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async function train(trainingPath)
{ 
  const training = await getTrainingDataInBatches(trainingPath);

  let model;

  if (training[0].index > 0){
    model = await tf.loadLayersModel(`file://./training/${training[0].index-1}/model.json`);
  }
  else {

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int main(int argc, char* argv[])
{
	if (!init()) return 1;

	world.load();
	player.load();

	// launch game logic loop on a seperate thread
	// this will handle update logic, animations, collision detection, etc
	// and will run on a seperate CPU core than the main UI thread

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/*
 Name:		espresso_test.ino
 Created:	3/15/2019 8:21:00 PM
 Author:	dss
*/

#include <espresso.h>

void setup() {
	espresso_setup();

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@import 'https://fonts.googleapis.com/css?family=Open+Sans';

body {
	font-family: 'Open Sans', sans-serif;
	line-height: 1.75em;
	font-size: 16px;
	background-color: #222;
	color: #aaa;
	padding: 15px;
}

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public class DataCube<T> {

	public DataCube(int width, int height, int depth){
		this.width = width;
		this.height = height;
		this.depth = depth;
		size3d = width*height*depth;
		size2d = width*height;
		data = new T[size3d];
	}

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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

public class Allocate
{
    public static T[][][] Array3D<T>(int width, int height, int depth)
    {

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/// <summary>
/// Implement when you are not sure which interface to use
/// </summary>
public interface IDontKnow
{
}

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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using UnityEngine;

/// <summary>
/// Base Component Class - Allows declaration of any component with a listener interface
/// </summary>
/// <typeparam name="TListenerInterface"></typeparam>