code: def test_pytorch_early_stop_artifacts_logged(
      pytorch_model_with_callback,
  ):
      _, run = pytorch_model_with_callback
      client = MlflowClient()
      artifacts = client.list_artifacts(run.info.run_id)
      artifacts = (x.path for x in artifacts)
      assert "restored_model_checkpoint" in artifacts
  
imports: import pytest
  import pytorch_lightning
  import torch
  from iris import IrisClassification, IrisClassificationMultiOptimizer, IrisClassificationWithoutValidation
  from iris_data_module import IrisDataModule, IrisDataModuleWithoutValidation
  from packaging.version import Version
  from pytorch_lightning.callbacks import ModelCheckpoint
  from pytorch_lightning.callbacks.early_stopping import EarlyStopping
  import mlflow
  import mlflow.pytorch
  from mlflow import MlflowClient
  from mlflow.exceptions import MlflowException
  from mlflow.pytorch._lightning_autolog import _get_optimizer_name
  from mlflow.utils.file_utils import TempDir
label_desc: Use image node_id 16 for calling a global function with example usage: test_pytorch_early_stop_artifacts_logged(pytorch_model_with_callback) without return types