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Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。Docker 官方和国内很多云服务商都提供了国内加速器服务。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

配置加速地址

Ubuntu 16.04+、Debian 8+、CentOS 7+

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.

General rules

Follow standard conventions.
Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
Boy scout rule. Leave the campground cleaner than you found it.
Always find root cause. Always look for the root cause of a problem.

Design rules

`vs` Questions

http://stackoverflow.com/questions/804115 (rebase vs merge).
https://www.atlassian.com/git/tutorials/merging-vs-rebasing (rebase vs merge)
https://www.atlassian.com/git/tutorials/undoing-changes/ (reset vs checkout vs revert)
http://stackoverflow.com/questions/2221658 (HEAD^ vs HEAD~) (See git rev-parse)
http://stackoverflow.com/questions/292357 (pull vs fetch)
http://stackoverflow.com/questions/39651 (stash vs branch)
http://stackoverflow.com/questions/8358035 (reset vs checkout vs revert)

How to use clangd C/C++ LSP in any project

tl;dr: If you want to just know the method, skip to How to section

Clangd is a state-of-the-art C/C++ LSP that can be used in every popular text editors like Neovim, Emacs or VS Code. Even CLion uses clangd under the hood. Unfortunately, clangd requires compile_commands.json to work, and the only way to painlessly generate it is to use CMake.

But what if I tell you you can quickly hack your way around that, and generate compile_commands.json for any project, no matter how compilcated? I have used that way at work for years, originaly because I used CLion which supported only CMake projects - but now I use that method succesfully with clangd and Neovim.

Method summary

Basically what we need to achieve is to create a CMake file that will generate a compile_commands.json file with information about:

	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check

	from pytube import YouTube

	def download_Video(yt):
	# filter mp4 streams from object
	my_streams = yt.streams.filter(file_extension='mp4',only_video=True)
	for streams in my_streams:
	# print itag, resolution and codec format of Mp4 streams
	print(f"Video itag : {streams.itag} Resolution : {streams.resolution} VCodec : {streams.codecs[0]}")

	var Fn = {
	// Valida el rut con su cadena completa "XXXXXXXX-X"
	validaRut : function (rutCompleto) {
	if (!/^[0-9]+[-\|‐]{1}[0-9kK]{1}$/.test( rutCompleto ))
	return false;
	var tmp = rutCompleto.split('-');
	var digv = tmp[1];
	var rut = tmp[0];
	if ( digv == 'K' ) digv = 'k' ;
	return (Fn.dv(rut) == digv );

	#!/bin/sh
	#
	# Setup a work space called `work` with two windows
	# first window has 3 panes.
	# The first pane set at 65%, split horizontally, set to api root and running vim
	# pane 2 is split at 25% and running redis-server
	# pane 3 is set to api root and bash prompt.
	# note: `api` aliased to `cd ~/path/to/work`
	#
	session="work"

	<?php

	add_filter( 'woocommerce_product_export_delimiter', function ( $delimiter ) {

	// set your custom delimiter
	$delimiter = '.';

	return $delimiter;
	} );

	#if UNITY_EDITOR
	using System.Collections;
	using System.Collections.Generic;
	using UnityEngine;
	using UnityEngine.UIElements;
	using UnityEditor;
	using UnityEditor.UIElements;

	// Based on: https://forum.unity.com/threads/save-rendertexture-or-texture2d-as-image-file-utility.1325130/
	public class TriangleTexturePluginWindow : EditorWindow