peterc

• You MUST NOT try and generate a Rails app from scratch on your own by generating each file. For a NEW app you MUST use rails new first to generate all of the boilerplate files necessary.
• Create an app in the current directory with rails new .
• Use Tailwind CSS for styling. Use --css tailwind as an option on the rails new call to do this automatically.
• Use Ruby 3.2+ and Rails 8.0+ practices.
• Use the default Minitest approach for testing, do not use RSpec.
• Default to using SQLite in development. rails new will do this automatically but take care if you write any custom SQL that it is SQLite compatible.
• An app can be built with a devcontainer such as rails new myapp --devcontainer but only do this if requested directly.
• Rails apps have a lot of directories to consider, such as app, config, db, etc.
• Adhere to MVC conventions: singular model names (e.g., Product) map to plural tables (products); controllers are plural.
• Guard against incapable browsers accessing controllers with `allo

bholtbholt

// This helper file provides a consistent API for testing Stimulus Controllers
//
// Use:
// import { getHTML, setHTML, startStimulus } from './_stimulus_helper';
// import MyController from '@javascripts/controllers/my_controller';
//
// beforeEach(() => startStimulus('my', MyController));
// test('should do something', async () => {
//   await setHTML(`<button data-controller="my" data-action="my#action">click</button>`);
//

DDimitris

class Cosine
  def initialize vecA, vecB
    @vecA = vecA
    @vecB = vecB
  end

  def calculate_similarity
    return nil unless @vecA.is_a? Array
    return nil unless @vecB.is_a? Array
    return nil if @vecA.size != @vecB.size

nicola

This is part of a set of visualisation that try to improve the Barclay's bike distribution in London. Visualizing the map of the London Tube is the first step to understand any correlation with bikes usage.

Aim

The technical aim I tried to achieve, is a very simple codebase that enables interaction (such as zooming) for later data analysis.

Inspiration

I have been using RandomETC's idea. However, in order to support scaling and to have a more structured code-base, most of the code has been re-written.