fix format issue

Signed-off-by: Wei_Chuan, Chiang <[email protected]>
Co-authored-by: einsyang723 <[email protected]>
Co-authored-by: IamTingTing  <[email protected]>

Author: 3 people

monai/transforms/inverse.py

@@ -21,7 +21,7 @@
 from monai import transforms
 from monai.data.meta_obj import MetaObj, get_track_meta
 from monai.data.meta_tensor import MetaTensor
-from monai.data.utils import to_affine_nd, affine_to_spacing
+from monai.data.utils import affine_to_spacing, to_affine_nd
 from monai.transforms.traits import InvertibleTrait
 from monai.transforms.transform import Transform
 from monai.utils import (
@@ -199,7 +199,6 @@ def track_transform_meta(
             out_obj.meta[MetaKeys.AFFINE] = convert_to_tensor(affine, device=torch.device("cpu"), dtype=torch.float64)
             out_obj.meta[MetaKeys.PIXDIM] = affine_to_spacing(out_obj.meta[MetaKeys.AFFINE])
 
-
         if not (get_track_meta() and transform_info and transform_info.get(TraceKeys.TRACING)):
             if isinstance(data, Mapping):
                 if not isinstance(data, dict):

monai/utils/jupyter_utils.py

@@ -234,7 +234,7 @@ def plot_engine_status(
 
 
 def _get_loss_from_output(
-    output: list[torch.Tensor | dict[str, torch.Tensor]] | dict[str, torch.Tensor] | torch.Tensor,
+    output: list[torch.Tensor | dict[str, torch.Tensor]] | dict[str, torch.Tensor] | torch.Tensor
 ) -> torch.Tensor:
     """Returns a single value from the network output, which is a dict or tensor."""