code: def single_thread_pandas_conversion(dataset):
      with local_context(datatable_disabled=True, polars_disabled=True):
          print(
              "converting h2o frame to pandas frame using single thread"
          )
          h2oFrame = h2o.import_file(pyunit_utils.locate(dataset))
          startT = time.time()
          h2oframe_panda = h2oFrame.as_data_frame()
          newTime = time.time() - startT
          print(
              "H2O frame to Pandas frame conversion time with single thread for dataset {1}: {0}".format(
                  newTime, dataset
              )
          )
          return h2oframe_panda
  
file_path: h2o-3/h2o-py/tests/testdir_misc/pyunit_gh_15729_15936_datatable_polars_2_pandas_large.py
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.utils.shared_utils import can_use_datatable, can_use_polars, can_use_pyarrow, can_install_datatable, can_install_polars
  import time
  from h2o.utils.threading import local_context
label_desc: Use image node_id 2 for calling a global function with example usage: single_thread_pandas_conversion(dataset) and returns: h2oframe_panda