code: def _pd_to_hdf(pd_to_hdf, lock, args, kwargs=None):
      """A wrapper function around pd_to_hdf that enables locking"""
  
      if lock:
          lock.acquire()
      try:
          pd_to_hdf(*args, **kwargs)
      finally:
          if lock:
              lock.release()
  
      return None
  
imports: from __future__ import annotations
  import os
  import uuid
  from fnmatch import fnmatch
  from glob import glob
  from warnings import warn
  import pandas
  from fsspec.utils import build_name_function, stringify_path
  from tlz import merge
  from dask import config
  from dask.base import compute_as_if_collection, get_scheduler, named_schedulers, tokenize
  from dask.dataframe.backends import dataframe_creation_dispatch
  from dask.dataframe.core import DataFrame, Scalar
  from dask.dataframe.io.io import _link, from_map
  from dask.dataframe.io.utils import DataFrameIOFunction, SupportsLock
  from dask.highlevelgraph import HighLevelGraph
  from dask.utils import get_scheduler_lock
  from dask.dataframe.core import _Frame
label_desc: Use image node_id 1 for calling a global function with example usage: _pd_to_hdf(pd_to_hdf, lock, args, kwargs) and returns: None