code: def _load_distributed_snapshot(
      path: str,
      metadata: snapshot_pb2.DistributedSnapshotMetadata,
      reader_func: Callable[[dataset_ops.Dataset], dataset_ops.Dataset],
  ) -> dataset_ops.Dataset:
      """Loads a distributed snapshot."""
  
      dataset = _ListSnapshotChunksDataset(path)
      dataset = dataset.map(
          lambda chunk_file: _SnapshotChunkDataset(  # pylint:disable=g-long-lambda
              chunk_file,
              element_spec=_parse_element_spec(metadata.element_spec),
              compression=metadata.compression,
          )
      )
      return reader_func(dataset)
  
imports: import multiprocessing
  import os
  import time
  from typing import Any, Callable, Optional, Union
  from absl import logging
  from google.protobuf import message
  from google.protobuf import text_format
  from tensorflow.core.protobuf import snapshot_pb2
  from tensorflow.python.data.experimental.service import _pywrap_snapshot_utils
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import structured_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.saved_model import nested_structure_coder
label_desc: Use image node_id 4 for calling a global function with example usage: _load_distributed_snapshot(path, metadata, reader_func) and returns: reader_func