code: def __init__(
      self, num_samples, size_bytes, random_reads, n, compiled
  ):
      self.num_samples = num_samples
      self.size_bytes = size_bytes
      self.random_reads = random_reads
      self.n = n
      self.compiled = compiled
  
imports: import os
  from tempfile import NamedTemporaryFile
  from time import sleep, time
  import numpy
  from tqdm import tqdm
  from assertpy import assert_that
  from torch.utils.data import Dataset
  from ffcv.writer import DatasetWriter
  from ffcv.reader import Reader
  from ffcv.fields import BytesField, IntField
  from ffcv.pipeline.compiler import Compiler
  from ffcv.memory_managers import OSCacheManager
  from ffcv.libffcv import memcpy
  from ..decorator import benchmark
  from ..benchmark import Benchmark
label_desc: Use image node_id 1 to create a new MemoryReadBytesBench object from inherited base classes: Benchmark with example: obj = MemoryReadBytesBench(num_samples, size_bytes, random_reads, n, compiled)