{ "version": "0.2.0", "configurations": [ { "name": "(gdb) Launch", "type": "cppdbg", "request": "launch", "program": "${workspaceFolder}/bin/test_kuiper_course", "args": [], "cwd": "${workspaceFolder}", "environment": [], "externalConsole": false, "MIMode": "gdb", ...
"description": "为 gdb 启用整齐打印", "text": "-enable-pretty-printing", "ignoreFailures": true }, { "description": "将反汇编风格设置为 Intel", "text": "-gdb-set disassembly-flavor intel", "ignoreFailures": true } ], // debug程序位置gdb的位置 "miDebuggerPath": "/usr/bin/gdb", ...
"name": "(gdb) 启动", "type": "cppdbg", "request": "launch", "program": "${workspaceFolder}/build/exec", "args": [], "stopAtEntry": false, "cwd": "${workspaceFolder}", "environment": [], "externalConsole": false, "MIMode": "gdb", "setupCommands": [ { "description": "...
linkid=830387"version":"0.2.0","configurations": [ {"name":"(gdb) 启动","type":"cppdbg","request":"launch","program":"${workspaceFolder}/build/bin/observer","args": ["-f","../../etc/observer.ini"],"stopAtEntry":false,"cwd":"${fileDirname}","environment": [],"externalConsol...
如果想使用gdb调试器调试程序的话,则需使用该种方法 第一步 配置编辑器环境 我们按住 ctrl + shift + p 打开命令面板 或者 点击查看 -> 命令面板 配置编译器路径(安装mingw的路劲) 配置c/c++标准 然后关闭这个界面,GDBCode文件夹中多了一个.vscode文件夹,且有一个c_cpp_properties.json ...
"name": "(gdb) Launch", "type": "cppdbg", "request": "launch", "program": "${fileDirname}\\${fileBasenameNoExtension}.exe", "args": [], "stopAtEntry": false, "cwd": "${workspaceRoot}", "environment": [], "externalConsole": true, ...
如果是按的F5的话就选择上面的第一个C++(GDB/LLDB)，再选择gcc.exe，之后就会运行并自动生成对应文件...
在这里面打开bin文件夹,能够看到里面有很多可执行文件,比如gcc.exe,g++.exe,gdb.exe等等,这就是要添加到环境变量中的路径了 右击此电脑,选择属性,右上角有个高级系统设置,打开后选中高级-环境变量-在系统变量中找到Path,双击打开或者点编辑打开,新建-把你自己的上面说的那个bin文件夹的完整路径复制后粘贴进去,确定...
sudo apt-getinstall build-essential gdb sudo apt-getinstall cmake 其中,build-essential包含gcc、g++、make等 第二步:环境验证 gcc--version g++--version cmake--version 第三步:安装扩展插件 新建项目 第一步:创建项目 mkdir-p codespace/test_project ...
{"version":"2.0.0","tasks":[{"label":"python","type":"shell","command":"/home/ml/anaconda3/envs/py36/bin/python",#这个是虚拟环境 conda info--envs 可以看虚拟环境的地址"args":["${file}"],"group":{"kind":"build","isDefault":true},"problemMatcher":["$eslint-compact"]}]} ...