code: def orc_parser_timestamp_date():
      """
      This test will parse orc files containing timestamp and date information into
      H2O frame.  Next, it will take the .csv file generated from the orc file from
      Hive and parse into H2O frame.  Finally, we compare the two frames and make sure
      that they are equal.
  
      We want to make sure that we are parsing the date and timestamp
      date correctly from an orc file.  Thanks to Nidhi who has imported an orc file
      containing timestamp/date into spark and later into Hive and write it out as
      csv.
  
      :return: None
      """
  
      tol_time = 200  # comparing in ms or ns
      tol_numeric = 1e-5  # tolerance for comparing other numeric fields
      numElements2Compare = 100  # choose number of elements per column to compare.  Save test time.
  
      allOrcFiles = [
          "smalldata/parser/orc/TestOrcFile.testDate1900.orc",
          "smalldata/parser/orc/TestOrcFile.testDate2038.orc",
          "smalldata/parser/orc/orc_split_elim.orc",
      ]
  
      allCsvFiles = [
          "smalldata/parser/orc/orc2csv/TestOrcFile.testDate1900.csv",
          "smalldata/parser/orc/orc2csv/TestOrcFile.testDate2038.csv",
          "smalldata/parser/orc/orc2csv/orc_split_elim.csv",
      ]
  
      for fIndex in range(len(allOrcFiles)):
          h2oOrc = h2o.import_file(
              path=pyunit_utils.locate(allOrcFiles[fIndex])
          )
          h2oCsv = h2o.import_file(
              path=pyunit_utils.locate(allCsvFiles[fIndex])
          )
  
          # 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