branislav1991

import io
import numpy as np
from PIL import Image
import tensorflow as tf

class Tensorboard:
    def __init__(self, logdir):
        self.writer = tf.summary.FileWriter(logdir)

    def close(self):

branislav1991

import codecs
import errno
import matplotlib.pyplot as plt
import numpy as np
import os
from PIL import Image
import random
import torch
from torch import nn
from torch import optim

branislav1991

import h5py
import helpers
import numpy as np
from pathlib import Path
import torch
from torch.utils import data

class HDF5Dataset(data.Dataset):
    """Represents an abstract HDF5 dataset.
    

branislav1991

from torch.utils import data

num_epochs = 50
loader_params = {'batch_size': 100, 'shuffle': True, 'num_workers': 6}

dataset = HDF5Dataset('C:/ml/data', recursive=True, load_data=False, 
   data_cache_size=4, transform=None)

data_loader = data.DataLoader(dataset, **loader_params)

branislav1991

class Player
{
public:
    Player() {}
    
    void interactWith(Door *door)
    {
        if (door)
        {
            door->toggleOpen();

branislav1991

class Door
{
public:
    Door() {}
    void toggleOpen() 
    {
        // Open or close the door
        m_open = !m_open;
        if (m_open)
        {

branislav1991

class InteractiveObject
{
public:
    virtual void interact() = 0;
    virtual ~InteractiveObject() = default;
};

branislav1991

class Door : public InteractiveObject
{
public:
    Door() {}
    void interact() override
    {
        // Open or close the door
        m_open = !m_open;
        if (m_open)
        {

branislav1991

class Player
{
public:
    Player() {}
    
    void interactWith(InteractiveObject *obj)
    {
        if (obj)
        {
            obj->interact();

branislav1991

class Player
{
public:
    Player() {}
    
    template <typename InteractiveObject>
    void interactWith(InteractiveObject *obj)
    {
        if (obj)
        {