code: def import_folder():
      tol_time = 200  # comparing in ms or ns
      tol_numeric = 1e-5  # tolerance for comparing other numeric fields
      numElements2Compare = 100  # choose number of elements per column to compare.  Save test time.
  
      # compressed the whole directory of files.
      multi_file_gzip_comp = h2o.import_file(
          path=pyunit_utils.locate(
              "bigdata/laptop/parser/hexdev_497/milsongs_csv.zip"
          )
      )
  
      # directory containing the gzip version of csv files here.
      multi_file_csv = h2o.import_file(
          path=pyunit_utils.locate(
              "bigdata/laptop/parser/hexdev_497/milsongs_csv_gzip"
          )
      )
  
      try:
          # make sure the two agrees
          assert pyunit_utils.compare_frames(
              multi_file_csv,
              multi_file_gzip_comp,
              numElements2Compare,
              tol_time,
              tol_numeric,
              True,
          ), (
              "H2O frame parsed from multiple orc and single orc "
              "files are different!"
          )
      except:  # in case the files are listed differently, we can always just check to see if the summary agrees.
          multi_file_gzip_comp.summary()
          zip_summary = h2o.frame(multi_file_gzip_comp.frame_id)[
              "frames"
          ][0]["columns"]
  
          multi_file_csv.summary()
          csv_summary = h2o.frame(multi_file_csv.frame_id)["frames"][0][
              "columns"
          ]
          pyunit_utils.compare_frame_summary(zip_summary, csv_summary)
  
label_desc: Use image node_id 1 for calling a global function with example usage: import_folder() without return types