teebu

#!/usr/bin/env bash

# Must be run on an Amazon Linux AMI that matches AWS Lambda's runtime
# As of Nov 23, 2015, this is Amazon Linux AMI 2014.09.2 x86_64 (ami-0c682c64)
#
# Lambda includes ImageMagick 6.7.8-9 preinstalled, so you need to prepend PATH
# with the folder containing these binaries in your Lambda function to ensure
# these newer binaries are used.
#
# imagemagick binary will be in /var/task/imagemagick/bin/convert

teebu

# varnish 4.1
sudo yum -y install autoconf automake jemalloc-devel libedit-devel libtool ncurses-devel pcre-devel pkgconfig python-docutils python-sphinx graphviz
curl -s https://packagecloud.io/install/repositories/varnishcache/varnish41/script.rpm.sh | sudo bash
wget --content-disposition https://packagecloud.io/varnishcache/varnish41/packages/el/6/varnish-4.1.10-1.el6.x86_64.rpm/download.rpm
sudo rpm -Uvh varnish-4.1.10-1.el6.x86_64.rpm
/usr/sbin/varnishd -V


# varnish 4
sudo yum -y install autoconf automake jemalloc-devel libedit-devel libtool ncurses-devel pcre-devel pkgconfig python-docutils python-sphinx graphviz

teebu

def col_print(title, array, term_width=150, pad_size=1):
    indent = " " * 4
    pad = " " * pad_size
    title += "\n"

    if not array:
        return title + indent + "<None>"
    
    array = list(map(str, array)) # make every element a string
    max_item_width = max(map(len, array))

teebu

"""Vigenere cipher"""
import string
from collections import defaultdict
from pprint import pprint


class Vigenere():
    """Vigenere class"""
    def __init__(self, key, message=''):
        self._MATRIX = self._build_matrix()

teebu

// Output Android Icons.jsx
// 2012 Todd Linkner
// License: none (public domain)
// v1.0 - base file by Todd Linkner
// v1.1 - added support for XXHDPI, XXXHDPI and added PNG to the file selector
//
// This script is for Photoshop CS6. It outputs Android icons of the  
// following sizes from a source PSD at least 512px x 512px
//
// store:

teebu

filter {
    grok {
        match => [
            "message", "%{YEAR:year}-%{MONTHNUM:month}-%{MONTHDAY:day}[\t]%{TIME:time}[\t](?<x_edge_location>\b[\w\-]+\b)[\t](?:%{NUMBER:sc_bytes}|-)[\t]%{IPORHOST:clientip}[\t]%{WORD:cs_method}[\t]%{HOSTNAME:cs_host}[\t]%{NOTSPACE:cs_uri_stem}[\t]%{NUMBER:sc_status}[\t]%{GREEDYDATA:referrer}[\t]%{GREEDYDATA:agent}[\t]%{GREEDYDATA:cs_uri_query}[\t]%{GREEDYDATA:cookies}[\t]%{WORD:x_edge_result_type}[\t]%{NOTSPACE:x_edge_request_id}[\t]%{HOSTNAME:x_host_header}[\t]%{GREEDYDATA:cs_protocol}[\t]%{INT:cs_bytes}[\t]%{GREEDYDATA:time_taken}[\t]%{GREEDYDATA:x_forwarded_for}[\t]%{GREEDYDATA:ssl_protocol}[\t]%{GREEDYDATA:ssl_cipher}[\t]%{GREEDYDATA:x_edge_response_result_type}[\t]%{GREEDYDATA:cs_protocol_version}"
        ]
    }
    geoip {
        source => "c_ip"
    }
    mutate {

teebu

#!/bin/bash
IN="$1"
OUT="$2"
PAGES=$(pdfinfo $IN | grep ^Pages: | tr -dc '0-9')
non_blank() {
    for i in $(seq 1 $PAGES)
    do
        # more color spectrum
        #convert -density 46 "$IN[$((i-1))]" -define histogram:unique-colors=true -format %c histogram:info:- | wc -l
        if [ $(convert -density 16 "$IN[$((i-1))]" +dither -colors 8 -depth 4 -define histogram:unique-colors=true -format %c histogram:info:- | wc -l) -ne 1 ]

teebu

'use strict'

const timeout = ms => new Promise(res => setTimeout(res, ms))

function convinceMe (convince) {
  let unixTime = Math.round(+new Date() / 1000)
  console.log(`Delay ${convince} at ${unixTime}`)
}

async function delay () {

teebu

gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=unencrypted.pdf -c .setpdfwrite -f encrypted.pdf

teebu

# A virtualenv running Python3.6 on Amazon Linux/EC2 (approximately) simulates the Python 3.6 Docker container used by Lambda
# and can be used for developing/testing Python 3.6 Lambda functions
# This script installs Python 3.6 on an EC2 instance running Amazon Linux and creates a virtualenv running this version of Python
# This is required because Amazon Linux does not come with Python 3.6 pre-installed 
# and several packages available in Amazon Linux are not available in the Lambda Python 3.6 runtime

# The script has been tested successfully on a t2.micro EC2 instance (Root device type: ebs; Virtualization type: hvm)
# running Amazon Linux AMI 2017.03.0 (HVM), SSD Volume Type - ami-c58c1dd3
# and was developed with the help of AWS Support