code: def orc_parser_timestamp_date():
      """
      To verify that the orc parser is parsing correctly, we want to take a file we know (prostate_NA.csv), convert
      it to an Orc file (prostate_NA.orc) and build two H2O frames out of them.   We compare them and verified that
      they are the same.
  
      Nidhi did this manually in Hive and verified that the parsing is correct.  I am automating the test here.
  
      :return: None
      """
  
      tol_time = 200  # comparing in ms or ns
      tol_numeric = 1e-5  # tolerance for comparing other numeric fields
      numElements2Compare = 10  # choose number of elements per column to compare.  Save test time.
  
      h2oOrc = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/orc/prostate_NA.orc"
          )
      )
      h2oCsv = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/csv2orc/prostate_NA.csv"
          )
      )
  
      # compare the two frames
      assert pyunit_utils.compare_frames(
          h2oOrc, h2oCsv, numElements2Compare, tol_time, tol_numeric
      ), "H2O frame parsed from orc and csv files are different!"
  
imports: from builtins import str
  import sys
  import h2o
  from tests import pyunit_utils
label_desc: Use image node_id 1 for calling a global function with example usage: orc_parser_timestamp_date() without return types