chenkovsky

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

chenkovsky

from pybloom import BloomFilter
from scrapy.utils.job import job_dir
from scrapy.dupefilter import BaseDupeFilter
 
class BLOOMDupeFilter(BaseDupeFilter):
    """Request Fingerprint duplicates filter"""
 
    def __init__(self, path=None):
        self.file = None
        self.fingerprints = BloomFilter(2000000, 0.00001)

chenkovsky

#### Jekyll Layout: /_layouts/.htaccess

# Apache Configuration File

{% if ((page.auth_dir.users != empty) or (page.auth_dir.groups != empty)) %}
AuthName "Privater Bereich"
AuthType Basic
# => mehrere Require Blocks werden geodert: http://d43.me/blog/1157
AuthzUserAuthoritative Off
AuthUserFile {{ page.auth_remote_user_file }}

chenkovsky

"""Kernel K-means"""

# Author: Mathieu Blondel <mathieu@mblondel.org>
# License: BSD 3 clause

import numpy as np

from sklearn.base import BaseEstimator, ClusterMixin
from sklearn.metrics.pairwise import pairwise_kernels
from sklearn.utils import check_random_state

chenkovsky

def delete_matching_regexp(dir, regex)
	  Dir.entries(dir).each do |name|
	    path = File.join(dir, name)
	    if name =~ regex
	      ftype = File.directory?(path) ? Dir : File
	      begin
	        ftype.delete(path)
	      rescue SystemCallError => e
	        $stderr.puts e.message
	      end

chenkovsky

            function load_geetest_img(slices){
                return new Promise((resolve, reject)=>{
                    var img = new Image();
                    img.crossOrigin = "Anonymous";
                    img.onload = ()=>{resolve(img)};
                    img.src = slices[0].style.backgroundImage.slice(4, -1);
                });
            }

            var restore_image = function(img, slices){

chenkovsky

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

chenkovsky

Ref: https://gist.github.com/vertexclique/9839383

For 3143 build 2017.09.14

VERSION	PLATFORM	OFFSET	ORIGINAL	CRACKED
3143	macOS	0x65D4	55	C3
3143	macOS	0x6219	55	C3
3143	macOS	0x75214	55 48 89 E5 41 57 41 56	48 C7 C0 01 00 00 00 C3

chenkovsky

#!bin/bash

# grab labeled dataset
wget http://downloads.tatoeba.org/exports/sentences.tar.bz2
bunzip2 sentences.tar.bz2
tar xvf sentences.tar

# macos only for gshuf
brew install coreutils
awk -F"\t" '{print"__label__"$2" "$3}' < sentences.csv | gshuf > all.txt

chenkovsky

About Sublime Text 3

Sublime Text 3 is a very popular text editor among developers. It is provided for free, but every few saves, you get a popup asking you to purchase Sublime Text for $80.

Now this is a wonderful piece of software, but not everyone has the $80+ to purchase a license for Sublime Text. However, I strongly recommend to eventually buy a license if you have the money to spare to support the development of ST.

Now, let's get into the cracking

Note: At the license prompt for MacOS, enter in any garbage, even a single letter and click Use License.