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Complete Recent Discord Quest

How to use this script:

Accept the quest under User Settings -> Gift Inventory
Join a vc
Stream any window (can be notepad or something)
Press Ctrl+Shift+I to open DevTools
Go to the Console tab
Paste the following code and hit enter:

let wpRequire;

How to "Schedule Automatic Backups" of your Google Sheets

This tutorial demonstrates how to use Google Apps Script to:

Create copies of the Google Sheet in the desired destination folder automatically at set intervals.
Append the time stamp with each backup file's name.
Adjust time trigger for backing up every day/hour/minute.

You can find usages in the GDScript Unirest plugin

This is a fast serializer/deserializer written in GDScript to convert a JSON (Dictionary) to a class, using something similar to the Reflection concecpt. json_to_class can be used to convert a Dictionary to a Class. All keys in the Dictionary will be treated as variables and their types will be guessed in the best way possible. A class (defined by the class_name keyword) must extend Reference or Object or be an inner class, or else Godot will not able to see its properties. It is also possible to deserialize a JSON key to a class property with a different name using the export hint as a variable name.

example usage:

	"""
	In this script, we demonstrate how to use DINOBot to do one-shot imitation learning.
	You first need to install the following repo and its requirements: https://github.com/ShirAmir/dino-vit-features.
	You can then run this file inside that repo.

	There are a few setup-dependent functions you need to implement, like getting an RGBD observation from the camera
	or moving the robot, that you will find on top of this file.
	"""
	import torch
	import numpy as np

	"""
	In this script, we demonstrate how to use DINOBot to do one-shot imitation learning.
	You first need to install the following repo and its requirements: https://github.com/ShirAmir/dino-vit-features.
	You can then run this file inside that repo.

	There are a few setup-dependent functions you need to implement, like getting an RGBD observation from the camera
	or moving the robot, that you will find on top of this file.
	"""
	import torch
	import numpy as np

	using UnityEngine;
	using UnityEditor;
	using System.Collections.Generic;
	using System.IO;

	public class BatchExtractMaterials : EditorWindow
	{
	private enum ExtractMode { Extract = 0, Remap = 1, Ignore = 2 };

	[System.Serializable]

	version: "3.4"

	services:
	ros-rviz:
	build:
	context: .
	dockerfile: Dockerfile
	image: rviz_container:melodic
	container_name: rviz_test
	network_mode: "host"

	local TICKRATE = 1/60

	function love.update(dt)
	end

	function love.draw(dt)
	end

	function love.run()
	if love.math then

	# Docker compose to set up containers for all services you need:
	# VPN
	# Sonarr, Radarr, Lidarr, Qbittorrent
	# Non-VPN
	# Plex, get_iplayer
	# Before running docker-compose, you should pre-create all of the following folders.
	# Folders for Docker State:
	# /volume1/dockerdata. - root where this docker-compose.yml should live
	# /volume1/dockerdata/plex - Plex config and DB
	# /volume1/dockerdata/sonarr - Sonarr config and DB

	from __future__ import annotations

	from typing import (
	Any,
	Awaitable,
	Callable,
	Iterable,
	Literal,
	Mapping,
	ParamSpec,