code: def test_trigger_create_race_condition_18392(session, tmp_path):
      """
      This verifies the resolution of race condition documented in github issue #18392.
      Triggers are queued for creation by TriggerJob.load_triggers.
      There was a race condition where multiple triggers would be created unnecessarily.
      What happens is the runner completes the trigger and purges from the "running" list.
      Then job.load_triggers is called and it looks like the trigger is not running but should,
      so it queues it again.
  
      The scenario is as follows:
          1. job.load_triggers (trigger now queued)
          2. runner.create_triggers (trigger now running)
          3. job.handle_events (trigger still appears running so state not updated in DB)
          4. runner.cleanup_finished_triggers (trigger completed at this point; trigger from "running" set)
          5. job.load_triggers (trigger not running, but also not purged from DB, so it is queued again)
          6. runner.create_triggers (trigger created again)
  
      This test verifies that under this scenario only one trigger is created.
      """
      path = tmp_path / "test_trigger_bad_respawn.txt"
  
      class TriggerRunner_(TriggerRunner):
          """We do some waiting for main thread looping"""
  
          async def wait_for_job_method_count(self, method, count):
              for _ in range(30):
                  await asyncio.sleep(0.1)
                  if getattr(self, f"{method}_count", 0) >= count:
                      break
              else:
                  pytest.fail(
                      f"did not observe count {count} in job method {method}"
                  )
  
          async def create_triggers(self):
              """
              On first run, wait for job.load_triggers to make sure they are queued
              """
              if getattr(self, "loop_count", 0) == 0:
                  await self.wait_for_job_method_count(
                      "load_triggers", 1
                  )
              await super().create_triggers()
              self.loop_count = getattr(self, "loop_count", 0) + 1
  
          async def cleanup_finished_triggers(self):
              """On loop 1, make sure that job.handle_events was already called"""
              if self.loop_count == 1:
                  await self.wait_for_job_method_count(
                      "handle_events", 1
                  )
              await super().cleanup_finished_triggers()
  
      class TriggererJob_(TriggererJobRunner):
          """We do some waiting for runner thread looping (and track calls in job thread)"""
  
          def wait_for_runner_loop(self, runner_loop_count):
              for _ in range(30):
                  time.sleep(0.1)
                  if (
                      getattr(self.trigger_runner, "call_count", 0)
                      >= runner_loop_count
                  ):
                      break
              else:
                  pytest.fail(
                      "did not observe 2 loops in the runner thread"
                  )
  
          def load_triggers(self):
              """On second run, make sure that runner has called create_triggers in its second loop"""
              super().load_triggers()
              self.trigger_runner.load_triggers_count = (
                  getattr(self.trigger_runner, "load_triggers_count", 0)
                  + 1
              )
              if self.trigger_runner.load_triggers_count == 2:
                  self.wait_for_runner_loop(runner_loop_count=2)
  
          def handle_events(self):
              super().handle_events()
              self.trigger_runner.handle_events_count = (
                  getattr(self.trigger_runner, "handle_events_count", 0)
                  + 1
              )
  
      trigger = TimeDeltaTrigger_(
          delta=datetime.timedelta(microseconds=1),
          filename=path.as_posix(),
      )
      trigger_orm = Trigger.from_object(trigger)
      trigger_orm.id = 1
      session.add(trigger_orm)
  
      dag = DagModel(dag_id="test-dag")
      dag_run = DagRun(dag.dag_id, run_id="abc", run_type="none")
      ti = TaskInstance(
          PythonOperator(task_id="dummy-task", python_callable=print),
          run_id=dag_run.run_id,
      )
      ti.dag_id = dag.dag_id
      ti.trigger_id = 1
      session.add(dag)
      session.add(dag_run)
      session.add(ti)
  
      session.commit()
  
      job = Job()
      job_runner = TriggererJob_(job)
      job_runner.trigger_runner = TriggerRunner_()
      thread = Thread(target=job_runner._execute)
      thread.start()
      try:
          for _ in range(40):
              time.sleep(0.1)
              # ready to evaluate after 2 loops
              if (
                  getattr(job_runner.trigger_runner, "loop_count", 0)
                  >= 2
              ):
                  break
          else:
              pytest.fail(
                  "did not observe 2 loops in the runner thread"
              )
      finally:
          job_runner.trigger_runner.stop = True
          job_runner.trigger_runner.join(30)
          thread.join()
      instances = path.read_text().splitlines()
      assert len(instances) == 1
  
imports: from __future__ import annotations
  import asyncio
  import datetime
  import importlib
  import time
  from threading import Thread
  from unittest.mock import MagicMock, patch
  import pendulum
  import pytest
  from airflow.config_templates import airflow_local_settings
  from airflow.jobs.job import Job
  from airflow.jobs.triggerer_job_runner import TriggererJobRunner, TriggerRunner, setup_queue_listener
  from airflow.logging_config import configure_logging
  from airflow.models import DagModel, DagRun, TaskInstance, Trigger
  from airflow.models.baseoperator import BaseOperator
  from airflow.models.dag import DAG
  from airflow.operators.empty import EmptyOperator
  from airflow.operators.python import PythonOperator
  from airflow.triggers.base import TriggerEvent
  from airflow.triggers.temporal import DateTimeTrigger, TimeDeltaTrigger
  from airflow.triggers.testing import FailureTrigger, SuccessTrigger
  from airflow.utils import timezone
  from airflow.utils.log.logging_mixin import RedirectStdHandler
  from airflow.utils.log.trigger_handler import LocalQueueHandler
  from airflow.utils.session import create_session
  from airflow.utils.state import State, TaskInstanceState
  from airflow.utils.types import DagRunType
  from tests.core.test_logging_config import reset_logging
  from tests.test_utils.db import clear_db_dags, clear_db_runs
label_desc: Use image node_id 9 for calling a global function with example usage: test_trigger_create_race_condition_18392(session, tmp_path) without return types