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Generating Synth Patches with AI

First go to https://appcenter.ms/ and create an account
Follow sdk setup steps and implement app center to android project
(https://docs.microsoft.com/en-us/appcenter/sdk/getting-started/android)

dependencies {
    def appCenterSdkVersion = '3.2.1'
 implementation "com.microsoft.appcenter:appcenter-analytics:${appCenterSdkVersion}"

The WSL 2 docker-desktop-data vm disk image would normally reside in: %USERPROFILE%\AppData\Local\Docker\wsl\data\ext4.vhdx

Follow the following to relocate it to other drive/directory, with all existing docker data preserved (tested against Docker Desktop 4.21.1)

First, shut down your docker desktop by right click on the Docker Desktop icon and select Quit Docker Desktop

Then, open your command prompt:

wsl --list -v

	class Player {
	constructor(level = 1, currentXP = 0, totalXP = 0, xpForNextLevel = 100, xpGrowthRate = 1.5) {
	this.level = level;
	this.currentXP = currentXP;
	this.totalXP = totalXP;
	this.xpForNextLevel = xpForNextLevel;
	this.xpGrowthRate = xpGrowthRate;
	}

	addXP(amount) {

	-- Define the Player class
	Player = {}
	Player.__index = Player

	-- Constructor
	function Player:new(level, currentXP, totalXP, xpForNextLevel, xpGrowthRate)
	local obj = {
	level = level or 1,
	currentXP = currentXP or 0,
	totalXP = totalXP or 0,

	-- Define the Player table
	P = {
	l = 1, -- level
	c = 0, -- currentXP
	t = 0, -- totalXP
	n = 100, -- XP for next level
	g = 1.5 -- XP growth rate
	}

	-- Function to add XP to the player

	-- Define the Player table
	Player = {
	level = 1,
	currentXP = 0,
	totalXP = 0,
	xpForNextLevel = 100, -- Initial XP required for level 2
	xpGrowthRate = 1.5 -- How much more XP is needed for each subsequent level
	}

	-- Function to add XP to the player

	-- Define the Player table
	Player = {
	level = 1,
	currentXP = 0,
	totalXP = 0,
	xpForNextLevel = 100, -- Initial XP required for level 2
	xpGrowthRate = 1.5 -- How much more XP is needed for each subsequent level
	}

	-- Function to add XP to the player

	"""
	Simple script to plot your Discord machine-learning predicted age and gender from the data dump.

	To use, simply put this script in your activity/analytics/ folder of your Discord data dump and run it.

	You may need to install matplotlib first:
	pip install -U matplotlib

	thrown together by rebane2001
	"""

	#!/bin/bash

	### steps ####
	# Verify the system has a cuda-capable gpu
	# Download and install the nvidia cuda toolkit and cudnn
	# Setup environmental variables
	# Verify the installation
	###

	### to verify your gpu is cuda enable check