carlosmr12

 var color_mapping = function(chain){
                var mapping = {
                    'A': '0xC0D0FF',
                    'B': '0xB0FFB0',
                    'C': '0xFFC0C8',
                    'D': '0xFFFF80',
                    'E': '0xFFC0FF',
                    'F': '0xB0F0F0',
                    'G': '0xFFD070',
                    'H': '0xF08080',

carlosmr12

def perceptron_train(self, data):
  errors = 0
      w = list()
      w.append([0 for item in range(0, len(data[0][1]))])

      k = 0
      all_correct = True

      while(1):
          all_correct = True

carlosmr12

from argparse import ArgumentParser
from collections import Counter


TRAIN_SET = str()

def main():
    features_vector = list()
    vocabulary_counter = Counter()
    bag_words = set()

carlosmr12

list_int = [[1, 2, 3], [1, 2, 3], [1, 4, 5, 6], [10], [1, 2], [1, 2], [1, 2], [1, 2], [1, 4, 5, 6], [10], [1]]

list_int_aux = []

count = 0

for sublist in list_int:
    if sublist not in list_int_aux and list_int.count(sublist) > 1:
       count += 1
       list_int_aux.append(sublist)

carlosmr12

#!/usr/bin/python
# -*- coding: utf-8 -*-

import os
from Bio.PDB import PDBParser, PDBIO, Select
 
arquivos = [ f for f in os.listdir('.') if os.path.isfile(os.path.join('.',f)) ]

class ChainSelect(Select):
    def __init__(self, chain):

carlosmr12

[{ "team": "Boston Celtics" },{ "team": "Dallas Mavericks" },{ "team": "Brooklyn Nets" },{ "team": "Houston Rockets" },{ "team": "New York Knicks" },{ "team": "Memphis Grizzlies" },{ "team": "Philadelphia 76ers" },{ "team": "New Orleans Hornets" },{ "team": "Toronto Raptors" },{ "team": "San Antonio Spurs" },{ "team": "Chicago Bulls" },{ "team": "Denver Nuggets" },{ "team": "Cleveland Cavaliers" },{ "team": "Minnesota Timberwolves" },{ "team": "Detroit Pistons" },{ "team": "Portland Trail Blazers" },{ "team": "Indiana Pacers" },{ "team": "Oklahoma City Thunder" },{ "team": "Milwaukee Bucks" },{ "team": "Utah Jazz" },{ "team": "Atlanta Hawks" },{ "team": "Golden State Warriors" },{ "team": "Charlotte Bobcats" },{ "team": "Los Angeles Clippers" },{ "team": "Miami Heat" },{ "team": "Los Angeles Lakers" },{ "team": "Orlando Magic" },{ "team": "Phoenix Suns" },{ "team": "Washington Wizards" },{ "team": "Sacramento Kings" }]

carlosmr12

[{ "team": "New Jersey Devils" },{ "team": "New York Islanders" },{ "team": "New York Rangers" },{ "team": "Philadelphia Flyers" },{ "team": "Pittsburgh Penguins" },{ "team": "Chicago Blackhawks" },{ "team": "Columbus Blue Jackets" },{ "team": "Detroit Red Wings" },{ "team": "Nashville Predators" },{ "team": "St. Louis Blues" },{ "team": "Boston Bruins" },{ "team": "Buffalo Sabres" },{ "team": "Montreal Canadiens" },{ "team": "Ottawa Senators" },{ "team": "Toronto Maple Leafs" },{ "team": "Calgary Flames" },{ "team": "Colorado Avalanche" },{ "team": "Edmonton Oilers" },{ "team": "Minnesota Wild" },{ "team": "Vancouver Canucks" },{ "team": "Carolina Hurricanes" },{ "team": "Florida Panthers" },{ "team": "Tampa Bay Lightning" },{ "team": "Washington Capitals" },{ "team": "Winnipeg Jets" },{ "team": "Anaheim Ducks" },{ "team": "Dallas Stars" },{ "team": "Los Angeles Kings" },{ "team": "Phoenix Coyotes" },{ "team": "San Jose Sharks" }]

carlosmr12

<style type="text/css">
        .cal_Theme1 .ajax__calendar_container
        {
            background-color: #e2e2e2;
            border: solid 1px #cccccc;
        }
        .cal_Theme1 .ajax__calendar_header
        {
            background-color: #ffffff;
            margin-bottom: 4px;

carlosmr12

         assert world.aux.find_link_by_text('perfect/index.php/publiccastings/')
         answer_url = world.aux.find_link_by_partial_text('perfect/index.php/publiccastings')
         time.sleep(2)
         world.aux.quit()
         time.sleep(1.5)
         world.aux1 = Browser('chrome')
         world.aux1.visit(answer_url)
         assert  True

carlosmr12

#################### SET MANNEQUINS #########################
@step(u'E devo selecionar alguns modelos para este evento')
def e_devo_selecionar_alguns_modelos_para_este_evento(step):
         assert world.browser.find_by_css('a.btn_on_footer')
         world.browser.find_by_css('a.btn_on_footer').click()
         select_models('carlos')
 
def select_models(x):
         world.browser.execute_script('$("iframe:last").attr("id","iframeModelsSelect")')
         with world.browser.get_iframe("iframeModelsSelect") as iframe: