Ubuntu配置clang环境并编译示例程序 操作步骤添加 gpg 秘钥:wget -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add -添加源 vim /etc/apt/sources.list.d/llvm.list# Focal (20.04) LTS deb http://apt.llvm.org/focal/ llvm-toolchain-focal main deb-src http://apt.llvm.org/focal/ llvm-toolchain-focal main更新 apt 包信息: sudo apt update安装 clang、lld 和 libc++:sudo apt install install clang-17 clang-tools-17 clang-17-doc libclang-common-17-dev libclang-17-dev libclang1-17 clang-format-17 python3-clang-17 clangd-17 clang-tidy-17 sudo apt install lld-17 sudo apt install libc++-17-dev libc++abi-17-devLinux 程序编译:clang++ --std=c++17 -o main main.cppWindows 程序(交叉)编译:clang++ --std=c++17 -target x86_64-pc-windows-gnu -mconsole -o main.exe main.cpp示例程序目录结构:. ├── main.cpp └── pocketpy.hmain.cpp内容:#include <iostream> #include "pocketpy.h" using namespace pkpy; using namespace std; int main(int argc, char** argv) { cout << "C++: hello world!" << endl; VM* vm = new VM(true); // Hello world! vm->exec("print('Python: Hello world!')", "main.py", EXEC_MODE); // Create a list vm->exec("a = [1, 2, 3]", "main.py", EXEC_MODE); // Eval the sum of the list PyVar result = vm->exec("sum(a)", "<eval>", EVAL_MODE); std::cout << py_cast<i64>(vm, result) << endl; // 6 pkpy_delete(vm); return 0; }pocketpy.h 来自项目 blueloveTH/pocketpy:PocketPy is a lightweight(~6000 LOC) Python interpreter for game engines.PocketPy是一个轻量级的Python解释器，为嵌入至游戏引擎而设计。参考LLVM Debian/Ubuntu nightly packagesWelcome to PocketPyPocketPy issues | c example #41

windows上docker运行nextcloud 端口映射: 58080 --> 80挂载路径: D:\nextcloud-data --> :/var/www/html环境变量:使用的数据库: SQLITE_DATABASE: nextcloud默认管理员账户: NEXTCLOUD_ADMIN_USER: admin默认管理员密码: NEXTCLOUD_ADMIN_PASSWORD: admin完整命令docker run -d -p 58080:80 -v //d/nextcloud-data:/var/www/html -e SQLITE_DATABASE=nextcloud -e NEXTCLOUD_ADMIN_USER=admin -e NEXTCLOUD_ADMIN_PASSWORD=admin nextcloud:production运行成功后，浏览器打开 http://localhost:58080/ 等待一会儿就会看到如下的页面:<!--参考:https://app.pluralsight.com/library/courses/docker-web-development/table-of-contentshttps://hub.docker.com/_/nextcloud-->

ChatGPT用Python实现一个一元二次方程求解的程序 我: Python实现一个一元二次方程求解的程序ChatGPT: 以下是 Python 实现一元二次方程求解的程序：import math def solve_quadratic_equation(a, b, c): """Solve the quadratic equation ax^2 + bx + c = 0.""" # 计算判别式 discriminant = b**2 - 4*a*c # 根据判别式的正负性分类讨论 if discriminant > 0: # 有两个实根 x1 = (-b + math.sqrt(discriminant)) / (2*a) x2 = (-b - math.sqrt(discriminant)) / (2*a) return x1, x2 elif discriminant == 0: # 有一个实根 x = -b / (2*a) return x else: # 无实根 return None # 测试 # 现有方程: y^2 + 10*y = 144 a = 1 b = 10 c = -144 print(solve_quadratic_equation(a, b, c)) # 输出 (8.0, -18.0)该程序定义了一个名为 solve_quadratic_equation 的函数，接受三个参数：方程的系数 a、b 和 c。函数根据判别式的正负性分类讨论，给出方程的解。最后，程序测试了方程 y^2 + 10y - 144 = 0 的解，并输出结果 (8.0, -18.0)。以下是运行程序验证的结果:

