code: def _get_jvm_event_publisher(spark_context):
      """
      Get JVM-side object implementing the following methods:
      - init() for initializing JVM state needed for autologging (e.g. attaching a SparkListener
        to watch for datasource reads)
      - register(subscriber) for registering subscribers to receive datasource events
      """
      jvm = spark_context._gateway.jvm
      qualified_classname = "{}.{}".format(
          _JAVA_PACKAGE, "MlflowAutologEventPublisher"
      )
      return getattr(jvm, qualified_classname)
  
imports: import concurrent.futures
  import logging
  import sys
  import threading
  import uuid
  from py4j.java_gateway import CallbackServerParameters
  import mlflow
  from mlflow import MlflowClient
  from mlflow.exceptions import MlflowException
  from mlflow.spark import FLAVOR_NAME
  from mlflow.tracking.context.abstract_context import RunContextProvider
  from mlflow.utils import _truncate_and_ellipsize
  from mlflow.utils.autologging_utils import ExceptionSafeClass, autologging_is_disabled
  from mlflow.utils.databricks_utils import get_repl_id
  from mlflow.utils.validation import MAX_TAG_VAL_LENGTH
label_desc: Use image node_id 7 for calling a global function with example usage: _get_jvm_event_publisher(spark_context) and returns: getattr