code: def import_folder():
      tol_time = 200  # comparing in ms or ns
      tol_numeric = 1e-5  # tolerance for comparing other numeric fields
      numElements2Compare = 0  # choose number of elements per column to compare.  Save test time.
  
      multi_file_csv1 = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/orc/synthetic_perfect_seperation_csv/balunbal.csv"
          )
      )
      multi_file_csv2 = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/orc/synthetic_perfect_seperation_csv/unbalbal.csv"
          )
      )
      multi_file_orc = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/orc/synthetic_perfect_separation"
          )
      )
  
      # make sure orc multi-file and single big file create same H2O frame
      try:
          assert pyunit_utils.compare_frames(
              multi_file_orc,
              multi_file_csv1,
              numElements2Compare,
              tol_time,
              tol_numeric,
              True,
          ), "H2O frame parsed from multiple orc and single orc files are different!"
      except:
          assert pyunit_utils.compare_frames(
              multi_file_orc,
              multi_file_csv2,
              numElements2Compare,
              tol_time,
              tol_numeric,
              True,
          ), "H2O frame parsed from multiple orc and single orc files are different!"
  
label_desc: Use image node_id 1 for calling a global function with example usage: import_folder() without return types