code: def test_skip_first_repetition(
      self,
      verify_fn: Callable[..., None],
      num_workers: int,
      num_elements: int,
      num_repetitions: int,
      max_chunk_size_bytes: int,
  ):
      cluster = data_service_test_base.TestCluster(
          num_workers=num_workers,
          snapshot_max_chunk_size_bytes=max_chunk_size_bytes,
      )
      snapshot_dir = data_service_test_base.TempDir()
      dataset = dataset_ops.Dataset.range(num_elements)
      self.evaluate(
          distributed_save_op.distributed_save(
              dataset,
              snapshot_dir.full_path,
              cluster.dispatcher_address(),
          )
      )
  
      def _build_ds() -> dataset_ops.Dataset:
          dataset = load_op._load_with_retry(snapshot_dir.full_path)
          dataset = dataset.repeat(num_repetitions)
          # Skips the first repetition. The remaining repetitions should be
          # deterministic.
          dataset = dataset.skip(num_elements)
          return dataset
  
      verify_fn(
          self,
          _build_ds,
          num_outputs=num_elements * (num_repetitions - 1),
          assert_items_equal=False,
      )
  
imports: import multiprocessing
  import os
  import threading
  import time
  from typing import Callable, Optional
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.kernel_tests.service import test_base
  from tensorflow.python.data.experimental.ops import data_service_ops
  from tensorflow.python.data.experimental.ops import distributed_save_op
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import load_op
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the SaveLoadCheckpointTest obj's underlying member method code with example usage: obj.test_skip_first_repetition(verify_fn, num_workers, num_elements, num_repetitions, max_chunk_size_bytes) and returns: dataset