code: def __getitem__(self, index):
      if index >= self.length:
          raise IndexError
  
      np.random.seed(37 + index)
      dims = tuple([128, 128, 3])
      image_data = np.random.randint(
          low=0, high=255, size=dims, dtype="uint8"
      )
      return index, image_data
  
imports: import numpy
  from tqdm import tqdm
  from assertpy import assert_that
  from torch.utils.data import Dataset
  import logging
  from time import time
  import os
  from assertpy import assert_that
  from tempfile import NamedTemporaryFile
  from ffcv.writer import DatasetWriter
  from ffcv.reader import Reader
  from ffcv.fields import IntField, RGBImageField
  from ffcv.pipeline.compiler import Compiler
  from ffcv.memory_managers import OSCacheManager
label_desc: Use image node_id 3 for calling the DummyDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: index,  image_data