code: def test_3979():
      df = h2o.H2OFrame(
          [
              ["1990-06-07 07:00:00", "1990-06-07 07:00:00"],
              ["1990-07-07 07:00:00", "1990-07-07 07:00:00"],
              ["1990-08-07 07:00:00", "1990-08-07 07:00:00"],
              ["1990-09-07 07:00:00", "1990-08-07 07:00:00"],
              ["1990-10-01 07:00:00", "1990-08-07 07:00:00"],
              ["1990-10-02 07:00:00", "1990-08-07 07:00:00"],
              ["1990-10-25 07:00:00", "1990-08-07 07:00:00"],
              ["1990-11-13 08:00:00", "1990-08-07 07:00:00"],
              ["1991-06-07 07:00:00", "1990-08-07 07:00:00"],
              ["1991-07-07 07:00:00", "1990-08-07 07:00:00"],
          ],
          column_names=["Datecolumn", "Datecolumn2"],
      )
      assert df.type("Datecolumn") == "time"
      assert df.type("Datecolumn2") == "time"
  
      dd = h2o.H2OFrame([["1990-06-07 07:00:00"]])
      assert dd.type("C1") == "time"
  
      assert dd[0, 0] == df[0, 0]
      chk1 = dd["C1"] == datetime.datetime(1990, 6, 7, 7, 0, 0)
      assert isinstance(chk1, h2o.H2OFrame) and chk1.shape == (1, 1)
      assert int(chk1) == 1
  
      chk2 = df["Datecolumn"] == datetime.datetime(1990, 6, 7, 7, 0, 0)
      assert isinstance(chk2, h2o.H2OFrame) and chk2.shape == (10, 1)
      assert chk2[0, 0] == 1
      assert int(chk2.sum()) == 1
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_3979() without return types