code: def __init__(self, data, targets, transform=None):
      self.data = data
      self.targets = torch.LongTensor(targets)
      self.transform = transform
  
imports: from PIL import Image
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision.transforms
  from torch.utils.data import Dataset, DataLoader
  from torch.optim.lr_scheduler import MultiStepLR
  from art.estimators.classification import PyTorchClassifier
  from art.data_generators import PyTorchDataGenerator
  from art.defences.trainer import AdversarialTrainerTRADESPyTorch
  from art.utils import load_cifar10
  from art.attacks.evasion import ProjectedGradientDescent
label_desc: Use image node_id 1 to create a new CIFAR10_dataset object from inherited base classes: Dataset with example: obj = CIFAR10_dataset(data, targets, transform)