code: def deserialize(self) -> "ParquetFileFragment":
      # Implicitly trigger S3 subsystem initialization by importing
      # pyarrow.fs.
      import pyarrow.fs  # noqa: F401
  
      (
          file_format,
          path,
          filesystem,
          partition_expression,
      ) = cloudpickle.loads(self._data)
      return file_format.make_fragment(
          path, filesystem, partition_expression
      )
  
imports: import logging
  from typing import TYPE_CHECKING, Any, Callable, Dict, Iterator, List, Literal, Optional, Union
  import numpy
  import ray
  import ray.cloudpickle
  from ray.data._internal.progress_bar import ProgressBar
  from ray.data._internal.remote_fn import cached_remote_fn
  from ray.data._internal.util import _check_pyarrow_version, _is_local_scheme
  from ray.data.block import Block
  from ray.data.context import DataContext
  from ray.data.datasource import Datasource
  from ray.data.datasource._default_metadata_providers import get_generic_metadata_provider
  from ray.data.datasource.datasource import ReadTask
  from ray.data.datasource.file_meta_provider import DefaultParquetMetadataProvider, ParquetMetadataProvider, _handle_read_os_error
  from ray.data.datasource.partitioning import PathPartitionFilter
  from ray.data.datasource.path_util import _has_file_extension, _resolve_paths_and_filesystem
  from ray.util.annotations import PublicAPI
label_desc: Use image node_id 2 for calling the _SerializedFragment obj's underlying member method code with example usage: obj.deserialize() and returns: file_format