Formatting updates

Signed-off-by: Eric Kerfoot <eric.kerfoot@kcl.ac.uk>

monai/data/meta_tensor.py

@@ -609,5 +609,6 @@ def print_verbose(self) -> None:
             print(self.meta.__repr__())
 
 
-if hasattr(torch.serialization,"add_safe_globals"):
+# needed in later versions of Pytorch to indicate the class is safe for serialisation
+if hasattr(torch.serialization, "add_safe_globals"):
     torch.serialization.add_safe_globals([MetaTensor])

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."""
 

monai/visualize/img2tensorboard.py

@@ -65,11 +65,11 @@ def _image3_animated_gif(
     img_str = b""
     for b_data in PIL.GifImagePlugin.getheader(ims[0])[0]:
         img_str += b_data
-    img_str += b"\x21\xFF\x0B\x4E\x45\x54\x53\x43\x41\x50" b"\x45\x32\x2E\x30\x03\x01\x00\x00\x00"
+    img_str += b"\x21\xff\x0b\x4e\x45\x54\x53\x43\x41\x50" b"\x45\x32\x2e\x30\x03\x01\x00\x00\x00"
     for i in ims:
         for b_data in PIL.GifImagePlugin.getdata(i):
             img_str += b_data
-    img_str += b"\x3B"
+    img_str += b"\x3b"
 
     summary = SummaryX if has_tensorboardx and isinstance(writer, SummaryWriterX) else Summary
     summary_image_str = summary.Image(height=10, width=10, colorspace=1, encoded_image_string=img_str)