jashkenas

#! /usr/bin/env ruby
require 'rubygems'
require 'hpricot'

username = "<username>"
password = "<password>"
 
tix = Hpricot(IO.popen("curl https://trac.zenbe.com/report/7 --basic -u #{username}:#{password} -k -s"))

(tix/"table.listing.tickets"/"tbody"/"tr").each do |row|

jashkenas

// This code is MIT licensed: http://creativecommons.org/licenses/MIT/
// Zenbe Inc (2009).

// Ensure our Zenbe namespaces exist.
window.zen = window.zen || {};
window.zen.util = window.zen.util || {};

/**
* The DropManager class provides a pleasant API for observing HTML5 drag-n-drop 
* events, cleaning up the data that they return, and triggering the appropriate 

jashkenas

<a class="ktc_search_button" style="display: block; background: #2f6088; font-family: 'Trebuchet MS'; font-size: 1.1em; text-decoration: none; padding: 4px 7px; color: white; border: 1px solid white; -moz-box-shadow: 2px 2px 2px #555; -webkit-box-shadow: 2px 2px 2px #555; box-shadow: 2px 2px 2px #555; -moz-border-radius: 6px; -webkit-border-radius: 6px; border-radius: 6px; -webkit-gradient" href="javascript:(function(){if(window.KTC){return KTC.Politician.run();};window.KTC_ROOT='http://know-thy-congressman.com';var script=document.createElement('script');script.src='http://know-thy-congressman.com/javascripts/know-thy-congressman.js';document.getElementsByTagName('head')[0].appendChild(script);})();">
  <script type="text/javascript">
    window.KTC_SEARCH = "Artur Davis";
  </script>
  <span>Open Artur Davis' Factsheet</span>
</a>

jashkenas

require 'rubygems'
require 'rest_client'
require 'cgi'

@threads  = []
@mp3s     = []
@page     = 1

Dir.mkdir('mp3s') unless File.exists?('mp3s')

jashkenas

require 'open-uri'
require 'cgi'

@threads  = []
@mp3s     = []
@page     = 1

Dir.mkdir('mp3s') unless File.exists?('mp3s')

@threads << Thread.new do

jashkenas

# Let's count all the words in Shakespeare.

RestClient.post('http://localhost:9173/jobs', 
{:job => {
	
		'action' => 'word_count',
		
		'inputs' => [
			'http://www.gutenberg.org/dirs/etext97/1ws3010.txt',  # All's Well That Ends Well
			'http://www.gutenberg.org/dirs/etext99/1ws3511.txt',  # Anthony and Cleopatra

jashkenas

#!/usr/bin/env ruby -rubygems

require 'restclient'
require 'json'

# Let's count all the words in Shakespeare.

RestClient.post('http://localhost:9173/jobs', 
  {:job => {
	

jashkenas

# A WordCount, the canonical MapReduce Demo. Depends on the 'wc' utility. 
class WordCount < CloudCrowd::Action
  
  # Count the words in a single book.
  def process
    (`wc -w #{input_path}`).match(/\A\s*(\d+)/)[1].to_i
  end
  
  # Sum the total word count.
  def merge

jashkenas

# The GraphicsMagick action, dependent on the `gm` command, is able to perform
# any number of GraphicsMagick conversions on an image passed in as an input.
# The options hash should specify the +name+ for the particular step (which is
# appended to the resulting image filename) the +command+ (eg. convert, mogrify), 
# the +options+ (to the command, eg. -shadow -blur), and the +extension+ which 
# will determine the resulting image type. Optionally, you may also specify
# +input+ as the name of a previous step; doing this will use the result of
# that step as the source image, otherwise each step uses the original image
# as its source.
class GraphicsMagick < CloudCrowd::Action

jashkenas

# Depends on working pdftk, gm (GraphicsMagick), and pdftotext (Poppler) commands.
# Splits a pdf into batches of N pages, creates their thumbnails and icons,
# as specified in the Job options, gets the text for every page, and merges 
# it all back into a tar archive for convenient download.
#
# See <tt>examples/process_pdfs_example.rb</tt> for more information.
class ProcessPdfs < CloudCrowd::Action
  
  # Split up a large pdf into single-page pdfs. Batch them into 'batch_size'
  # chunks for processing. The double pdftk shuffle fixes the document xrefs.