code: def test3():
      df = h2o.upload_file(
          pyunit_utils.locate("smalldata/jira/pubdev_2020.csv")
      )
      splits = df.split_frame(ratios=[0.8], seed=0)
      part1 = splits[1]
      value = part1[0, "C1"]
      assert value == 4
      value = part1[1, "C2"]
      assert value == 11
      value = part1[2, "C3"]
      assert value == 22
  
      df = h2o.upload_file(
          pyunit_utils.locate("smalldata/jira/pubdev_2020.csv")
      )
      splits = df.split_frame(ratios=[0.8], seed=0)
      part1 = splits[1]
      value = part1[0, "C1"]
      assert value == 4, value
  
      df = h2o.upload_file(
          pyunit_utils.locate("smalldata/jira/pubdev_2020.csv")
      )
      splits = df.split_frame(ratios=[0.8], seed=0)
      part1 = splits[1]
      value = part1[0, "C1"]
      assert value == 4, value
  
imports: import sys
  import h2o
  from tests import pyunit_utils
label_desc: Use image node_id 3 for calling a global function with example usage: test3() without return types