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const assert = require("assert").strict;
const child_process = require("child_process");
const path = require("path");
const crypto = require("crypto");
const glob = require("glob");
const fs = require("fs-extra");
const _ = require("lodash");
const sort = require("alphanum-sort");
const Kuroshiro = require("kuroshiro");
const KuromojiAnalyzer = require("kuroshiro-analyzer-kuromoji");

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FFmpeg cheat sheet

A list of useful commands for the ffmpeg command line tool.

Download FFmpeg: https://www.ffmpeg.org/download.html

Full documentation: https://www.ffmpeg.org/ffmpeg.html

Basic conversion

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>Ansi 0 Color</key>
	<dict>
		<key>Color Space</key>
		<string>sRGB</string>
		<key>Blue Component</key>
		<real>0.25882352941176473</real>

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Obfuscating Python

Obfuscation isn't difficult in most programming languages. It's why we have "good practices" because it is so easy to hide what you mean in badly written code.

Obfuscation tends to be even easier in dynamic languages because of how forgiving they tend to be - and because they tend to give you direct access to the environment so that you can manipulate it.

Today, for fun, I'm going to obfuscate this code:

def _(n):

if n <= 0:

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#!/bin/bash

## **Updates to this file are now at https://github.com/giovtorres/kvm-install-vm.**
## **This updated version has more options and less hardcoded variables.**

# Take one argument from the commandline: VM name
if ! [ $# -eq 1 ]; then
    echo "Usage: $0 <node-name>"
    exit 1
fi

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brew unlink thrift
brew install https://raw.githubusercontent.com/Homebrew/homebrew-core/9d524e4850651cfedd64bc0740f1379b533f607d/Formula/thrift.rb

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Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm

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How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

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