code: def test_show_time():
      h2o.cluster().timezone = "UTC"
      df = h2o.H2OFrame.from_python(
          {
              "A": [1, 2, 3],
              "B": ["a", "a", "b"],
              "C": ["hello", "all", "world"],
              "D": [
                  "12MAR2015:11:00:00",
                  "13MAR2015:12:00:00",
                  "14MAR2015:13:00:00",
              ],
          },
          column_types={
              "A": "numeric",
              "B": "enum",
              "C": "string",
              "D": "time",
          },
      )
      out = str(df)
      print(out)
      assert "2015-03-12 11:00:00" in out
      assert "2015-03-13 12:00:00" in out
      assert "2015-03-14 13:00:00" in out
  
      df2 = h2o.create_frame(
          cols=6, rows=10, time_fraction=1, missing_fraction=0.1
      )
      out2 = str(df2)
      print(out2)
      assert "e+" not in out2
      assert "E+" not in out2
  
      lines = out2.splitlines()[
          2:-2
      ]  # skip header (first 2 lines) + footer (last 2 lines)
      regex = re.compile(r"(\d+)-(\d+)-(\d+) (\d+):(\d+):(\d+)")
      for l in lines:
          for entry in l.split("  "):
              entry = entry.strip()
              if entry == "":
                  continue  # skip missing entries
              m = re.match(regex, entry)
              assert m is not None, (
                  "Failed to recognize time expression '%s'" % entry
              )
              year = int(m.group(1))
              month = int(m.group(2))
              day = int(m.group(3))
              assert 1970 <= year <= 2020
              assert 1 <= month <= 12
              assert 1 <= day <= 31
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_show_time() without return types