class_docstr: Spark job spec.
code: def validate(self):
      if self.spec.get("dynamicAllocation", {}).get("enabled"):
          if not all(
              [
                  self.spec["dynamicAllocation"]["initialExecutors"],
                  self.spec["dynamicAllocation"]["minExecutors"],
                  self.spec["dynamicAllocation"]["maxExecutors"],
              ]
          ):
              raise AirflowException(
                  "Make sure initial/min/max value for dynamic allocation is passed"
              )
  
imports: from __future__ import annotations
  import time
  from copy import deepcopy
  from datetime import datetime
  from functools import cached_property
  import tenacity
  from kubernetes.client import CoreV1Api, CustomObjectsApi, models
  from kubernetes.client.rest import ApiException
  from airflow.exceptions import AirflowException
  from airflow.providers.cncf.kubernetes.resource_convert.configmap import convert_configmap, convert_configmap_to_volume
  from airflow.providers.cncf.kubernetes.resource_convert.env_variable import convert_env_vars
  from airflow.providers.cncf.kubernetes.resource_convert.secret import convert_image_pull_secrets, convert_secret
  from airflow.providers.cncf.kubernetes.utils.pod_manager import PodManager
  from airflow.utils.log.logging_mixin import LoggingMixin
label_desc: Use image node_id 2 for calling the SparkJobSpec obj's underlying member method code with example usage: obj.validate() without return types