diff --git a/examples/flower-authentication/authexample/client_app.py b/examples/flower-authentication/authexample/client_app.py
index 4dde41fed27..524e31d53ca 100644
--- a/examples/flower-authentication/authexample/client_app.py
+++ b/examples/flower-authentication/authexample/client_app.py
@@ -4,7 +4,14 @@
 from flwr.client import ClientApp, NumPyClient
 from flwr.common import Context
 
-from authexample.task import Net, get_weights, load_data_from_disk, set_weights, test, train
+from authexample.task import (
+    Net,
+    get_weights,
+    load_data_from_disk,
+    set_weights,
+    test,
+    train,
+)
 
 
 # Define Flower Client
diff --git a/examples/flower-authentication/authexample/task.py b/examples/flower-authentication/authexample/task.py
index 7a6887ea88d..aaca1447c54 100644
--- a/examples/flower-authentication/authexample/task.py
+++ b/examples/flower-authentication/authexample/task.py
@@ -84,7 +84,7 @@ def load_data_to_disk(num_partitions: int = 2):
             dataset="uoft-cs/cifar10",
             partitioners={"train": partitioner},
         )
-    
+
     for partition_id in range(num_partitions):
         partition = fds.load_partition(partition_id)
         partition_train_test = partition.train_test_split(test_size=0.2, seed=42)
diff --git a/examples/flower-authentication/dataset.py b/examples/flower-authentication/dataset.py
index 43ebe6dffbf..bd3f07bc5fd 100644
--- a/examples/flower-authentication/dataset.py
+++ b/examples/flower-authentication/dataset.py
@@ -3,14 +3,21 @@
 
 if __name__ == "__main__":
     # Initialize argument parser
-    parser = argparse.ArgumentParser(description="Load CIFAR-10 dataset partitions to disk")
-    
+    parser = argparse.ArgumentParser(
+        description="Load CIFAR-10 dataset partitions to disk"
+    )
+
     # Add an optional positional argument for number of partitions
-    parser.add_argument("num_partitions", type=int, nargs="?", default=2,
-                        help="Number of partitions to create (default: 2)")
-    
+    parser.add_argument(
+        "num_partitions",
+        type=int,
+        nargs="?",
+        default=2,
+        help="Number of partitions to create (default: 2)",
+    )
+
     # Parse the arguments
     args = parser.parse_args()
-    
+
     # Call the function with the provided argument
     load_data_to_disk(args.num_partitions)