code: def test_to_hdf_path_pathlike():
      pytest.importorskip("tables")
      df = pd.DataFrame(
          {"x": ["a", "b", "c", "d"], "y": [1, 2, 3, 4]},
          index=[1.0, 2.0, 3.0, 4.0],
      )
      ddf = dd.from_pandas(df, npartitions=3)
  
      with tmpfile("h5") as fn:
          path = pathlib.Path(fn)
          ddf.to_hdf(path, "/data")
          res = pd.read_hdf(path, "/data")
          assert_eq(res, ddf)
  
imports: from __future__ import annotations
  import os
  import pathlib
  from time import sleep
  import numpy
  import pandas
  import pytest
  from packaging.version import Version
  import dask
  import dask.dataframe
  from dask._compatibility import PY_VERSION
  from dask.dataframe._compat import tm
  from dask.dataframe.optimize import optimize_dataframe_getitem
  from dask.dataframe.utils import assert_eq
  from dask.layers import DataFrameIOLayer
  from dask.utils import dependency_depth, tmpdir, tmpfile
label_desc: Use image node_id 19 for calling a global function with example usage: test_to_hdf_path_pathlike() without return types