9b

//preserve originals
var ori = function() {
    var self = this;
    this.unescape = unescape;
    this.alert = alert;
    this.eval = eval;
    this.fromCharCode = String.fromCharCode;

    this.call_unescape = function(e) {
        document.write("<br>original unescape was passed data");

9b

import sys
import smtplib
import socket

from email.mime.text import MIMEText

def sendmail(user):
    sender = "admin@smscatfacts.com"
    recv = user
    subject = "Shave it up!"

9b

import pycurl
import simplejson as json
import urllib
import time
import datetime
  
STREAM_URL = "https://stream.twitter.com/1/statuses/filter.json"  
  
USER = "YOUR USERNAME"  
PASS = "YOUR PASSWORD"

9b

var map = function () {
    fhash = this.hash;
    this.static.strings.forEach(function (z) {emit(z.name, {hash: fhash, count_sum: z.count, count: 1});});
}

var reduce = function (key, values) {
	var hashes = [];var total = 0;var count = 0;var stotal = 0;
    for (var i = 0; i < values.length; i++) {
        stotal += values[i].count;
        total += values[i].count_sum;

9b

loggersS = set()

def logger(loggerName, level, logFile=None):
    '''
    Get a logging instance
    @param  loggerName  name of the logging instance
    @param  level       level in which to log
    @param  logFile     the absolute path to the log file to use. you must have write perms for this!

    @return logging object used for later on

9b

#!/usr/bin/env python
"""PassiveTotal script to automate BePush processing based on monitors.

This script will query for the items in your account monitor list and use those
values in order to get all passive DNS notifications. Each notification will be
processed which includes tagging, classifying and sharing out to Facebook's
ThreatExchange. Running this script daily will essentially automate most of the
work required to keep up with BePush.
"""

9b

#!/usr/bin/python

def poorMansConvert(di, inPath, outType, outPath):
  from apiclient.http import MediaFileUpload

	valid_output = [
		'text/html','text/plain','application/rtf','application/vnd.oasis.opendocument.text',\
		'application/pdf','application/vnd.openxmlformats-officedocument.wordprocessingml.document',\
		'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet','application/x-vnd.oasis.opendocument.spreadsheet',\
		'image/jpeg','image/png','image/svg+xml','application/vnd.openxmlformats-officedocument.presentationml.presentation'	

9b

// ==UserScript==
// @name         Auto-endorse LinkedIn Connections
// @require      https://code.jquery.com/jquery-1.9.1.js
// @require      https://gist.github.com/raw/2625891/waitForKeyElements.js
// @version      0.6
// @description  Automatically endorse the user we are viewing for their top skills
// @author       Brandon Dixon (@9bplus)
// @grant        none
// @include      https://www.linkedin.com/*
// ==/UserScript==

9b

"""Extract median, min and max pay data from Glassdoor for a given set of job titles."""
from bs4 import BeautifulSoup
import requests
import sys


USER_AGENT = ("Mozilla/5.0 (Windows NT 6.1) "
              "AppleWebKit/537.36 (KHTML, like Gecko) "
              "Chrome/41.0.2228.0 Safari/537.36")

9b

"""Use image analysis to extract scores from coffee charts."""

from PIL import Image, ImageFilter, ImageEnhance
from pytesseract import image_to_string
import cv2
import os
import sys
import numpy as np