code: def autolog_function(patch_destination, logger):
      def original_impl():
          # Increase the duration of the original function by inserting a short sleep in order to
          # increase the likelihood of overlapping session stages (i.e. simultaneous preamble /
          # postamble / original function execution states across autologging sessions) during
          # multithreaded execution. We use a duration of 50 milliseconds to avoid slowing down the
          # test significantly
          time.sleep(0.05)
          warnings.warn(
              "Test warning from OG function", category=UserWarning
          )
  
      patch_destination.fn = original_impl
  
      def patch_impl(original):
          eprint("patch1")
          logger.info("patch2")
          warnings.warn_explicit(
              "preamble MLflow warning",
              category=Warning,
              filename=mlflow.__file__,
              lineno=5,
          )
          warnings.warn_explicit(
              "preamble numpy warning",
              category=UserWarning,
              filename=np.__file__,
              lineno=7,
          )
          original()
          warnings.warn_explicit(
              "postamble MLflow warning",
              category=Warning,
              filename=mlflow.__file__,
              lineno=10,
          )
          warnings.warn_explicit(
              "postamble numpy warning",
              category=Warning,
              filename=np.__file__,
              lineno=14,
          )
          logger.warning("patch3")
          logger.critical("patch4")
  
      @autologging_integration("test_integration")
      def test_autolog(disable=False, silent=False):
          eprint("enablement1")
          logger.info("enablement2")
          logger.warning("enablement3")
          logger.critical("enablement4")
          warnings.warn_explicit(
              "enablement warning MLflow",
              category=Warning,
              filename=mlflow.__file__,
              lineno=15,
          )
          warnings.warn_explicit(
              "enablement warning numpy",
              category=Warning,
              filename=np.__file__,
              lineno=30,
          )
          safe_patch(
              "test_integration", patch_destination, "fn", patch_impl
          )
  
      return test_autolog
  
imports: import logging
  import sys
  import time
  import warnings
  from concurrent.futures import ThreadPoolExecutor
  from io import StringIO
  import numpy
  import pytest
  import mlflow
  from mlflow.utils.autologging_utils import autologging_integration, safe_patch
  from mlflow.utils.logging_utils import eprint
  from tests.autologging.fixtures import patch_destination, reset_stderr, test_mode_off
label_desc: Use image node_id 2 for calling a global function with example usage: autolog_function(patch_destination, logger) and returns: test_autolog