chriseppstein

@import "compass/utilities/sprites/base";


$toolbar-icon-sprites: sprite-map("icons/toolbar_*.png");
$sidebar-icon-sprites: sprite-map("icons/sidebar_*.png");

.toolbar-icon { background: $toolbar-icon-sprites; }
.sidebar-icon { background: $sidebar-icon-sprites; }

#toolbar {

stengland

module Noodall
  module Search
    STOPWORDS = ["about", "above", "above", "across", "after", "afterwards", "again", "against", "all", "almost", "alone", "along", "already", "also", "although", "always", "among", "amongst", "amoungst", "amount", "and", "another", "any", "anyhow", "anyone", "anything", "anyway", "anywhere", "are", "around", "back", "became", "because", "become", "becomes", "becoming", "been", "before", "beforehand", "behind", "being", "below", "beside", "besides", "between", "beyond", "bill", "both", "bottom", "but", "call", "can", "cannot", "cant", "con", "could", "couldnt", "cry", "describe", "detail", "done", "down", "due", "during", "each", "eight", "either", "eleven", "else", "elsewhere", "empty", "enough", "etc", "even", "ever", "every", "everyone", "everything", "everywhere", "except", "few", "fifteen", "fify", "fill", "find", "fire", "first", "five", "for", "former", "formerly", "forty", "found", "four", "from", "front", "full", "further", "get", "give", "had", "has", "hasnt", "have", 

tekacs

# Usage: show <local-port> <subdomain>
function show() {
    DOMAIN=".tekacs.com"
    REMOTE="$2$DOMAIN"
    ssh -tR 1080:127.0.0.1:$1 vps "sudo ssh -Nl \$USER -L $REMOTE:80:127.0.0.1:1080 localhost"
}

duarten

//
// Given an array of N (can be very large) 64 bit integers where every integer 1-N
// appears once in the array, except there is one integer missing and one integer 
// duplicated, find the missing and duplicated integers. The algorithm should run 
// in linear time and in small constant space and leave the array untouched.
// 

static void GetDuplicateAndMissing(long[] a, out long duplicate, out long missing)
{
    long xor = 0; // duplicate ^ missing

mariovisic

# app/uploaders/avatar_uploader.rb

  process :fix_exif_rotation
  process :strip
  process :resize_to_fill => [1024, 768]
  process :quality => 90 # Percentage from 0 - 100

karmi

# Reversed or “Real Time” Search in ElasticSearch
# ====================================================================================

# You may have come across the term “realtime search” lately
# (eg. [here](http://engineering.socialcast.com/2011/05/realtime-search-solr-vs-elasticsearch/))
# and wondered what all the fuss is about.
#
# Well, the usual workflow with search engines goes like this:
#
# 1. You index some documents.

alh3im

// Config
{
    "index" : {
        "analysis" : {
            "filter" : {
              "my_ngram" : {
                "max_gram" : 20,
                "min_gram" : 2,
                "type" : "nGram"
              }

arian

var MoogPlus = new Class({

	Extends: Fx.Morph,

	options: {
		rowSelector: '.row',
		activeClass: 'active',
		event: 'click',
		'class': 'MoogPlus',

timoxley

argv   = process.argv.slice(2)
stitch = require('stitch')
fs     = require('fs')

mode = argv[0] || "DEV"

package = stitch.createPackage
  paths: [__dirname + '/scripts']

khepin

<?php

//... Product class code ...

public function addTags(\Khepin\ProductBundle\Entity\Tag $tags)
{
    $this->tags[] = $tags;
    $tags->setProduct($this);
}