文件检索相关命令行工具 BATA cat(1) clone with wings.特性:语法高亮Git 集成不可打印(non-printable)字符可视化自动分页fzfA command-line fuzzy finderfdA simple, fast and user-friendly alternative to 'find'ripgrep((rg))ripgrep recursively searches directories for a regex pattern while respecting your gitignoreripgrep 常用命令示例:# 查看支持的类型(type)列表 rg --type-list # 添加一个自定义的类型 mmkkdd, 后缀名为 *.md, 排除.git、bin、obj、node_modules文件夹，搜索 babel rg --type-add "mmkkdd:*.md" -g "!**/.git" -g "!**/bin" -g "!**/obj" -g "!**/node_modules" --type mmkkdd -- babel # 添加一个自定义的类型 myscript, 后缀名包含 *.ps1,*.cmd,*.bat, 排除.git、bin、obj、node_modules文件夹，搜索 dotnet rg --type-add "myscript:*.{ps1,cmd,bat}" -g "!**/.git" -g "!**/bin" -g "!**/obj" -g "!**/node_modules" --type myscript -- dotnet注意: 参数用引号包裹时，windows上用双引号 ", 类Unix 上用单引号 '。

PowerShell片段 简单片段查找命令(示例: 包含Module的命令)Get-Command | Out-String -Stream | Select-String -Pattern "Module" -SimpleMatch -CaseSensitive查看帮助(示例: 查看命令Get-InstalledModule的帮助)Get-Help -Name Get-InstalledModule在线查找模块(示例: 搜索模块Pode)Find-Module -Filter Pode信任仓库PSGallery# 查看仓库 Get-PSRepository # 信任仓库 Set-PSRepository -Name 'PSGallery' -InstallationPolicy Trusted安装包(示例: 安装模块Pode)Install-Module -Name Pode -AllowClobber -Force自定义对象(类似于 C# 的 匿名类型)[PSCustomObject]@{ 'Command' = [string]'git' }查看对象成员# 实例化对象 $obj = [PSCustomObject]@{ 'Command' = [string]'git' } # 查看全部对象 $obj | Get-Member # 仅查看属性 $obj | Get-Member -MemberType NoteProperty定义类并使用# 定义类 ClassDemo class ClassDemo { [int]$One [string]$Two ClassDemo() {} ClassDemo([int]$one, [string]$two) { $this.One = $one $this.Two = $two } [string]ToString(){ return ("ClassDemo(One={0},Two={1})" -f $this.One, $this.Two) } } # 3种方式实例化 ClassDemo # 1. 使用 ::new() $object1 = [ClassDemo]::new(1,"2") # 2. 使用 New-Object $object2 = New-Object ClassDemo -Property @{ One = 1; Two = "2" } # 3. 使用类型转换 $object3 = [ClassDemo]@{ One = 1; Two = "2" }功能封装判断命令行命令是否存在function IsCommandExists { <# .SYNOPSIS 判断命令行命令是否存在 .DESCRIPTION 判断命令行命令是否存在 .PARAMETER Command 命令 .EXAMPLE PS> IsCommandExists -Command git .EXAMPLE PS> 'git' | IsCommandExists .EXAMPLE PS> [PSCustomObject]@{ 'Command' = [string]'git' } | IsCommandExists .LINK https://learn.microsoft.com/zh-cn/powershell/module/microsoft.powershell.core/about/about_automatic_variables #> [OutputType([bool])] param( [Parameter(Mandatory=$true, ValueFromPipeline=$True, ValueFromPipelineByPropertyName=$True)] [string] $Command ) Get-Command -ErrorAction SilentlyContinue "$Command" | Out-Null if ($?) { return $True } return $False }外部命令行调用# 命令行调用 pwsh 执行 PowerShell 命令 Get-InstalledModule pwsh -NoLogo -Command "& {Get-InstalledModule}"参考PowerShell 文档The PowerShell Best Practices and Style Guide关于基于注释的帮助Strongly type PS custom object propertiesIncorporating Pipelined Input into PowerShell Functions关于类

nvm替代者——fnm fnm.svg### fnm 介绍(Schniz/fnm)GitHub描述: Fast and simple Node.js version manager, built in Rust自译: Rust实现的，迅捷而简单的Node.js版本管理器。fnm 特性nvm 只支持类 Unix 系统，而 fnm 跨平台支持更好，在 macOS、Windows、Linux 均可使用。可完全替代 nvm， fnm 支持 .node-version 和 .nvmrc 文件。fnm 安装macOS: brew install fnmWindows: scoop install fnm 或 choco install fnmLinux: 在 Releases 页面 下载压缩包，解压后将路径添加到环境变量PATHmacOS 和 Linux 还支持脚本安装: curl -fsSL https://fnm.vercel.app/install | bashfnm 使用fnm help 可查看帮助和详细命令

