code: def generate(self, seed):
      return list(self.batches)
  
file_path: espnet/espnet2/iterators/sequence_iter_factory.py
imports: import itertools
  import random
  from functools import partial
  from typing import Any, Sequence, Union
  import numpy
  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
label_desc: Use image node_id 4 for calling the RawSampler obj's underlying member method code with example usage: obj.generate(seed) and returns: list