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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

Prerequisite

sudo apt update
sudo apt install software-properties-common -y

Add custom APT repository

You can find explanation here: https://stackoverflow.com/questions/71716646/golang-calculate-address-of-another-process-memory-based-on-process-handle-and-o/72674927#72674927 This is actually my answer posted by my friend because SO doesn't allow you to reclaim your own bounty :)

It's not perfect because I don't know Go and you can definetely replace windows.OpenProcess with kernel32.OpenProcess but I'm too tired to experiment. It just works!

Also keep in mind that this code only works if you have running TJoC:R game running, because I was writing it for my trainer . You should change process name and addresses if you know how to do that. Otherwise, feel free to copy any part of code and use it.

In computing, memoization or memoisation
is an optimization technique used primarily
to speed up computer programs by storing
the results of expensive function calls and
returning the cached result when the same
inputs occur again.
— wikipedia

	def convert_openssh_key_to_xml(key, verbose=False):
	"""Convert Public Key to XML format for C# usage.

	See http://stackoverflow.com/a/13104466 for details.

	.. code-block: python

	>>> public_key = "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDz[...]"
	>>> xml_public_key = convert_openssh_key_to_xml(public_key, verbose=True)
	>>> print(xml_public_key)

	package docker

	import (
	"context"
	"io"

	"github.com/ory/dockertest"
	"github.com/ory/dockertest/docker"
	)

	/*

	Mesh Simplification
	(C) by Sven Forstmann in 2014

	derived from: https://github.com/sp4cerat/Fast-Quadric-Mesh-Simplification
	and: https://github.com/timknip/mesh-decimate/blob/master/src/simplify.js

	License : MIT
	http://opensource.org/licenses/MIT

	using System;
	using System.IO;
	using System.Linq;
	using System.Collections;
	using System.Collections.Generic;

	using UnityEngine;
	using UnityEngine.SceneManagement;
	using UnityEngine.AI;

	Shader "Name" {

	Properties {

	_Name ("display name", Range (min, max)) = number
	_Name ("display name", Float) = number
	_Name ("display name", Int) = number
	_Name ("display name", Color) = (number,number,number,number)
	_Name ("display name", Vector) = (number,number,number,number)