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Markdown Buttons

A collection of SVG buttons for displaying custom "buttons" in Markdown content. You are free to use these buttons wherever you like. All buttons were created in Figma, with (most) icons provided by the Iconify plugin.

The SVG files can be found on this gist. They have been separated in order to reduce the amount of lag when loading this README file.

Deobfuscating / Unminifying Obfuscated Web App / JavaScript Code

云

IaaS指提供系统（可以自己选）或者储存空间之类的硬件，软件要自己手动装；PaaS提供语言环境和框架（可以自己选）；SaaS只能使用开发好的软件（卖软件本身）；BaaS一般类似于非关系数据库，但各家不通用，有时还有一些其它东西。

其他人的集合

https://education.github.com/pack GitHub学生包，需用教育邮箱验证。各种福利，可从DigitalOcean上手
https://github.com/ripienaar/free-for-dev 本文尽量不与此项目重复
https://free.zhelper.net/
https://github.com/AchoArnold/discount-for-student-dev

Javascript request yak shave

I wanted to easily make HTTP requests (both GET & POST) with a simple interface that returns promises.

The popular request & request-promises package are good, but I wanted to figure out how to do it w/out using external dependencies.

The key features are:

the ability to set a timeout
non-200 responses are considered errors that reject the promise.
any errors at the TCP socker/DNS level reject the promise.

Navigating the modes of Vim

This diagram illustrates navigating through Vim’s modes. It was built factoring Vim 9 (i.e., all its modes, including up to two new modes, cr and cvr, in November 2023). Information about the state() and 'showmode' is provided too.

SVG version

Some features are only available in the SVG version. It is not provided directly from within this gist’s files because SVGs do not always play nicely in GitHub (particularly, refusing to display embedded fonts).

The SVG version includes hover text help, which shows pertinent information about the underlying key, command, mode, etc.

This procedure was tested on FreeBSD-CURRENT build from d8819d88af52.

Enable linuxulator and install linux userland:

# sysrc linux_enable="YES"
# service linux start
# pkg install linux_base-c7

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)

	RAR registration data
	WinRAR
	Unlimited Company License
	UID=4b914fb772c8376bf571
	6412212250f5711ad072cf351cfa39e2851192daf8a362681bbb1d
	cd48da1d14d995f0bbf960fce6cb5ffde62890079861be57638717
	7131ced835ed65cc743d9777f2ea71a8e32c7e593cf66794343565
	b41bcf56929486b8bcdac33d50ecf773996052598f1f556defffbd
	982fbe71e93df6b6346c37a3890f3c7edc65d7f5455470d13d1190
	6e6fb824bcf25f155547b5fc41901ad58c0992f570be1cf5608ba9

	//
	// _oo0oo_
	// o8888888o
	// 88" . "88
	// (\| -_- \|)
	// 0\ = /0
	// ___/`---'\___
	// .' \\\| \|// '.
	// / \\\|\|\| : \|\|\|// \
	// / _\|\|\|\|\| -:- \|\|\|\|\|- \

	{
	"printWidth": 100,
	"tabWidth": 2,
	"useTabs": false,
	"semi": true,
	"singleQuote": true,
	"trailingComma": "es5",
	"bracketSpacing": true,
	"jsxBracketSameLine": false,
	"arrowParens": "avoid",