rogerbraun

rogerbraun

# encoding: utf-8
#
# TODO Adapt the generated example
#      (a library books finder) to what you need.
#
# Questions? Mail me, IRC #picky, the google group, http://github.com/floere/picky/wiki.
#
class PickySearch < Application

  # How text is indexed. Move to Index block to make it index specific.

rogerbraun

# encoding: utf-8
#
# TODO Adapt the generated example
#      (a library books finder) to what you need.
#
# Questions? Mail me, IRC #picky, the google group, http://github.com/floere/picky/wiki.
#
class PickySearch < Picky::Application

  # So we don't have to write Picky::

rogerbraun

require "romkan"

class WadokuEntry
  def initialize(entry_as_string)
    @str = entry_as_string
  end

  def kana
    @str.split("\t")[1] # The reading is the second column in the file
  end

rogerbraun

pre_segmented = [["MYDOGISINTHEHOUSE", "MY DOG IS IN THE HOUSE"],
                ["FOURNICEDOGS", "FOUR NICE DOGS"],
                ["MYCATLIKESMYDOG", "MY CAT LIKES MY DOG"]]
index = Maxixe::Trainer.generate_corpus_from_io([2,3,4,5], "ILIKEMYDOG
THISHOUSEISMYHOUSE
MYDOGISSONICE
WHOLIKESDOGSANYWAY
CATSANDDOGSUSUALLYFIGHT
INMYHOUSETHEREAREFOURDOGS
IWANTAHOUSEFORMYDOG")

rogerbraun

How to get the selective color effect

When I started thinking about this Codebrawl, I had essentially two ideas how to do get the selective color effect: Try to detect each crayon as an object and keep one of them in color, or take a reference color and just keep the colors that are similar to it. The first idea would be more universal, but seems to me much harder to implement. I chose the second one, so I needed a way to measure the distance between to colors.

How to measure the distance between colors

There are several ways to get a value that tells you how much colors are like each other. If you have an RGB pixel, you could just take these 3 values as coordinates in a 3D space and calculate the distance there. I did not actually implement this, as it does not represent similar colors in the way we would see them. For example, the color (255,0,0) and (127,0,0) would both be just red, but they would have the same distance as (255, 128, 0), which introduces green to the color mix and looks pretty diff

rogerbraun

ips = File.readlines("ip_list").map(&:strip)
used_ips = []
if File.exist?("used_ips")
  used_ips = File.readlines("used_ips").map(&:strip)
end


ips -= used_ips

while ips.size > 0 do

rogerbraun

module ChunkyPNG::Color
  # See http://en.wikipedia.org/wiki/Hue#Computing_hue_from_RGB
  def self.hue(pixel)
    r, g, b = r(pixel), g(pixel), b(pixel)
    return 0 if r == b and b == g 
    ((180 / Math::PI * Math.atan2((2 * r) - g - b, Math.sqrt(3) * (g - b))) - 90) % 360
  end

  # The modular distance, as the hue is circular
  def self.distance(pixel, poxel)

rogerbraun

require "nokogiri"
require "pry"
class NodesAndEdges

  def initialize(filename)
    file = open(filename)
    @doc = Nokogiri::HTML(file)
  end

  def nodes

rogerbraun

var assert_equal = function(a, b) {
  if(a === b){
    return {passed: true};
  } else { 
    throw { message: ("Expected:\n\"" + a + "\"\nGot:\n\"" + b + "\""), passed: false}
;
  }
}

var indent = function(text) {