code: def test_orc_reader_date_high(dirpath):
      data = {
          "time": np.array(
              [
                  "2038-05-05 12:34:56.100000",
                  "2038-05-05 12:34:56.100100",
                  "2038-05-05 12:34:56.100200",
                  "2038-05-05 12:34:56.100300",
                  "2038-05-05 12:34:56.100400",
                  "2038-05-05 12:34:56.100500",
                  "2038-05-05 12:34:56.100600",
                  "2038-05-05 12:34:56.100700",
                  "2038-05-05 12:34:56.100800",
                  "2038-05-05 12:34:56.100900",
              ],
              dtype="datetime64[ns]",
          ),
          "date": np.array(
              [
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
                  datetime.date(2038, 12, 25),
              ],
              dtype="object",
          ),
      }
      expected = pd.DataFrame.from_dict(data)
  
      inputfile = os.path.join(dirpath, "TestOrcFile.testDate2038.orc")
      got = read_orc(inputfile).iloc[:10]
  
      tm.assert_equal(expected, got)
  
imports: import datetime
  from decimal import Decimal
  from io import BytesIO
  import os
  import pathlib
  import numpy
  import pytest
  import pandas
  from pandas import read_orc
  import pandas._testing
  from pandas.core.arrays import StringArray
  import pyarrow
label_desc: Use image node_id 6 for calling a global function with example usage: test_orc_reader_date_high(dirpath) without return types