code: def _field_accessor(name: str, docstring=None):
      def f(self):
          base = self.freq._period_dtype_code
          result = get_period_field_arr(name, self.asi8, base)
          return result
  
      f.__name__ = name
      f.__doc__ = docstring
      return property(f)
  
imports: from __future__ import annotations
  from datetime import timedelta
  import operator
  from typing import TYPE_CHECKING, Any, Callable, Literal, Sequence, TypeVar, overload
  import numpy
  from pandas._libs import algos, lib
  from pandas._libs.arrays import NDArrayBacked
  from pandas._libs.tslibs import BaseOffset, NaT, NaTType, Timedelta, astype_overflowsafe, dt64arr_to_periodarr, get_unit_from_dtype, iNaT, parsing, period, to_offset
  from pandas._libs.tslibs.dtypes import FreqGroup
  from pandas._libs.tslibs.fields import isleapyear_arr
  from pandas._libs.tslibs.offsets import Tick, delta_to_tick
  from pandas._libs.tslibs.period import DIFFERENT_FREQ, IncompatibleFrequency, Period, get_period_field_arr, period_asfreq_arr
  from pandas._typing import AnyArrayLike, Dtype, NpDtype, npt
  from pandas.util._decorators import cache_readonly, doc
  from pandas.core.dtypes.common import ensure_object, is_datetime64_any_dtype, is_datetime64_dtype, is_dtype_equal, is_float_dtype, is_integer_dtype, is_period_dtype, pandas_dtype
  from pandas.core.dtypes.dtypes import PeriodDtype
  from pandas.core.dtypes.generic import ABCIndex, ABCPeriodIndex, ABCSeries, ABCTimedeltaArray
  from pandas.core.dtypes.missing import isna
  import pandas.core.algorithms
  from pandas.core.arrays import datetimelike
  import pandas.core.common
label_desc: Use image node_id 1 for calling a global function with example usage: _field_accessor(name, docstring) and returns: property, result