code: def __iter__(self):
      nt = namedtuple("row", ["test"])
      batch = nt(
          np.random.rand(self.batch, self.dim).astype(np.float32)
      )
      while True:
          yield batch
  
file_path: petastorm/petastorm/benchmark/dummy_reader.py
imports: from __future__ import print_function
  from __future__ import division
  import time
  import numpy
  from petastorm.pytorch import BatchedDataLoader, DataLoader
  from collections import namedtuple
  import torch
  from functools import partial
  import sys
label_desc: Use image node_id 5 for calling the DummyReader obj's underlying member method code with example usage: obj.__iter__() without return types