Maurizio Del Corno druzn3k

Arel Cheatsheet on Steroids

A (more) complete cheatsheet for Arel, including NamedFunction functions, raw SQL and window functions.

Tables

posts = Arel::Table.new(:posts)
posts = Post.arel_table # ActiveRecord

Table alias

A half-hour to learn Zig

This is inspired by https://fasterthanli.me/blog/2020/a-half-hour-to-learn-rust/

Basics

the command zig run my_code.zig will compile and immediately run your Zig program. Each of these cells contains a zig program that you can try to run (some of them contain compile-time errors that you can comment out to play with)

Generative SVG Noise Pattern Maker 🎨

I'm a huge fan of these kinds of noisy grid patterns, and I wanted to add some to my in-progress site. Rather than tinkering away in Figma, I thought I would make a little generator. I hope some other folks find it useful!

A Pen by George Francis on CodePen.

License.

Stimulus cheatsheet

Website: https://stimulusjs.org/
GitHub repo: https://github.com/stimulusjs/stimulus
Handbook: https://stimulusjs.org/handbook/introduction
Discourse: https://discourse.stimulusjs.org/

Lifecycle callbacks

initialize: once, when the controller is first instantiated
connect: anytime the controller is connected to the DOM

	ruby '2.7.1'

	gem 'rails', github: 'rails/rails'
	gem 'tzinfo-data', '>= 1.2016.7' # Don't rely on OSX/Linux timezone data

	# Action Text
	gem 'actiontext', github: 'basecamp/actiontext', ref: 'okra'
	gem 'okra', github: 'basecamp/okra'

	# Drivers

	SAN_CMP := -fno-omit-frame-pointer -fsanitize=address
	SAN_STAT := -static-libstdc++ -static-libasan

	BIN_CMP := -std=c++11 -c -I. main.cpp -O -g3 -o main.o
	LIB_CMP := -std=c++11 my.cpp -o libmy.so -shared -fPIC -g3

	RUN := LD_LIBRARY_PATH=. ASAN_OPTIONS=symbolize=1 ASAN_SYMBOLIZER_PATH=$(shell which llvm-symbolizer)
	PRELOAD := LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libasan.so.1

	lib-gcc:

	import tensorflow as tf #We need tensorflow 2.x
	import numpy as np

	#The hashlength in bits
	hashLength = 256

	def buildModel():
	#we can set the seed to simulate the fact that this network is known and doesn't change between runs
	#tf.random.set_seed(42)
	model = tf.keras.Sequential()

	#!/bin/sh

	prog_name=${0##*/}
	version=1.0
	version_text="Boilerplate for new scripts v$version"
	options="h o: q v V"
	help_text="Usage: $prog_name [-o <text>] [-hqvV] [<file>]...

	Boilerplate for new scripts

	package main

	import (
	"crypto/rand"
	"crypto/rsa"
	"crypto/x509"
	"crypto/x509/pkix"
	"encoding/asn1"
	"encoding/pem"
	"os"

	//
	// Author: Jonathan Blow
	// Version: 1
	// Date: 31 August, 2018
	//
	// This code is released under the MIT license, which you can find at
	//
	// https://opensource.org/licenses/MIT
	//
	//