samklr

https://mypoi-hack.googlecode.com/svn/trunk/
Uq7qS2Uy7Ag5

samklr

##MixedTweets

We will see how to mix 2 twitter searches and push the results to the browser in real time.

First, checkout this mini project

To try it, you need to install Play 2.0

###Controller

samklr

import util.matching.Regex

object ExtremeStartup {

  def answer(q: String): Any = {

    if (q.contains("what is your name"))
      return "Mikkel"
    if (q.contains("which city is the Eiffel tower in"))
      return "Paris"

samklr

def swap (x : Int; y : Int) = {
   var a = x; var b =y;
   a= a -b; b= b+a; a= b -a;
}


def fibonacci(n : Int) = recursiveFib(n, 1, 0)

def recursiveFib ( n : Int, next : Int, result : Int) : Int = {
               n match {

samklr

object FuncourseWithUncleMartin{
  
 */
object Setsss{

  def contains(s: Set, elem: Int): Boolean = s(elem)

  def singleton(elem: Int): Set =  Set(elem)//(x :Int) => x == elem
 
  def union(s: Set, t: Set): Set = (x : Int) => s(x) || t(x)

samklr

require 'sinatra'
require 'logger'

log = Logger.new(STDOUT)
log.level = Logger::DEBUG

get '/' do
	if params[:q]
		log.debug(params[:q])
		sz_q = params[:q].split(": ")[1]

samklr

class GOL

  def initialize
    @cells = Array.new(10,Array.new(10))

    for i in 0..9
      for j in 0..9
       @cells[i][j] = 0
       end

samklr

(*s {\bf Anagrams.} The following program finds all the anagrams of a given
    set of characters among a dictionary. Such a dictionary can be built by
    the following program given a list of files containing words (one per
    line). *)

(*s The dictionary is implemented as a \emph{trie}. It is a multi-branching
    tree, where branches are labelled with characters. Each node contains
    a boolean which says if the word corresponding to the path from the root
    belongs to the dictionary. The branches are implemented as maps from
    characters to dictionaries. *)

samklr

package patmat

import common._
import scala.collection.immutable._

/**
* Assignment 4: Huffman coding
*
*/
object Huffman {

samklr

// Instanciate cluster then connect

Cluster cluster =new Cluster.Builder()
                            .addContactPoints( addr1, addr2)
                            .build()

Session session = cluster.connect()

session.execute(query)