J2TEAM

(function(d) {
  'use strict';
 
  // DOM elements.
  var body = d.body;
  var html = d.documentElement;
  var head = d.head || d.getElementsByTagName('head')[0];
 
  // Style attributes.
  var b = body.style;

J2TEAM

/*!
 * Grunt
 * $ npm install grunt-contrib-uglify grunt-autoprefixer grunt-contrib-cssmin grunt-contrib-imagemin grunt-contrib-sass grunt-contrib-watch grunt-contrib-concat grunt-contrib-clean grunt-contrib-jshint grunt-notify --save-dev
 */

module.exports = function(grunt) {

  grunt.initConfig({

    // Sass

J2TEAM

Latency Comparison Numbers
--------------------------
L1 cache reference                            0.5 ns
Branch mispredict                             5   ns
L2 cache reference                            7   ns             14x L1 cache
Mutex lock/unlock                            25   ns
Main memory reference                       100   ns             20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy              3,000   ns
Send 1K bytes over 1 Gbps network        10,000   ns    0.01 ms
Read 4K randomly from SSD*              150,000   ns    0.15 ms

J2TEAM

#include <WinAPI.au3>
#include <WindowsConstants.au3>

Opt("WinTitleMatchMode", 2)

Local $hCompDC = _WinAPI_CreateCompatibleDC(0)
Local $tBMI = DllStructCreate($tagBITMAPINFO)
DllStructSetData($tBMI, 1, DllStructGetSize($tBMI) - 4) ; size of struct
DllStructSetData($tBMI, 2, 400) ; width
DllStructSetData($tBMI, 3, 400) ; height

J2TEAM

import speech_recognition
import pyttsx

speech_engine = pyttsx.init('sapi5') # see http://pyttsx.readthedocs.org/en/latest/engine.html#pyttsx.init
speech_engine.setProperty('rate', 150)

def speak(text):
	speech_engine.say(text)
	speech_engine.runAndWait()

J2TEAM

#AND

<b:if cond='data:blog.pageType == "index"'>
  <b:if cond='data:blog.searchQuery'>
    <!--search_page AND index_page-->
  </b:if>
</b:if>


#OR

J2TEAM

{
  "vars": {
    "@gray-base": "#000",
    "@gray-darker": "lighten(@gray-base, 13.5%)",
    "@gray-dark": "lighten(@gray-base, 20%)",
    "@gray": "lighten(@gray-base, 33.5%)",
    "@gray-light": "lighten(@gray-base, 46.7%)",
    "@gray-lighter": "lighten(@gray-base, 93.5%)",
    "@brand-primary": "darken(#428bca, 6.5%)",
    "@brand-success": "#5cb85c",

J2TEAM

#!/usr/bin/ruby
# encoding: utf-8
# Grab google web fonts and embed them as base64 data URIs
# <http://brettterpstra.com/2015/03/14/embedding-google-web-fonts/>
require 'base64'

if ARGV.length > 0
  input = ARGV
elsif STDIN.stat.size > 0
  input = STDIN.read.strip.split(/\n+/)

J2TEAM

Simple Javascript deobfuscator

Aims to deobfuscate the result of JavascriptObfuscator free version.

Run

To tun the script, you should have had node.js installed first. Requires node.js and following npm modules:

• esprima

J2TEAM

import cv2.cv as cv
import tesseract
gray = cv.LoadImage('captcha.jpeg', cv.CV_LOAD_IMAGE_GRAYSCALE)
cv.Threshold(gray, gray, 231, 255, cv.CV_THRESH_BINARY)
api = tesseract.TessBaseAPI()
api.Init(".","eng",tesseract.OEM_DEFAULT)
api.SetVariable("tessedit_char_whitelist", "0123456789abcdefghijklmnopqrstuvwxyz")
api.SetPageSegMode(tesseract.PSM_SINGLE_WORD)
tesseract.SetCvImage(gray,api)
print api.GetUTF8Text()