code: def test_datatable_without_datatable():
      # should run to completion
      with local_context(datatable_disabled=True, polars_disabled=True):
          with pyunit_utils.catch_warnings() as ws:
              h2oFrame = h2o.import_file(
                  pyunit_utils.locate(
                      "bigdata/laptop/jira/PUBDEV_5266_merge_with_string_columns/PUBDEV_5266_f1.csv"
                  )
              )
              h2oFrame.as_data_frame()
              assert (
                  not (can_use_datatable() or can_use_polars())
                  or "converting H2O frame to pandas dataframe using single-thread.  For faster conversion using"
              )
              " multi-thread, install datatable (for Python 3.9 or lower), or polars and pyarrow "
              "(for Python 3.10 or above)" in str(ws[0].message)
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.utils.threading import local_context
  from h2o.utils.shared_utils import can_use_datatable, can_use_polars
label_desc: Use image node_id 1 for calling a global function with example usage: test_datatable_without_datatable() without return types