VSCode下配置python调试运行环境的方法

yipeiwu_com5年前Python基础

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
      • Input
      • Output
      • Input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

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

{
 // 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

相关文章

详解python中executemany和序列的使用方法

详解python中executemany和序列的使用方法 一 代码 import sqlite3 persons=[ ("Jim","Green"), ("Hu","...

Python小进度条显示代码

有的时候程序需要有进度条显示,比如说安装程序、下载文件等场合。 下面有一段小程序可达到效果 程序代码 import time for i in range(0, 101, 2):...

python把数组中的数字每行打印3个并保存在文档中的方法

python把数组中的数字每行打印3个并保存在文档中的方法

如下所示: arrs=[2,15,48,4,5,6,7,6,4,1,2,3,6,6,7,4,6,8] f=open('test.txt','w+') count=0 for temp...

python pdb调试方法分享

复制代码 代码如下:import pdbdef pdb_test(arg):    for i in range(arg):  &nbs...

python numpy中cumsum的用法详解

Cumsum :计算轴向元素累加和,返回由中间结果组成的数组 重点就是返回值是“由中间结果组成的数组” 以下代码在python3.6版本运行成功! 下面看代码,定义一个2*2*3的...