drzax

[  
   {  
      "Ministry":"01. Barton (Protectionist), 1 Jan 1901-24 Sept 1903",
      "Title":"Minister for External Affairs",
      "Name":"Barton, Edmund",
      "House":"HR",
      "Party":"Protectionist",
      "State":"NSW",
      "InCabinet":"N/A",
      "Start":"1901-01-01",

morganherlocker

This is a rough spec for an implementation of a realtime virtual world using OpenStreetMap data and voxel.js. The basic idea is to encode feature data pulled from Mapbox vector tiles as overzoomed tiles, which can be represented as voxels. This allows for easy scalability, since it utilizes existing algorithms and architecture.

The initial implementation is going on here.

###general

• 1 voxel = 1 tile at zoom 17 = 1.1943 sq meters
• the world is a 33,554,432 x 33,554,432 voxel grid
• assume that a server is serving up vector tile pbfs at z15 (mapbox.com, local, etc.)
• vector tiles are loaded at zoom 15 and geometry is encoded as 4096x4096 pixel coordinates, which is equivalent to tiles at zoom 24

geelen

Global traits, local components

The idea is to combine the best bit of global styling (reuse, small payload) and local styling (total isolation, first-class React syntax)

This is combined with the concept of traits: you can think of them as permitted property/value pairs. Instead of every component being able to have every CSS property available to it, you can reduce your permitted set to X font families, Y font-size + line-height pairs, Z foreground/background colour pairs, W padding amounts. This is based off my work using amcss on real projects — traits were the single key feature that kept me using AM.

The one-sentence explanation: A site defines a set of permitted visual features, all components are simply a combination of those features

Definitions

drzax

#!/bin/bash

while [ 1=1 ]; do
  wget seattletimes.com -O st.html
  git commit -a -m "Registered update"
  sleep 600
done

juliocesar

function selection() {
  return  window.getSelection   ? window.getSelection().toString() : 
          document.getSelection ? document.getSelection().toString() : 
          document.selection    ? document.selection.createRange().text : 
          false;
}

aemkei

            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
                    Version 2, December 2004

 Copyright (C) 2011 YOUR_NAME_HERE <YOUR_URL_HERE>

 Everyone is permitted to copy and distribute verbatim or modified
 copies of this license document, and changing it is allowed as long
 as the name is changed.

            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE

OiNutter

            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
                    Version 2, December 2004

 Copyright (C) 2011 Will McKenzie<www.oinutter.co.uk>

 Everyone is permitted to copy and distribute verbatim or modified
 copies of this license document, and changing it is allowed as long
 as the name is changed.

            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE

pamelafox

  // isDefined(window, 'google');
  // isDefined(window, 'google.maps.places'); 
  var isDefined = function(parent, name) {
      var parts   = name.split('.');
      var part    = parts.shift();
      var cur     = parent;

      while (part) {
        if (cur[part]) {
            cur = cur[part];

anthonyshort

/*global module:false*/
module.exports = function(grunt) {

  // Project configuration.
  grunt.initConfig({
    meta: {
      version: '0.1.0',
      banner: '/*! Cake Marketing - v<%= meta.version %> - ' +
        '<%= grunt.template.today("yyyy-mm-dd") %>\n' +
        '* http://cakemarketing.com/\n' +

bjeanes

##################################################################
# Given a list of words, model a T9[1] predictive text engine.   #
#                                                                #
# Input to the function will be a series of pressed digits. The  #
# output should be a set of all possible words that can be built #
# using those keys as the prefix.                                #
#                                                                #
# [1] http://en.wikipedia.org/wiki/T9_(predictive_text)          #
##################################################################