crawler

# frozen_string_literal: true

###############################################################################################
#                            WHAT I SERIALIZE?                                                #
###############################################################################################

# This scrip can help you to find what object types you need to witelist after CVE-2022-32224 update
# AD: If you using StimulusJS then checkout my gem stimulus_tag_helper
# https://rubygems.org/gems/stimulus_tag_helper
# https://github.com/crawler/stimulus_tag_helper

MarkDana

How to install numpy on M1 Max, with the most accelerated performance (Apple's vecLib)? Here's the answer as of Dec 6 2021.

---

Steps

I. Install miniforge

So that your Python is run natively on arm64, not translated via Rosseta.

1. Download Miniforge3-MacOSX-arm64.sh, then
2. Run the script, then open another shell

$ bash Miniforge3-MacOSX-arm64.sh

mrdbourke

How to setup a TensorFlow environment on M1, M1 Pro, M1 Max using Miniforge

You: have a new M1, M1 Pro, M1 Max machine and would like to get started doing machine learning and data science on it.

This page: goes through a list of steps to install package managers and common machine learning and data science packages (software) on your machine and make sure they run using sample code.

Steps

1. Download and install Homebrew from https://brew.sh. Follow the steps it prompts you to go through after installed.
2. Download Miniforge3 (Conda installer) for macOS arm64 chips (M1, M1 Pro, M1 Max).

scottchu

# updated 2021-11-21

# Create conda environment
conda create --name snorkel "python=3.9" -y
conda activate snorkel

# Install Additional Packages
conda install -y \
  "numpy<1.20.0" \
  "pandas==1.3.3" \

ProGM

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

twalpole

require 'bundler/inline'

gemfile do
  source 'https://rubygems.org'
  gem 'selenium-webdriver'
  gem 'webdrivers'
  gem 'capybara'
  gem 'byebug'
  gem 'puma'
end

ColinLeverger

docker images | grep -v REPOSITORY | awk '{print $1}' | xargs -L1 docker pull  

fadhlirahim

# assumption
# model user exist
# 
module AccessTokenHelper
  APP_NAME = "app name".freeze
  REDIRECT_URL =  "https://host.name/oauth/callback".freeze

  def token_scopes(scopes)
    app = Doorkeeper::Application.create!(:name => "MyApp", :redirect_uri => REDIRECT_URL)
    user =  create(:user)

antond

# Maintainer: Maxime Gauduin <alucryd@gmail.com>
# Contributors: M0Rf30, faidoc, sh4nks, PedroHLC

pkgname=lightdm-pantheon-greeter-bzr
pkgver=r274
pkgrel=0

pkgdesc="LightDM greeter from the ElementaryOS team written in Vala "
arch=('i686' 'x86_64')
url="https://launchpad.net/pantheon-greeter"

lucasdavila

# see the current limits
$ sysctl -a | grep maxproc

# increase it
$ sudo sysctl -w kern.maxproc=xxxx
$ sudo sysctl -w kern.maxprocperuid=xxx

# run at startup
$ sudo vim /etc/sysctl.conf