dhoss

devin@predaking:~/projects/web/treeify$ ruby bin/bm_in_query_vs_execute.rb 
-- drop_table(:nodes)
   -> 0.0163s
-- create_table(:nodes)
   -> 0.0058s
-- add_index(:nodes, [:parent_id, :id], {:unique=>true})
   -> 0.0037s

                                                                                                           user     system      total        real
in                                                                                                     0.000000   0.000000   0.000000 (  0.000090)

dhoss

# Give it two procs to compare

def bm(o, n)
  reload! 
  puts "Running 10 times" 
  Benchmark.bmbm(10) do |x| 
    x.report('Old Query:') { @olr = o.call }
    x.report('New Query:') { @nr = n.call } 
  end 
  reload! 

dhoss

terms = Hash.new{|h,k|h[k]=h.size}
docs = DATA.collect { |line| 
  name = line.match(/^\d+/)
  words = line.downcase.scan(/[a-z]+/)
  vector = [] 
  words.each { |word| vector[terms[word]] = 1 }
  {:name=>name,:vector=>vector}
}
current = docs.first # or any other
docs.sort_by { |doc| 

dhoss

package main

import "fmt"

// fibonacci is a function that returns
// a function that returns an int.
func fibonacci() func(int) int {
    fib := make([]int, 100)
    fib[0] = 0
    fib[1] = 1

dhoss

package main

import (
    "strings"
    "code.google.com/p/go-tour/wc"
)

func WordCount(s string) map[string]int {
    words := strings.Fields(s)
    wordCount := make(map[string]int)

dhoss

CarrierWave.configure do |config|

  #if Rails.env.test? or Rails.env.rspec?
  #  CarrierWave.configure do |config|
  #    config.storage = :file
  #  end
  #end

  config.fog_credentials = {
    :provider               => 'AWS',                        # required

dhoss

#!/usr/bin/env ruby

require 'net/http'
require 'csv'

write_to_file(hit_links)

def read_file
  file = File.open(ARGV[0]).read
  return file

dhoss

def grouped_impression_data
  raw_impression_data
  @impression_data.group_by {|i| i.first}.each {|k,v|
    v.each {|val| 
      val.shift
    }
    v.flatten
  }
end

dhoss

#!/usr/bin/env ruby
require 'rubygems'
require 'roo'
require 'csv'
require 'mechanize'
require 'date'

# 1. Read in excel file
# 2. Parse and grab columns of data needed
# 3. Push into an array of URLs, with an associated campaign id

dhoss

/** Thumbnailer
 *  generate a thumbnail of an image
 *  
 *  ==Overview==
 *  {{{
 *  val thumbnail = new Thumbnailer(.25, "image.jpg", "image-thumbnail.jpg")
 *  val resized = thumbnail.resize()
 *  thumbnail.save()
 *  }}}
 */