code: def test_last_active_run_retrieves_autologged_run():
      from sklearn.ensemble import RandomForestRegressor
  
      mlflow.autolog()
      rf = RandomForestRegressor(
          n_estimators=1, max_depth=1, max_features=1
      )
      rf.fit([[1, 2]], [[3]])
      rf.predict([[2, 1]])
  
      autolog_run = mlflow.last_active_run()
      assert autolog_run is not None
      assert autolog_run.info.run_id is not None
  
imports: import sys
  from collections import namedtuple
  from io import StringIO
  from unittest import mock
  import fastai
  import lightgbm
  import pyspark
  import pyspark.ml
  import pytest
  import pytorch_lightning
  import setfit
  import sklearn
  import statsmodels
  import tensorflow
  import transformers
  import xgboost
  import mlflow
  from mlflow.utils.autologging_utils import AutologgingEventLogger, autologging_is_disabled, get_autologging_config
  from tests.autologging.fixtures import reset_stderr, test_mode_off, test_mode_on
label_desc: Use image node_id 13 for calling a global function with example usage: test_last_active_run_retrieves_autologged_run() without return types