class_docstr: This is a queue based run data processor that queues incoming batches and processes them using
  single worker thread.
code: def is_active(self) -> bool:
      return self._is_activated
  
imports: import atexit
  import logging
  import threading
  from concurrent.futures import ThreadPoolExecutor
  from queue import Empty, Queue
  from mlflow.entities.metric import Metric
  from mlflow.entities.param import Param
  from mlflow.entities.run_tag import RunTag
  from mlflow.utils.async_logging.run_batch import RunBatch
  from mlflow.utils.async_logging.run_operations import RunOperations
label_desc: Use image node_id 10 for calling the AsyncLoggingQueue obj's underlying member method code with example usage: obj.is_active() and returns: self