black formatted files before changes

Deep-SAD-PyTorch/src/base/base_dataset.py

@@ -10,15 +10,24 @@ class BaseADDataset(ABC):
         self.root = root  # root path to data
 
         self.n_classes = 2  # 0: normal, 1: outlier
-        self.normal_classes = None  # tuple with original class labels that define the normal class
-        self.outlier_classes = None  # tuple with original class labels that define the outlier class
+        self.normal_classes = (
+            None  # tuple with original class labels that define the normal class
+        )
+        self.outlier_classes = (
+            None  # tuple with original class labels that define the outlier class
+        )
 
         self.train_set = None  # must be of type torch.utils.data.Dataset
         self.test_set = None  # must be of type torch.utils.data.Dataset
 
     @abstractmethod
-    def loaders(self, batch_size: int, shuffle_train=True, shuffle_test=False, num_workers: int = 0) -> (
-            DataLoader, DataLoader):
+    def loaders(
+        self,
+        batch_size: int,
+        shuffle_train=True,
+        shuffle_test=False,
+        num_workers: int = 0,
+    ) -> (DataLoader, DataLoader):
         """Implement data loaders of type torch.utils.data.DataLoader for train_set and test_set."""
         pass