code: def test_arff_parser_column_skip():
      # generate a big frame with all datatypes and save it to svmlight
      nrow = 10000
      ncol = 20
      seed = 12345
      frac1 = 0.16
      frac2 = 0.2
      f1 = h2o.create_frame(
          rows=nrow,
          cols=ncol,
          real_fraction=frac1,
          categorical_fraction=frac1,
          integer_fraction=frac1,
          binary_fraction=frac1,
          time_fraction=frac1,
          string_fraction=frac2,
          missing_fraction=0.1,
          has_response=False,
          seed=seed,
      )
      uuidVecs = [
          pyunit_utils.gen_random_uuid(nrow),
          pyunit_utils.gen_random_uuid(nrow),
      ]  # generate the uuid vectos
      tmpdir = os.path.normpath(
          os.path.join(
              os.path.dirname(os.path.realpath("__file__")),
              "..",
              "results",
          )
      )
      if not (os.path.isdir(tmpdir)):
          os.mkdir(tmpdir)
      savefilenamewithpath = os.path.join(tmpdir, "out.arff")
      uuidNames = ["uuidVec1", "uuidVec2"]
      pyunit_utils.write_H2OFrame_2_ARFF(
          savefilenamewithpath, "out.arff", f1, uuidVecs, uuidNames
      )  # write h2o frame to svm format
  
      ncol = f1.ncol + len(uuidVecs)
      skip_all = list(range(ncol))
      skip_even = list(range(0, ncol, 2))
      skip_odd = list(range(1, ncol, 2))
      skip_start_end = [0, ncol - 1]
      skip_except_last = list(range(0, ncol - 2))
      skip_except_first = list(range(1, ncol))
      temp = list(range(0, ncol))
      random.shuffle(temp)
      skip_random = []
      for index in range(0, ncol // 2):
          skip_random.append(temp[index])
      skip_random.sort()
  
      try:
          h2o.upload_file(
              savefilenamewithpath, skipped_columns=skip_all
          )
          assert (
              False
          ), "Test should have thrown an exception due to all columns are skipped"  # should have failed here
      except:
          pass
  
      try:
          h2o.import_file(
              savefilenamewithpath, skipped_columns=skip_all
          )
          assert (
              False
          ), "Test should have thrown an exception due to all columns are skipped"  # should have failed here
      except:
          pass
  
      # skip even columns
      checkCorrectSkips(f1, savefilenamewithpath, skip_even, uuidNames)
  
      # skip odd columns
      checkCorrectSkips(f1, savefilenamewithpath, skip_odd, uuidNames)
  
      # skip the very beginning and the very end.
      checkCorrectSkips(
          f1, savefilenamewithpath, skip_start_end, uuidNames
      )
  
      # skip all except the last column
      checkCorrectSkips(
          f1, savefilenamewithpath, skip_except_last, uuidNames
      )
  
      # skip all except the very first column
      checkCorrectSkips(
          f1, savefilenamewithpath, skip_except_first, uuidNames
      )
  
      # randomly skipped half the columns
      checkCorrectSkips(
          f1, savefilenamewithpath, skip_random, uuidNames
      )
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  import os
  import datetime
  import random
label_desc: Use image node_id 1 for calling a global function with example usage: test_arff_parser_column_skip() without return types