class_docstr: Adds special handling for K8s executor config.
  
  If we unpickle a k8s object that was pickled under an earlier k8s library version, then
  the unpickled object may throw an error when to_dict is called.  To be more tolerant of
  version changes we convert to JSON using Airflow's serializer before pickling.
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code: def bind_processor(self, dialect):
      from airflow.serialization.serialized_objects import (
          BaseSerialization,
      )
  
      super_process = super().bind_processor(dialect)
  
      def process(value):
          val_copy = copy.copy(value)
          if isinstance(val_copy, dict) and "pod_override" in val_copy:
              val_copy["pod_override"] = BaseSerialization.serialize(
                  val_copy["pod_override"]
              )
          return super_process(val_copy)
  
      return process
  
imports: from __future__ import annotations
  import contextlib
  import copy
  import datetime
  import json
  import logging
  from typing import TYPE_CHECKING, Any, Generator, Iterable, overload
  from dateutil import relativedelta
  from sqlalchemy import TIMESTAMP, PickleType, event, nullsfirst, tuple_
  from sqlalchemy.dialects import mysql
  from sqlalchemy.types import JSON, Text, TypeDecorator
  from airflow.configuration import conf
  from airflow.serialization.enums import Encoding
  from airflow.utils.timezone import make_naive, utc
label_desc: Use image node_id 1 for calling the ExecutorConfigType obj's underlying member method code with example usage: obj.bind_processor(dialect) and returns: process, super_process