satisfy linters

Author: jakobkruse1

notebooks/support/banzhaf.py

@@ -1,17 +1,17 @@
-import numpy as np
+from typing import Optional
 
+import numpy as np
 from numpy.typing import NDArray
 from sklearn.datasets import load_digits
 from sklearn.metrics import accuracy_score
 from sklearn.model_selection import train_test_split
-from typing import Optional
 
 from pydvl.utils.types import SupervisedModel
 
 try:
     import torch
     from torch import nn, optim
-    from torch.utils.data import TensorDataset, DataLoader
+    from torch.utils.data import DataLoader, TensorDataset
 except ImportError as e:
     raise RuntimeError("PyTorch is required to run the Banzhaf MSR notebook") from e
 

src/pydvl/value/result.py

@@ -358,13 +358,16 @@ def __getattr__(self, attr: str) -> Any:
             ) from e
 
     @overload
-    def __getitem__(self, key: int) -> ValueItem: ...
+    def __getitem__(self, key: int) -> ValueItem:
+        ...
 
     @overload
-    def __getitem__(self, key: slice) -> List[ValueItem]: ...
+    def __getitem__(self, key: slice) -> List[ValueItem]:
+        ...
 
     @overload
-    def __getitem__(self, key: Iterable[int]) -> List[ValueItem]: ...
+    def __getitem__(self, key: Iterable[int]) -> List[ValueItem]:
+        ...
 
     def __getitem__(
         self, key: Union[slice, Iterable[int], int]
@@ -390,13 +393,16 @@ def __getitem__(
             raise TypeError("Indices must be integers, iterable or slices")
 
     @overload
-    def __setitem__(self, key: int, value: ValueItem) -> None: ...
+    def __setitem__(self, key: int, value: ValueItem) -> None:
+        ...
 
     @overload
-    def __setitem__(self, key: slice, value: ValueItem) -> None: ...
+    def __setitem__(self, key: slice, value: ValueItem) -> None:
+        ...
 
     @overload
-    def __setitem__(self, key: Iterable[int], value: ValueItem) -> None: ...
+    def __setitem__(self, key: Iterable[int], value: ValueItem) -> None:
+        ...
 
     def __setitem__(
         self, key: Union[slice, Iterable[int], int], value: ValueItem