code: def testLoadWithCustomReaderFunc(
      self, num_workers, snapshot_max_chunk_size_bytes
  ):
      cluster = data_service_test_base.TestCluster(
          num_workers=num_workers,
          snapshot_max_chunk_size_bytes=snapshot_max_chunk_size_bytes,
      )
      snapshot_dir = data_service_test_base.TempDir()
      dataset = dataset_ops.Dataset.range(10)
      self.evaluate(
          distributed_save_op.distributed_save(
              dataset,
              snapshot_dir.full_path,
              cluster.dispatcher_address(),
          )
      )
      _wait_for_snapshot(snapshot_dir.full_path)
  
      def custom_reader_func(datasets):
          datasets = datasets.shuffle(3)
          return datasets.interleave(
              lambda x: x, num_parallel_calls=dataset_ops.AUTOTUNE
          )
  
      dataset = dataset_ops.Dataset.load(
          snapshot_dir.full_path, reader_func=custom_reader_func
      )
      self.assertDatasetProduces(
          dataset, list(range(10)), assert_items_equal=True
      )
  
imports: import os
  import time
  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.experimental.service import _pywrap_snapshot_utils
  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.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the DistributedSaveTest obj's underlying member method code with example usage: obj.testLoadWithCustomReaderFunc(num_workers, snapshot_max_chunk_size_bytes) and returns: datasets