marcelcaraciolo

import requests
from BeautifulSoup import BeautifulSoup

def megasena_api():
  URL_ULTIMOS_RESULTADOS = 'http://www1.caixa.gov.br/loterias/loterias/megasena/megasena_pesquisa_new.asp'
	page = requests.get(URL_ULTIMOS_RESULTADOS)
	bs = BeautifulSoup(page.content)
	numeros_sena =  [ n.contents[0] for n in bs.findAll('li')[:6]]
	
	results = page.content.split('|')

marcelcaraciolo

//FightCode can only understand your robot
//if its class is called Robot
var Robot = function(robot) {

};

Robot.prototype.onIdle = function(ev) {
    var robot = ev.robot;
    robot.turn(360);

marcelcaraciolo

    base_url = 'https://www.moip.com.br/j_acegi_security_check'
    cj = cookielib.CookieJar()
    opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
    urllib2.install_opener(opener)

    login_data = urllib.urlencode({'j_username': username, 'j_password': password,
                'j_targetUrl': '/AdmTopMenu.do?method=home', 'x': '0', 'y': '0',
                'j_authenticationFailureUrl': '/MainMenu.do?method=login&failed=true'})
    #Autenticacao
    request = urllib2.Request(base_url, login_data)

marcelcaraciolo

#-*-coding: utf-8 -*-

'''

    This module represents the FriendsRecommender system for recommending
    new friends based on friendship similarity and state similarity.

'''
__author__ = 'Marcel Caraciolo <[email protected]>'

marcelcaraciolo

d = {192: u'A', 193: u'A', 194: u'A', 195: u'A', 196: u'A', 197: u'A',
     199: u'C', 200: u'E', 201: u'E', 202: u'E', 203: u'E', 204: u'I',
     205: u'I', 206: u'I', 207: u'I', 209: u'N', 210: u'O', 211: u'O',
     212: u'O', 213: u'O', 214: u'O', 216: u'O', 217: u'U', 218: u'U',
     219: u'U', 220: u'U', 221: u'Y', 224: u'a', 225: u'a', 226: u'a',
     227: u'a', 228: u'a', 229: u'a', 231: u'c', 232: u'e', 233: u'e',
     234: u'e', 235: u'e', 236: u'i', 237: u'i', 238: u'i', 239: u'i',
     241: u'n', 242: u'o', 243: u'o', 244: u'o', 245: u'o', 246: u'o',
     248: u'o', 249: u'u', 250: u'u', 251: u'u', 252: u'u', 253: u'y',

marcelcaraciolo

#-*-coding: utf-8 -*-

'''

    This module represents the recommender system for recommending
    new friends based on 'mutual friends'.


'''
__author__ = 'Marcel Caraciolo <[email protected]>'

marcelcaraciolo

#-*-coding: utf-8 -*-

'''

    This module represents the recommender system for recommending
    new friends based on 'mutual friends'.


'''
__author__ = 'Marcel Caraciolo <[email protected]>'

marcelcaraciolo

#-*-coding: utf-8 -*-

'''

    This module represents the recommender system for recommending
    new friends based on 'mutual friends'.


'''
__author__ = 'Marcel Caraciolo <[email protected]>'

marcelcaraciolo

    def count_max_of_mutual_friends(self, key, values):

        '''
        Prepare the dataset to yield the source and
        get the top suggestions.

        Input ({[friend1, friend2], numberOfMutualFriends}):

            ["fabio", "marcel"] 1
            ["fabiola", "marcel"]   1

marcelcaraciolo

    def count_number_of_friends(self, key, values):
        '''
        Count the number of mutual friends.

        Input ({[friend1, friend2], [-1, -1]};
               {[friend1, friend2],[1, 1]};):

            ["jonas", "marcel"] -1
            ["marcel", "maria"] -1
            ["jose", "marcel"]  -1