code: def pubdev_5174():
      x = h2o.import_file(
          pyunit_utils.locate("smalldata/jira/PUBDEV-5174.csv"),
          header=1,
      )
  
      tt = x["rr"].unique()
      gg = tt[:10000, 0]
  
      ww = x[~x["rr"].isin(gg["C1"].as_data_frame()["C1"].tolist())]
  
      print(x.nrow)
      print(tt.nrow)
      print(ww.nrow)
  
      assert x.nrow == 1000000, "Original data has 1000000 rows"
      assert tt.nrow == 499851, "Column rr has 499851 unique values"
      assert ww.nrow == 979992, "Original data reduced has 979992 rows"
  
      # What do we do with Tuples?
  
      # there are 2 instances of 'cTeYX' and 2 of 'Todxf'
      tup = ("cTeYX", "Todxf")
      ww_tuple = x[~x["rr"].isin(tup)]
      assert (
          ww_tuple.nrow == 999996
      ), "Original data reduced has 999996 rows"
  
label_desc: Use image node_id 1 for calling a global function with example usage: pubdev_5174() without return types