code: def test_lightning_hasattr():
      """Test that the lightning_hasattr works in all cases."""
      models, _ = model_and_trainer_cases()
      (
          model1,
          model2,
          model3,
          model4,
          model5,
          model6,
          model7,
          model8,
      ) = models
      assert lightning_hasattr(
          model1, "learning_rate"
      ), "lightning_hasattr failed to find namespace variable"
      assert lightning_hasattr(
          model2, "learning_rate"
      ), "lightning_hasattr failed to find hparams namespace variable"
      assert lightning_hasattr(
          model3, "learning_rate"
      ), "lightning_hasattr failed to find hparams dict variable"
      assert not lightning_hasattr(
          model4, "learning_rate"
      ), "lightning_hasattr found variable when it should not"
      assert lightning_hasattr(
          model5, "batch_size"
      ), "lightning_hasattr failed to find batch_size in datamodule"
      assert lightning_hasattr(
          model6, "batch_size"
      ), "lightning_hasattr failed to find batch_size in datamodule w/ hparams present"
      assert lightning_hasattr(
          model7, "batch_size"
      ), "lightning_hasattr failed to find batch_size in hparams w/ datamodule present"
      assert lightning_hasattr(model8, "batch_size")
  
      for m in models:
          assert not lightning_hasattr(m, "this_attr_not_exist")
  
file_path: pytorch-lightning/tests/tests_pytorch/utilities/test_parsing.py
imports: import inspect
  import threading
  import pytest
  from lightning.pytorch import LightningDataModule, LightningModule, Trainer
  from lightning.pytorch.utilities.parsing import _get_init_args, clean_namespace, collect_init_args, is_picklable, lightning_getattr, lightning_hasattr, lightning_setattr, parse_class_init_keys
  from torch.jit import ScriptModule
label_desc: Use image node_id 2 for calling a global function with example usage: test_lightning_hasattr() without return types