code: def test_to_hdf_with_min_itemsize(tmp_path, setup_path):
      path = tmp_path / setup_path
  
      # min_itemsize in index with to_hdf (GH 10381)
      df = DataFrame(
          {
              "A": [0.0, 1.0, 2.0, 3.0, 4.0],
              "B": [0.0, 1.0, 0.0, 1.0, 0.0],
              "C": Index(
                  ["foo1", "foo2", "foo3", "foo4", "foo5"], dtype=object
              ),
              "D": date_range("20130101", periods=5),
          }
      ).set_index("C")
      df.to_hdf(
          path, key="ss3", format="table", min_itemsize={"index": 6}
      )
      # just make sure there is a longer string:
      df2 = df.copy().reset_index().assign(C="longer").set_index("C")
      df2.to_hdf(path, key="ss3", append=True, format="table")
      tm.assert_frame_equal(read_hdf(path, "ss3"), concat([df, df2]))
  
      # same as above, with a Series
      df["B"].to_hdf(
          path, key="ss4", format="table", min_itemsize={"index": 6}
      )
      df2["B"].to_hdf(path, key="ss4", append=True, format="table")
      tm.assert_series_equal(
          read_hdf(path, "ss4"), concat([df["B"], df2["B"]])
      )
  
imports: import contextlib
  import datetime
  import hashlib
  import tempfile
  import time
  import numpy
  import pytest
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, MultiIndex, Series, Timestamp, concat, date_range, period_range, timedelta_range
  import pandas._testing
  from pandas.tests.io.pytables.common import _maybe_remove, ensure_clean_store
  from pandas.io.pytables import HDFStore, read_hdf
label_desc: Use image node_id 11 for calling a global function with example usage: test_to_hdf_with_min_itemsize(tmp_path, setup_path) without return types