Ubuntu上nvm和最新版本nodejs(加速)安装 操作-- 下载nvm安装脚本 wget -c -O nvm-install.sh https://ghproxy.com/https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh -- 将nvm-install.sh中的下载链接前添加 https://ghproxy/ 安装nvm bash nvm-install.sh # 重新加载 ~/.bashrc, 使nvm命令可用 source ~/.bashrc # 设置nodejs国内源 export NVM_NODEJS_ORG_MIRROR=https://npmmirror.com/mirrors/node/ # 安装nodejs nvm install --ltsnvm-install.sh修改Diff@@ -59,14 +59,14 @@ nvm_source() { local NVM_SOURCE_URL NVM_SOURCE_URL="$NVM_SOURCE" if [ "_$NVM_METHOD" = "_script-nvm-exec" ]; then - NVM_SOURCE_URL="https://raw.githubusercontent.com/${NVM_GITHUB_REPO}/${NVM_VERSION}/nvm-exec" + NVM_SOURCE_URL="https://ghproxy.com/https://raw.githubusercontent.com/${NVM_GITHUB_REPO}/${NVM_VERSION}/nvm-exec" elif [ "_$NVM_METHOD" = "_script-nvm-bash-completion" ]; then - NVM_SOURCE_URL="https://raw.githubusercontent.com/${NVM_GITHUB_REPO}/${NVM_VERSION}/bash_completion" + NVM_SOURCE_URL="https://ghproxy.com/https://raw.githubusercontent.com/${NVM_GITHUB_REPO}/${NVM_VERSION}/bash_completion" elif [ -z "$NVM_SOURCE_URL" ]; then if [ "_$NVM_METHOD" = "_script" ]; then - NVM_SOURCE_URL="https://raw.githubusercontent.com/${NVM_GITHUB_REPO}/${NVM_VERSION}/nvm.sh" + NVM_SOURCE_URL="https://ghproxy.com/https://raw.githubusercontent.com/${NVM_GITHUB_REPO}/${NVM_VERSION}/nvm.sh" elif [ "_$NVM_METHOD" = "_git" ] || [ -z "$NVM_METHOD" ]; then - NVM_SOURCE_URL="https://github.com/${NVM_GITHUB_REPO}.git" + NVM_SOURCE_URL="https://ghproxy.com/https://github.com/${NVM_GITHUB_REPO}.git" else nvm_echo >&2 "Unexpected value \"$NVM_METHOD\" for \$NVM_METHOD" return 1

虚拟组网工具n2n源码编译记录 操作环境: Ubuntu 20.4 LTS系统需要安装的编译相关的工具sudo apt install gcc g++ make git vim autoconf -y# clone源码(使用 https://ghproxy.com/ 加速) git clone https://ghproxy.com/https://github.com/ntop/n2n.git n2n-src # 编译配置 cd n2n-src/ ./autogen.sh ./configure # 编译 make # 安装 sudo make install

