-i
- ignore errors
-c
- continue
-t
- use video title as file name
--extract-audio
- extract audio track
"""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() |
// 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: |
#!/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 ] |
#!/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 |
'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 () { |
gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=unencrypted.pdf -c .setpdfwrite -f encrypted.pdf |
# 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 |
Set env variables in travis.yml: | |
``` | |
export SENTRY_AUTH_TOKEN=... | |
export SENTRY_ORG=organization-slug | |
``` | |
update_sentry.sh: | |
``` |
const async = require('async'); | |
const download = require('download'); | |
const fs = require('fs-extra'); | |
const RavenLambdaWrapper = require('serverless-sentry-lib'); | |
const Raven = require('raven') | |
// Wrap handler for automated error and exception logging | |
const ravenConfig = { | |
filterLocal: false, | |
captureErrors: true, // Don't log error responses from the Lambda ... |