class_docstr: Timetable that schedules data intervals with a cron expression.
  
  This corresponds to ``schedule=<cron>``, where ``<cron>`` is either
  a five/six-segment representation, or one of ``cron_presets``.
  
  The implementation extends on croniter to add timezone awareness. This is
  because croniter works only with naive timestamps, and cannot consider DST
  when determining the next/previous time.
  
  Don't pass ``@once`` in here; use ``OnceTimetable`` instead.
class_docstr_tok: ["Timetable","that","schedules","data","intervals","with","a","cron","expression",".","This","corresponds","to","``","schedule=","<","cron",">","``",",","where","``","<","cron",">","``","is","either","a","five\/six-segment","representation",",","or","one","of","``","cron_presets","``",".","The","implementation","extends","on","croniter","to","add","timezone","awareness",".","This","is","because","croniter","works","only","with","naive","timestamps",",","and","can","not","consider","DST","when","determining","the","next\/previous","time",".","Do","n't","pass","``","@","once","``","in","here",";","use","``","OnceTimetable","``","instead","."]
code: def deserialize(cls, data: dict[str, Any]) -> Timetable:
      from airflow.serialization.serialized_objects import (
          decode_timezone,
      )
  
      return cls(data["expression"], decode_timezone(data["timezone"]))
  
imports: from __future__ import annotations
  import datetime
  from typing import TYPE_CHECKING, Any, Union
  from dateutil.relativedelta import relativedelta
  from pendulum import DateTime
  from airflow.exceptions import AirflowTimetableInvalid
  from airflow.timetables._cron import CronMixin
  from airflow.timetables.base import DagRunInfo, DataInterval, Timetable
  from airflow.utils.timezone import convert_to_utc
label_desc: Use image node_id 1 for calling the CronDataIntervalTimetable obj's underlying member method code with example usage: obj.deserialize(cls, data) and returns: cls