code: def test_context(setup_path):
      with tm.ensure_clean(setup_path) as path:
          try:
              with HDFStore(path) as tbl:
                  raise ValueError("blah")
          except ValueError:
              pass
      with tm.ensure_clean(setup_path) as path:
          with HDFStore(path) as tbl:
              tbl["a"] = DataFrame(
                  1.1 * np.arange(120).reshape((30, 4)),
                  columns=Index(list("ABCD"), dtype=object),
                  index=Index(
                      [f"i-{i}" for i in range(30)], dtype=object
                  ),
              )
              assert len(tbl) == 1
              assert type(tbl["a"]) == DataFrame
  
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 1 for calling a global function with example usage: test_context(setup_path) without return types