCoRoutine {
@Suspendable
public void run() {
System.out.println("Co-routine Started!");
// Do something here
System.out.println("Co-routine Ended!");
}
}

[peng111]

@ChatGPT Python代码生成50行50列的Excel表格

[ChatGPT]

peng111说:

Python代码生成50行50列的Excel表格

import xlwt
wb = xlwt.Workbook() #创建工作簿
ws = wb.add_sheet('sheet1') #创建sheet
for i in range(50):
    for j in range(50):
        ws.write(i,j,i*j) #填充数据
wb.save('50x50.xls') #保存工作簿