auto updates (#6561)

Signed-off-by: monai-bot <[email protected]>

Signed-off-by: monai-bot <[email protected]>
Co-authored-by: Wenqi Li <[email protected]>

Author: monai-bot

monai/inferers/splitter.py

@@ -282,7 +282,7 @@ def __call__(self, inputs: Any) -> Iterable[tuple[torch.Tensor, Sequence[int]]]:
 
         # Splitting
         for location in iter_patch_position(spatial_shape, patch_size, offset, overlap, False):
-            patch = self._get_patch(inputs, location, patch_size)  # type: ignore
+            patch = self._get_patch(inputs, location, patch_size)
             patch = convert_to_tensor(patch, device=self.device)
             # correct the location with respect to original inputs (remove starting pads)
             if is_start_padded:

tests/test_patch_inferer.py

@@ -127,7 +127,6 @@
     TENSOR_4x4,
 ]
 
-
 # non-divisible patch_size leading to larger image (without matching spatial shape)
 TEST_CASE_11_PADDING = [
     TENSOR_4x4,

tests/test_wsi_sliding_window_splitter.py

@@ -35,14 +35,12 @@
     WSI_READER_STR = "OpenSlide"
     WSI_READER_CLASS = OpenSlideWSIReader
 
-
 WSI_GENERIC_TIFF_KEY = "wsi_generic_tiff"
 WSI_GENERIC_TIFF_PATH = os.path.join(os.path.dirname(__file__), "testing_data", f"temp_{WSI_GENERIC_TIFF_KEY}.tiff")
 
 HEIGHT = 32914
 WIDTH = 46000
 
-
 # ----------------------------------------------------------------------------
 # WSI test cases
 # ----------------------------------------------------------------------------