code: def __init__(self, length, height, width, reversed=False):
      self.length = length
      self.height = height
      self.width = width
      self.reversed = reversed
  
imports: import numpy
  import torch
  from torch.utils.data import Dataset
  from assertpy import assert_that
  from tempfile import NamedTemporaryFile
  from torchvision.datasets import CIFAR10
  from torch.utils.data import Subset
  from ffcv.writer import DatasetWriter
  from ffcv.fields import IntField, RGBImageField
  from ffcv.loader import Loader
  from ffcv.pipeline.compiler import Compiler
label_desc: Use image node_id 1 to create a new DummyDataset object from inherited base classes: Dataset with example: obj = DummyDataset(length, height, width, reversed)