code: def __init__(self, n_samples):
      self.n_samples = n_samples
  
imports: import string
  from ctypes import pointer
  from tempfile import NamedTemporaryFile
  from collections import defaultdict
  from multiprocessing import cpu_count
  from assertpy import assert_that
  import numpy
  from torch.utils.data import Dataset
  from ffcv import DatasetWriter
  from ffcv.fields import IntField, JSONField
  from ffcv.fields.bytes import BytesDecoder
  from ffcv.fields.basics import IntDecoder
  from ffcv import Loader
label_desc: Use image node_id 1 to create a new DummyDictDataset object from inherited base classes: Dataset with example: obj = DummyDictDataset(n_samples)