gdevanla

import unittest

def foo(x, y, z):
    return (x != y and x != z or x and z)

def get_test_args():
    x = y = z = [True, False]
    from itertools import product, repeat
    input_args = list(product(x, y, z))
    expected_args = [

TomAugspurger

glamp

# building the classifier
from sklearn.ensemble import RandomForestClassifier

# I find it easiest to just define all the features you'll be using in a list. In
# our case it's just the fuzzy scores that we generated using fuzzywuzzy.
features = [
    'name_ratio',
    'name_token_sort_ratio',
    'name_partial_ratio',
    'street_ratio',

mklymyshyn

import sys
import requests

from arango import create

from bs4 import BeautifulSoup


HEADERS = {
    "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5)",

huangzhichong

API workthough

1. Open a browser

   # start an instance of firefox with selenium-webdriver
   driver = Selenium::WebDriver.for :firefox
   # :chrome -> chrome
   # :ie     -> iexplore
   

• Go to a specified URL

igor-alexandrov

class Settings < Settingslogic
  source "#{Rails.root}/config/application.yml"
  
  if Rails.env == 'development'
    namespace 'development-' + Socket.gethostname.gsub(/\W/, '-').gsub(/[-]{2,}/, '-')
  else
    namespace Rails.env
  end
      
  # load local settings