[pre-commit.ci] auto fixes from pre-commit.com hooks

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Author: pre-commit-ci[bot]

tests/tests_pytorch/loops/test_trainer_iterable_dataset_double_iter.py

@@ -1,12 +1,14 @@
 import multiprocessing as mp
 import os
+from collections.abc import Iterator
 from queue import Queue
-from typing import Iterator
 
 import numpy as np
+from torch.utils.data import DataLoader, IterableDataset
+
 from lightning import Trainer
 from lightning.pytorch.demos.boring_classes import BoringModel
-from torch.utils.data import DataLoader, IterableDataset
+
 
 class QueueDataset(IterableDataset):
     def __init__(self, queue: Queue) -> None:
@@ -18,13 +20,15 @@ def __iter__(self) -> Iterator:
             tensor, _ = self.queue.get(timeout=10)
             yield tensor
 
+
 def create_queue():
     q = mp.Queue()
     arr = np.random.random([1, 32]).astype(np.float32)
     for ind in range(10):
         q.put((arr, ind))
     return q
 
+
 def train_model(queue, maxEpochs, ckptPath):
     dataloader = DataLoader(QueueDataset(queue), num_workers=1, batch_size=None, persistent_workers=True)
     trainer = Trainer(max_epochs=maxEpochs, enable_progress_bar=False, devices=1)
@@ -36,24 +40,24 @@ def train_model(queue, maxEpochs, ckptPath):
         trainer.save_checkpoint(ckptPath)
     return trainer
 
+
 def test_training():
-    """
-    Test that reproduces issue in calling iter twice on a queue-based
-    IterableDataset leads to Queue Empty errors when resuming from a checkpoint.
-    """
+    """Test that reproduces issue in calling iter twice on a queue-based IterableDataset leads to Queue Empty errors
+    when resuming from a checkpoint."""
     queue = create_queue()
 
     ckpt_path = "model.ckpt"
     trainer = train_model(queue, 1, ckpt_path)
     assert trainer is not None
-    
+
     assert os.path.exists(ckpt_path), "Checkpoint file wasn't created"
-    
+
     ckpt_size = os.path.getsize(ckpt_path)
     assert ckpt_size > 0, f"Checkpoint file is empty (size: {ckpt_size} bytes)"
-    
+
     trainer = train_model(queue, 1, ckpt_path)
     assert trainer is not None
 
+
 if __name__ == "__main__":
     test_training()