class_docstr: A dataset for listing snapshot chunk files.
  
  It supports listing partially written snapshots. When a snapshot is being
  written, it returns the currently available chunk files.
class_docstr_tok: ["A","dataset","for","listing","snapshot","chunk","files",".","It","supports","listing","partially","written","snapshots",".","When","a","snapshot","is","being","written",",","it","returns","the","currently","available","chunk","files","."]
code: def element_spec(self) -> tensor_spec.TensorSpec:
      return tensor_spec.TensorSpec([], dtypes.string)
  
imports: import multiprocessing
  import os
  import time
  from typing import Optional
  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 2 for calling the _ListSnapshotChunksDataset obj's underlying member method code with example usage: obj.element_spec() and returns: tensor_spec