dalibor

#####
## Host machine
#####

# install virtual box
sudo apt-get install virtualbox

# install vagrant and setup vagrant box with Ubuntu 12.04
gem install vagrant
vagrant box add pairing_workstation http://files.vagrantup.com/precise32.box

dalibor

cd ~
sudo apt-get update
sudo apt-get install openjdk-7-jre -y

wget https://github.com/downloads/elasticsearch/elasticsearch/elasticsearch-0.19.0.tar.gz -O elasticsearch.tar.gz
tar -xf elasticsearch.tar.gz
rm elasticsearch.tar.gz
sudo mv elasticsearch-* elasticsearch
sudo mv elasticsearch /usr/local/share

dalibor

Behavior Driven Development

Description of BDD

• Domain-driven design

Principles of BDD

• Enough is enough

dalibor

gem install vagrant
vagrant box add precise64 http://files.vagrantup.com/precise64.box
vagrant init
vagrant up

dalibor

# Have you ever had to sleep() in Capybara-WebKit to wait for AJAX and/or CSS animations?

describe 'Modal' do
  
  should 'display login errors' do
    visit root_path
    click_link 'My HomeMarks'
    within '#login_area' do
      fill_in 'email', with: 'will@not.work'
      fill_in 'password', with: 'test'

dalibor

Patched ruby 1.9.3-p0 for 30% faster rails boot

What is?

This script installs a patched version of ruby 1.9.3-p0 with patches to make ruby-debug work again (#47) and boot-time performance improvements (#66 and #68), and runtime performance improvements (#83 and #84).

Huge thanks to funny-falcon for the performance patches.

• http://github.com/ruby/ruby/pull/47
• http://github.com/ruby/ruby/pull/66

dalibor

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dalibor

class Classifier
  attr_accessor :training_sets, :noise_words

  def initialize(data)
    @training_sets = {}
    filename = File.join(File.dirname(__FILE__), 'stop_words.txt')
    @noise_words = File.new(filename).readlines.map(&:chomp)
    train_data(data)
  end

dalibor

require 'rubygems'
require 'nokogiri'
require 'open-uri'
require 'rss/2.0'

# training data samples
economy = HtmlParser.new('http://en.wikipedia.org/wiki/Economy', '.mw-content-ltr')
sport   = HtmlParser.new('http://en.wikipedia.org/wiki/Sport', '.mw-content-ltr')
health  = HtmlParser.new('http://en.wikipedia.org/wiki/Health', '.mw-content-ltr')

dalibor

class RssParser
  attr_accessor :url

  def initialize(url)
    @url = url
  end

  def article_urls
    RSS::Parser.parse(open(url), false).items.map{|item| item.link }
  end