code: def __init__(self, batches):
      self.batches = batches
  
imports: import itertools
  import logging
  import random
  from functools import partial
  from typing import Any, Sequence, Union
  import numpy
  import torch
  from torch.utils.data import DataLoader
  from typeguard import check_argument_types
  from espnet2.iterators.abs_iter_factory import AbsIterFactory
  from espnet2.samplers.abs_sampler import AbsSampler
  from espnet2.samplers.category_balanced_sampler import CategoryBalancedSampler
label_desc: Use image node_id 1 to create a new RawSampler object from inherited base classes: AbsSampler with example: obj = RawSampler(batches)