code: def test_to_hdf_kwargs():
      pytest.importorskip("tables")
      df = pd.DataFrame({"A": ["a", "aaaa"]})
      ddf = dd.from_pandas(df, npartitions=2)
      with tmpfile("h5") as fn:
          ddf.to_hdf(fn, "foo4", format="table", min_itemsize=4)
          df2 = pd.read_hdf(fn, "foo4")
          tm.assert_frame_equal(df, df2)
  
      # test shorthand 't' for table
      with tmpfile("h5") as fn:
          ddf.to_hdf(fn, "foo4", format="t", min_itemsize=4)
          df2 = pd.read_hdf(fn, "foo4")
          tm.assert_frame_equal(df, df2)
  
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 10 for calling a global function with example usage: test_to_hdf_kwargs() without return types