ruff format

torchgeo/datasets/oscd.py

@@ -103,8 +103,7 @@ def __init__(
         root: Path = 'data',
         split: str = 'train',
         bands: Sequence[str] = all_bands,
-        transforms: Callable[[dict[str, Tensor]],
-                             dict[str, Tensor]] | None = None,
+        transforms: Callable[[dict[str, Tensor]], dict[str, Tensor]] | None = None,
         download: bool = False,
         checksum: bool = False,
     ) -> None:
@@ -185,8 +184,7 @@ def _load_files(self) -> list[dict[str, str | Sequence[str]]]:
             def get_image_paths(ind: int) -> list[str]:
                 return sorted(
                     glob.glob(
-                        os.path.join(images_root, region,
-                                     f'imgs_{ind}_rect', '*.tif')
+                        os.path.join(images_root, region, f'imgs_{ind}_rect', '*.tif')
                     ),
                     key=sort_sentinel2_bands,
                 )
@@ -225,8 +223,7 @@ def _load_image(self, paths: Sequence[Path]) -> Tensor:
         for path in paths:
             with Image.open(path) as img:
                 images.append(np.array(img))
-        array: np.typing.NDArray[np.int_] = np.stack(
-            images, axis=0).astype(np.int_)
+        array: np.typing.NDArray[np.int_] = np.stack(images, axis=0).astype(np.int_)
         tensor = torch.from_numpy(array).float()
         return tensor