code: def _parse_date(datestr: str) -> DatetimeNaTType:
      """Given a date in xport format, return Python date."""
      try:
          # e.g. "16FEB11:10:07:55"
          return datetime.strptime(datestr, "%d%b%y:%H:%M:%S")
      except ValueError:
          return pd.NaT
  
imports: from __future__ import annotations
  from collections import abc
  from datetime import datetime
  import struct
  import warnings
  import numpy
  from pandas._typing import CompressionOptions, DatetimeNaTType, FilePath, ReadBuffer
  from pandas.util._decorators import Appender
  from pandas.util._exceptions import find_stack_level
  import pandas
  from pandas.io.common import get_handle
  from pandas.io.sas.sasreader import ReaderBase
label_desc: Use image node_id 1 for calling a global function with example usage: _parse_date(datestr) and returns: datetime, pd