Ubuntu使用minikube搭建K8S环境 操作记录安装docker# 清理旧的docker(如果安装过的话) sudo apt-get remove docker docker-engine docker.io containerd runc # 安装需要的基础软件(一般都已经存在了) sudo apt-get install ca-certificates curl gnupg lsb-release # 添加GPG curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg # 添加apt源 echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null # 更新本地apt源信息 sudo apt-get update # 安装 sudo apt-get install docker-ce docker-ce-cli containerd.io docker-compose-plugin -y # 将当前用户添加到docker组 sudo usermod -aG docker $USER # 登录到docker组 newgrp docker # 验证 docker run hello-world安装 kubectl# 安装 sudo snap install kubectl --classic # 验证 kubectl version --client安装并启动minikube# 下载 wget -c https://ghproxy.com/https://github.com/kubernetes/minikube/releases/download/v1.25.2/minikube_1.25.2-0_amd64.deb # 安装 sudo dpkg -i minikube_1.25.2-0_amd64.deb rm minikube_1.25.2-0_amd64.deb # 设置使用docker作为驱动 minikube config set driver docker # 启动minikube集群 minikube start --driver=docker --image-mirror-country='cn'配置minikube仪表盘(监听127.0.0.1只能本机访问)以supervisor为例, 如果未安装，请用命令sudo apt install supervisor 安装。minikube dashboard 配置sudo vim /etc/supervisor/conf.d/minikube_dashboard.conf/etc/supervisor/conf.d/minikube_dashboard.conf:[program:minikube_dashboard] user=xxx directory=/home/xxx command=/usr/bin/minikube dashboard --url autostart=true autorestart=true startsecs=5 stopsignal=HUP stopasgroup=true stopwaitsecs=5 stdout_logfile_maxbytes=20MB stdout_logfile=/var/log/supervisor/%(program_name)s-out.log stderr_logfile_maxbytes=20MB stderr_logfile=/var/log/supervisor/%(program_name)s-err.logkubectl proxy 配置(开放端口允许外部访问)sudo vim /etc/supervisor/conf.d/kubectl_proxy.confsudo vim /etc/supervisor/conf.d/kubectl_proxy.conf:[program:kubectl_proxy] user=xxx directory=/home/xxx command=/snap/bin/kubectl proxy --port=8090 --address=0.0.0.0 --accept-hosts='.*' autostart=true autorestart=true startsecs=5 stopsignal=HUP stopasgroup=true stopwaitsecs=5 stdout_logfile_maxbytes=20MB stdout_logfile=/var/log/supervisor/%(program_name)s-out.log stderr_logfile_maxbytes=20MB stderr_logfile=/var/log/supervisor/%(program_name)s-err.log启动dashboard# 进入 supervisor sudo supervisorctlsupervisorctl内操作# 应用配置更新 update # 查看minikube dashboard输出 tail -f minikube_dashboardminikube_dashboard输出如下:supervisor> tail -f minikube_dashboard ==> Press Ctrl-C to exit <== - Using image kubernetesui/metrics-scraper:v1.0.7 - Using image kubernetesui/dashboard:v2.3.1 http://127.0.0.1:42213/api/v1/namespaces/kubernetes-dashboard/services/http:kubernetes-dashboard:/proxy/复制url, 将其中的ip换为机器ip(假设为192.168.1.3), 端口换为代理端口(此处为8090), 即可实现外部访问:http://192.168.1.3:8090/api/v1/namespaces/kubernetes-dashboard/services/http:kubernetes-dashboard:/proxy/参考Install Docker Engine on UbuntuMinikube - Kubernetes本地实验环境minikube startdockerGitHub Proxy 代理加速

SSH反向代理的使用 准备工作说明:12.34.56.78 为公网服务器, ssh端口为22192.168.1.2 为内网服务器(未开放访问公网), ssh端口为10022192.168.1.5 为本机, 可访问192.168.1.2和12.34.56.78涉及到的命令# 设置SOCKS5代理 ssh -o StrictHostKeyChecking=no 12.34.56.78 -l user0 -p 22 -D 0.0.0.0:12080 -N -v # 设置反向隧道到代理 ssh -o StrictHostKeyChecking=no 192.168.1.2 -l devops -p 10022 -R 8051:127.0.0.1:12080 -N -v # 本机连接到私域服务器，下面的命令在其上执行 ssh 192.168.1.2 -l devops -p 100221. 修改hosts，绕过DNS解析编辑hosts文件，按需设置: sudo vim /etc/hosts119.84.77.214 mirrors.aliyun.com 140.83.35.89 ghproxy.com 65.52.183.205 packages.microsoft.com2. 安装proxychains获取proxychains源码# 临时设置代理 export ALL_PROXY=socks5://127.0.0.1:8051 # 获取proxychains源码 git clone https://ghproxy.com/https://github.com/rofl0r/proxychains-ng.git proxychains-ng-src # 取消临时代理 unset ALL_PROXYproxychains编译和安装cd proxychains-ng-src/ ./configure make sudo make install sudo make install-config修改proxychains配置添加代理: sudo vim /usr/local/etc/proxychains.conf[ProxyList] socks5 127.0.0.1 80513. 使用示例通过proxychains安装.NET6和Powershellproxychains4 wget -c https://packages.microsoft.com/config/ubuntu/20.04/packages-microsoft-prod.deb -O packages-microsoft-prod.deb sudo proxychains4 apt update # 安装常用和必要软件 sudo proxychains4 apt install -y apt-transport-https software-properties-common w3m tree # 安装 .NET6和pwsh sudo proxychains4 apt install -y dotnet-sdk-6.0 powershell # 验证 dotnet --info pwsh --version运行filebrowserproxychains4 wget -c https://ghproxy.com/https://github.com/filebrowser/filebrowser/releases/download/v2.21.1/linux-amd64-filebrowser.tar.gz tar -zxvf linux-amd64-filebrowser.tar.gz mkdir data-store /home/devops/filebrowser/filebrowser --address "0.0.0.0" --port "2554" --root /home/devops/filebrowser/data-store # 本地代理(本地访问: http://127.0.0.1:2554/) ssh -o StrictHostKeyChecking=no 192.168.1.2 -l devops -p 10022 -L 2554:127.0.0.1:2554 -N -v