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vscode配置python调试环境
很久之前的一个东东，翻出来看看
1.下载python解释器
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（这样容易识别项目，vscode就需要新建一个文件夹）
4.同样是launch.json文件和tasks.json文件
launch.josn
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{
// 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: https://go.microsoft.com/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 https://go.microsoft.com/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
linting (prospector, pylint, pycodestyle, flake8, pylama, pydocstyle, mypy with config files and plugin
静态代码扫描（可以理解为代码语法和格式错误提示，支持多种linter）
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：
（注：3 11同11 3算1种）
input
一个数n()
output
共k行：每行2个数，i j，表示。
如果无法分解为2个数的平方和，则输出
input示例
130
output示例
3 11
7 9
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