code: def test_date_comparisons():
      dfpd = pd.DataFrame(
          {
              "date": pd.date_range("1/1/2011", periods=10),
              "value": range(10),
          }
      )
      dfh2o = h2o.H2OFrame(dfpd)
      z1 = dfpd["date"].min()
      z2 = dfpd["date"].values[2]
      assert isinstance(z1, pd.Timestamp)
      assert isinstance(z2, np.datetime64)
      # Check that the conversion used in H2OFrame.moment() work as expected
      assert z1.to_pydatetime() == datetime.datetime(2011, 1, 1, 0, 0)
      assert z2.astype("M8[ms]").astype("O") == datetime.datetime(
          2011, 1, 3, 0, 0
      )
  
      test1pd = dfpd["date"] > z1
      test1h2o = dfh2o["date"] > z1
      assert test1pd.sum() == 9, (
          "Incorrect Pandas comparison result:\n%r" % test1pd
      )
      assert test1h2o.sum().flatten() == 9, (
          "Incorrect H2O comparison result:\n%r" % test1h2o
      )
  
      test2pd = dfpd["date"] > pd.Timestamp(z2)
      test2h2o = dfh2o["date"] > z2
      assert test2pd.sum() == 7, (
          "Incorrect Pandas comparison result:\n%r" % test2pd
      )
      assert test2h2o.sum().flatten() == 7, (
          "Incorrect H2O comparison result:\n%r" % test2h2o
      )
  
imports: import datetime
  import h2o
  import pandas
  import numpy
  from tests import pyunit_utils
label_desc: Use image node_id 1 for calling a global function with example usage: test_date_comparisons() without return types