code: def test_skip_batch_sampler(self):
      batch_sampler = BatchSampler(
          range(16), batch_size=4, drop_last=False
      )
      new_batch_sampler = SkipBatchSampler(batch_sampler, 2)
      self.assertListEqual(
          list(new_batch_sampler), [[8, 9, 10, 11], [12, 13, 14, 15]]
      )
  
imports: import random
  import unittest
  from torch.utils.data import BatchSampler, DataLoader, IterableDataset
  from accelerate import Accelerator
  from accelerate.data_loader import BatchSamplerShard, DataLoaderDispatcher, DataLoaderShard, IterableDatasetShard, SkipBatchSampler, SkipDataLoader, skip_first_batches
label_desc: Use image node_id 9 for calling the DataLoaderTester obj's underlying member method code with example usage: obj.test_skip_batch_sampler() without return types