old_contents: from avalanche import benchmarks
  from avalanche import evaluation
  from avalanche import logging
  from avalanche import models
  from avalanche import training
  
  
  __version__ = "0.2.0a"
  
  _dataset_add = None
  
  
  def _avdataset_radd(self, other, *args, **kwargs):
      from avalanche.benchmarks.utils import AvalancheClassificationDataset
  
      global _dataset_add
      if isinstance(other, AvalancheClassificationDataset):
          return NotImplemented
  
      return _dataset_add(self, other, *args, **kwargs)
  
  
  def _avalanche_monkey_patches():
      from torch.utils.data.dataset import Dataset
  
      global _dataset_add
      _dataset_add = Dataset.__add__
      Dataset.__add__ = _avdataset_radd
  
  
  _avalanche_monkey_patches()
  
new_contents: from avalanche import benchmarks
  from avalanche import evaluation
  from avalanche import logging
  from avalanche import models
  from avalanche import training
  
  
  __version__ = "0.2.0a"
  
  _dataset_add = None
  
  
  def _avdataset_radd(self, other, *args, **kwargs):
      from avalanche.benchmarks.utils import AvalancheDataset
  
      global _dataset_add
      if isinstance(other, AvalancheDataset):
          return NotImplemented
  
      return _dataset_add(self, other, *args, **kwargs)
  
  
  def _avalanche_monkey_patches():
      from torch.utils.data.dataset import Dataset
  
      global _dataset_add
      _dataset_add = Dataset.__add__
      Dataset.__add__ = _avdataset_radd
  
  
  _avalanche_monkey_patches()
  
subject: FIX _avdataset_radd