new_contents: from unittest.mock import Mock
  
  import time
  from os.path import expanduser
  
  from tqdm import tqdm
  
  from avalanche.benchmarks import fixed_size_experience_split, SplitMNIST
  from avalanche.training import ReservoirSamplingBuffer
  from avalanche.training import ParametricBuffer
  
  benchmark = SplitMNIST(
      n_experiences=5,
      dataset_root=expanduser("~") + "/.avalanche/data/mnist/",
  )
  
  experience = benchmark.train_stream[0]
  print("len experience: ", len(experience.dataset))
  
  # start = time.time()
  # buffer = ReservoirSamplingBuffer(100)
  # for exp in tqdm(fixed_size_experience_split(experience, 1)):
  #     buffer.update_from_dataset(exp.dataset)
  #
  # end = time.time()
  # duration = end - start
  # print("ReservoirSampling Duration: ", duration)
  
  
  start = time.time()
  buffer = ParametricBuffer(100)
  for exp in tqdm(fixed_size_experience_split(experience, 1)):
      buffer.update(Mock(experience=exp, dataset=exp.dataset))
  
  end = time.time()
  duration = end - start
  print("ParametricBuffer (random sampling) Duration: ", duration)
  
subject: ADD profiling script for replay buffer (OCL benchmarking)