Lint

Author: NicolasHug

test/test_transforms_v2.py

@@ -5444,6 +5444,7 @@ def test_errors(self):
     def test_transform(self):
         check_transform(transforms.ClampBoundingBoxes(), make_bounding_boxes())
 
+
 class TestClampKeyPoints:
     @pytest.mark.parametrize("dtype", [torch.int64, torch.float32])
     @pytest.mark.parametrize("device", cpu_and_cuda())
@@ -5472,7 +5473,6 @@ def test_transform(self):
         check_transform(transforms.ClampKeyPoints(), make_keypoints())
 
 
-
 class TestInvert:
     @pytest.mark.parametrize("dtype", [torch.uint8, torch.int16, torch.float32])
     @pytest.mark.parametrize("device", cpu_and_cuda())
@@ -7196,6 +7196,7 @@ def test_no_valid_input(self, query):
         with pytest.raises(TypeError, match="No image"):
             query(["blah"])
 
+
 @pytest.mark.parametrize(
     "boxes",
     [

torchvision/transforms/v2/_meta.py

@@ -35,6 +35,7 @@ class ClampBoundingBoxes(Transform):
     def transform(self, inpt: tv_tensors.BoundingBoxes, params: dict[str, Any]) -> tv_tensors.BoundingBoxes:
         return F.clamp_bounding_boxes(inpt)  # type: ignore[return-value]
 
+
 class ClampKeyPoints(Transform):
     """Clamp keypoints to their corresponding image dimensions.