code: def test_get_optimizer_name_with_lightning_optimizer():
      from pytorch_lightning.core.optimizer import LightningOptimizer
  
      adam = torch.optim.Adam(torch.nn.Linear(1, 1).parameters())
      assert _get_optimizer_name(LightningOptimizer(adam)) == "Adam"
  
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 24 for calling a global function with example usage: test_get_optimizer_name_with_lightning_optimizer() without return types