old_contents: import unittest, time, sys
  sys.path.extend(['.','..','py'])
  import h2o_cmd, h2o, h2o_hosts, h2o_import as h2i
  
  class Basic(unittest.TestCase):
      def tearDown(self):
          h2o.check_sandbox_for_errors()
  
      @classmethod
      def setUpClass(cls):
          h2o_hosts.build_cloud_with_hosts(2,use_flatfile=True)
          h2o.beta_features = True
  
      @classmethod
      def tearDownClass(cls):
          h2o.tear_down_cloud()
  
      def test_A_Basic(self):
          h2o.verify_cloud_size()
  
      def test_B_RF_iris2(self):
          parseResult = h2i.import_parse(bucket='smalldata', path='iris/iris2.csv', schema='put')
          h2o_cmd.runRF(parseResult=parseResult, trees=6, timeoutSecs=10)
  
      def test_C_RF_poker100(self):
          parseResult = h2i.import_parse(bucket='smalldata', path='poker/poker100', schema='put')
          h2o_cmd.runRF(parseResult=parseResult, trees=6, timeoutSecs=10)
  
          SYNDATASETS_DIR = h2o.make_syn_dir()
          # always match the run below!
          for x in xrange (11,100,10):
              # Have to split the string out to list for pipe
              shCmdString = "perl " + h2o.find_file("syn_scripts/parity.pl") + " 128 4 "+ str(x) + " quad " + SYNDATASETS_DIR
              h2o.spawn_cmd_and_wait('parity.pl', shCmdString.split(),timeout=30)
              # the algorithm for creating the path and filename is hardwired in parity.pl..i.e
              csvFilename = "parity_128_4_" + str(x) + "_quad.data"  
  
          trees = 6
          timeoutSecs = 20
          # always match the gen above!
          # reduce to get intermittent failures to lessen, for now
          for x in xrange (11,60,10):
              sys.stdout.write('.')
              sys.stdout.flush()
              csvFilename = "parity_128_4_" + str(x) + "_quad.data"  
              csvPathname = SYNDATASETS_DIR + '/' + csvFilename
              parseResult = h2i.import_parse(path=csvPathname, schema='put')
              h2o_cmd.runRF(parseResult=parseResult, ntrees=trees, timeoutSecs=timeoutSecs)
              trees += 10
  
  if __name__ == '__main__':
      h2o.unit_main()
  
new_contents: import unittest, time, sys
  sys.path.extend(['.','..','py'])
  import h2o_cmd, h2o, h2o_hosts, h2o_import as h2i
  
  class Basic(unittest.TestCase):
      def tearDown(self):
          h2o.check_sandbox_for_errors()
  
      @classmethod
      def setUpClass(cls):
          h2o_hosts.build_cloud_with_hosts(2,use_flatfile=True)
          h2o.beta_features = True
  
      @classmethod
      def tearDownClass(cls):
          h2o.tear_down_cloud()
  
      def test_A_Basic(self):
          h2o.verify_cloud_size()
  
      def test_B_RF_iris2(self):
          parseResult = h2i.import_parse(bucket='smalldata', path='iris/iris2.csv', schema='put')
          h2o_cmd.runRF(parseResult=parseResult, trees=6, timeoutSecs=10)
  
      def test_C_RF_poker100(self):
          parseResult = h2i.import_parse(bucket='smalldata', path='poker/poker100', schema='put')
          h2o_cmd.runRF(parseResult=parseResult, trees=6, timeoutSecs=10)
  
          SYNDATASETS_DIR = h2o.make_syn_dir()
          # always match the run below!
          for x in xrange (11,100,10):
              # Have to split the string out to list for pipe
              shCmdString = "perl " + h2o.find_file("syn_scripts/parity.pl") + " 128 4 "+ str(x) + " quad " + SYNDATASETS_DIR
              h2o.spawn_cmd_and_wait('parity.pl', shCmdString.split(),timeout=30)
              # the algorithm for creating the path and filename is hardwired in parity.pl..i.e
              csvFilename = "parity_128_4_" + str(x) + "_quad.data"  
  
          trees = 6
          timeoutSecs = 60
          # always match the gen above!
          # reduce to get intermittent failures to lessen, for now
          for x in xrange (11,60,10):
              sys.stdout.write('.')
              sys.stdout.flush()
              csvFilename = "parity_128_4_" + str(x) + "_quad.data"  
              csvPathname = SYNDATASETS_DIR + '/' + csvFilename
              parseResult = h2i.import_parse(path=csvPathname, schema='put')
              h2o_cmd.runRF(parseResult=parseResult, ntrees=trees, timeoutSecs=timeoutSecs)
              trees += 10
  
  if __name__ == '__main__':
      h2o.unit_main()
  
subject: Increase timeout from 20 to 60 seconds.