code: def start(verbose: bool) -> None:
      """Create task queue consumer and start listen the queue"""
      consumer = MLTaskConsumer()
      signal.signal(signal.SIGTERM, lambda _x, _y: consumer.stop())
      try:
          consumer.run()
      except Exception as e:
          consumer.stop()
          logger.error(f"Got exception: {e}", flush=True)
          raise
      finally:
          logger.info("Consumer process stopped", flush=True)
  
imports: import os
  import time
  import signal
  import tempfile
  import threading
  from pathlib import Path
  from functools import wraps
  from collections.abc import Callable
  import psutil
  from walrus import Database
  from pandas import DataFrame
  from redis.exceptions import ConnectionError
  from mindsdb.utilities.config import Config
  from mindsdb.utilities.context import context
  from mindsdb.integrations.libs.process_cache import process_cache
  from mindsdb.utilities.ml_task_queue.utils import RedisKey, StatusNotifier, to_bytes, from_bytes
  from mindsdb.utilities.ml_task_queue.base import BaseRedisQueue
  from mindsdb.utilities.fs import clean_unlinked_process_marks
  from mindsdb.utilities.functions import mark_process
  from mindsdb.utilities.ml_task_queue.const import ML_TASK_TYPE, ML_TASK_STATUS, TASKS_STREAM_NAME, TASKS_STREAM_CONSUMER_NAME, TASKS_STREAM_CONSUMER_GROUP_NAME
  from mindsdb.utilities import log
label_desc: Use image node_id 2 for calling a global function with example usage: start(verbose) without return types