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目录

VSCode配置python调试环境 1.下载python解释器2.在VSCode市场中安装Python插件4.在用户设置里加两条5.接下来是正式的调试了1080 两个数的平方和 InputOutputInput示例Output示例

VSCode配置python调试环境

很久之前的一个东东，翻出来看看

VSCode配置python调试环境

* 1.下载python解释器

* 2.在VSCode市场中安装Python插件

* 4.在用户设置里加两条

* 5.接下来是正式的调试了 1080 两个数的平方和 InputOutputInput示例Output示例

1.下载python解释器

python 3.6.3 for windows

安装到系统某个路径例如C:\Python36

最好添加到Path，也可以不加

2.在VSCode市场中安装Python插件

3.同样是打开一个文件夹，新建一个.py文件

4.同样是launch.json文件和tasks.json文件

\[launch.josn\]

{// 使用 IntelliSense 了解相关属性。 // 悬停以查看现有属性的描述。// 欲了解更多信息，请访问: /fwlink/?linkid=830387"version": "0.2.0","configurations": [{"name": "Python","type": "python","request": "launch","stopOnEntry": false,//是否在第一条语句时程序停止，下面的这个选项都一样"pythonPath": "C:/Python34/python",//可执行文件路径"program": "${file}","cwd": "${workspaceRoot}","env": {},"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit","RedirectOutput"]},{"name": "PySpark","type": "python","request": "launch","stopOnEntry": true,"osx": {"pythonPath": "${env:SPARK_HOME}/bin/spark-submit"},"windows": {"pythonPath": "${env:SPARK_HOME}/bin/spark-submit.cmd"},"linux": {"pythonPath": "${env:SPARK_HOME}/bin/spark-submit"},"program": "${file}","cwd": "${workspaceRoot}","env": {},"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit","RedirectOutput"]},{"name": "Python Module","type": "python","request": "launch","stopOnEntry": false,"pythonPath": "${config:python.pythonPath}","module": "module.name","cwd": "${workspaceRoot}","env": {},"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit","RedirectOutput"]},{"name": "Integrated Terminal/Console","type": "python","request": "launch","stopOnEntry": false,"pythonPath": "${config:python.pythonPath}","program": "${file}","cwd": "","console": "integratedTerminal","env": {},"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit"]},{"name": "External Terminal/Console","type": "python","request": "launch","stopOnEntry": false,"pythonPath": "${config:python.pythonPath}","program": "${file}","cwd": "","console": "externalTerminal","env": {},"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit"]},{"name": "Django","type": "python","request": "launch","stopOnEntry": false,"pythonPath": "${config:python.pythonPath}","program": "${workspaceRoot}/manage.py","cwd": "${workspaceRoot}","args": ["runserver","--noreload","--nothreading"],"env": {},"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit","RedirectOutput","DjangoDebugging"]},{"name": "Flask","type": "python","request": "launch","stopOnEntry": false,"pythonPath": "${config:python.pythonPath}","program": "fully qualified path fo 'flask' executable. Generally located along with python interpreter","cwd": "${workspaceRoot}","env": {"FLASK_APP": "${workspaceRoot}/quickstart/app.py"},"args": ["run","--no-debugger","--no-reload"],"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit","RedirectOutput"]},{"name": "Flask (old)","type": "python","request": "launch","stopOnEntry": false,"pythonPath": "${config:python.pythonPath}","program": "${workspaceRoot}/run.py","cwd": "${workspaceRoot}","args": [],"env": {},"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit","RedirectOutput"]},{"name": "Pyramid","type": "python","request": "launch","stopOnEntry": true,"pythonPath": "${config:python.pythonPath}","cwd": "${workspaceRoot}","env": {},"envFile": "${workspaceRoot}/.env","args": ["${workspaceRoot}/development.ini"],"debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit","RedirectOutput","Pyramid"]},{"name": "Watson","type": "python","request": "launch","stopOnEntry": true,"pythonPath": "${config:python.pythonPath}","program": "${workspaceRoot}/console.py","cwd": "${workspaceRoot}","args": ["dev","runserver","--noreload=True"],"env": {},"envFile": "${workspaceRoot}/.env","debugOptions": ["WaitOnAbnormalExit","WaitOnNormalExit","RedirectOutput"]},{"name": "Attach (Remote Debug)","type": "python","request": "attach","localRoot": "${workspaceRoot}","remoteRoot": "${workspaceRoot}","port": 3000,"secret": "my_secret","host": "localhost"}]}

\[tasks.json\]

{// See /fwlink/?LinkId=733558// for the documentation about the tasks.json format"version": "2.0.0","tasks": [{"taskName": "echo","type": "shell","command": "C:\\Python34\\python",//Python可执行文件路径"args": ["${file}"]}]}

4.在用户设置里加两条

\[settings.json\]

"python.pythonPath": "C:\\Python34\\python" ,//路径"python.linting.enabled": false,//忘了是什么东西了，反正有用

5.接下来是正式的调试了

默认是Python选项

按\(<F5>\)启动调试

然后在

中有一些东西就是这样

但是这个默认的\(python\)选项并不能由用户输入

所以有

这个和下面的那个都可以

这个Intergrated……的选项是下图的东东

其实这个可以直接

直接当成cmd来用同样可以由用户输入

然后那个External……的选项只不过是开了一个控制台窗口

2333……

剩下的可以自己试试

说不定有惊喜

翻出很久之前做的一道题目

用py3写的

刚刚一直在用的test.py就是用的这道题的代码

1080 两个数的平方和

基准时间限制：1 秒 空间限制：131072 KB 分值: 5

给出一个整数N，将N表示为2个整数i j的平方和（i <= j)，如果有多种表示，按照i的递增序输出。

例如：\[N = 130,130 = 3^2 + 11^2 = 7^2 + 9^2\] （注：3 11同11 3算1种）

Input

一个数N(\(1 \leq N \leq 10^9\))

Output

共K行：每行2个数，i j，表示\(N=i^2+j^2(0\leq i \leq j)\)。

如果无法分解为2个数的平方和，则输出\(No Solution\)

Input示例

130

Output示例

3 11

7 9

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