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A backup of http://sites.google.com/site/redcodenl/creating-shazam-in-java-1 just in case
Why is this necessary? Read http://sites.google.com/site/redcodenl/patent-infringement
Please fork, tweet about, etc.
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Creating Shazam in Java
A couple of days ago I encountered this article: How Shazam Works

This got me interested in how a program like Shazam works… And more importantly, how hard is it to program something similar in Java?

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# Implementation inspired by "Simple simhashing" by  Ryan Moulton
# http://knol.google.com/k/simple-simhashing

# For simhashing we take ngrams and calculate their hash
# It could be interesting to change the ngram size, but '2' 
# is a good value according to my tests
def simhashing sentence, ngram_size = 2

  terms = sentence.downcase.split " "
  hashes = []

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Instructions for installing FlockDB on Ubuntu

------- Dependencies

- java 1.6: The "easy" one: apt-get install sun-java6-*

In Ubuntu 10.4 java packages have been moved to partner repository(https://wiki.ubuntu.com/LucidLynx/ReleaseNotes#Sun Java moved to the Partner repository), so we must add the partner repository:

  sudo add-apt-repository "deb http://archive.canonical.com/ lucid partner"

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Dado que se han suscrito los siguientes usuarios:
     | email             | pais   | interests   |
     | [email protected]   | España | Arquitectos |
     | [email protected]   | España | Artistas y fotógrafos |

---

Dado /^que se han suscrito los siguientes usuarios:$/ do |subscriptors|
  subscriptors.hashes.each do |s|
    subscriber = Factory.create :subscriber, :email => s[:email], :interests => Factory.create(:interests, :name => s[:interests])

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# We have some cached pages (not every page) and we need to analyze if there's a huge concentration of misses as we have poor performance
# This simple script gets a rails log file and parses it to find the hits/misses to the cache and the response times
# key points: 
#  - Cache expires with time, so it's easy to parse the logs and detect misses
# The ouput is a CSV format with four columns: Minute, misses, hits and average request time

# CHANGES:
# 2010-11-30 16:11 : Extracted the regexp so we can use it for another logfiles
# 2010-11-30 16:11 : Included URL regexps so we can define which URLs shoud be analyzed and wich ones ignored

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require 'rubygems'
require 'faster_csv'


FasterCSV.foreach('areas.csv', :headers => true, :col_sep => ';') do |row|  
  from = "<ID_CENTRO_TRABAJO>#{row['ID_CENTRO_TRABAJO']}</ID_CENTRO_TRABAJO>"
  to = "<ID_CENTRO_TRABAJO>#{row['INTRANET']}</ID_CENTRO_TRABAJO>"
  
  File.open('fixed.xml').each_line { |line| puts line.gsub(from, to) }  
end

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<ROW>
  <C0>1</C0>
  <ID_EMPLEADO>01365</ID_EMPLEADO>
  <NAME>MARIA PAZ MARTIN GONZALEZ</NAME>
  <EMAIL>[email protected]</EMAIL>
  <POSITION>ADMINISTRATIVO  I</POSITION>
  <EXTENSION></EXTENSION>
  <N_FICHERO>01365.jpg</N_FICHERO>
  <ID_CENTRO_TRABAJO>MAD</ID_CENTRO_TRABAJO>
  <N_UNIDAD>ADMINISTRACION</N_UNIDAD>

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ID_CENTRO_TRABAJO;INTRANET
MAD;MOD

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# My first Thor script is a helper to the productivity strategy of having an 
# specific /etc/hosts file that blocks Twitter, Facebook, porn sites, and other 
# unwanted distractions, during certains time of the day.

# Copy of your regular hosts file to /etc/hosts.play 
# Create a /etc/hosts.work file with all the blocked sites on it
# Use 'thor lets:do [work|play]' to switch to the desired mental context.

# 'work' and 'play' are orientative, use whichever keywords suit you best. 
# Nothing keeps you from keeping n different 'contexts' around.

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Cuando /^vacio el campo ["'](.+)["']$/ do |field|
  find_field_and_do :fill_in, field, :with => ""
end