[pre-commit.ci] auto fixes from pre-commit.com hooks

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Author: pre-commit-ci[bot]

monai/inferers/utils.py

@@ -172,12 +172,12 @@ def sliding_window_inference(
     Note:
         - Inputs must be channel-first and have a batch dim (NCHW / NCDHW).
         - If your data is NHWC/NDHWC, please apply `EnsureChannelFirst` / `EnsureChannelFirstd` upstream.
- 
+
     """
     num_spatial_dims = len(inputs.shape) - 2
-    
+
     # Only perform strict shape validation if roi_size is a sequence (explicit dimensions).
-    # If roi_size is an integer, it is broadcast to all dimensions, so we cannot 
+    # If roi_size is an integer, it is broadcast to all dimensions, so we cannot
     # infer the expected dimensionality to enforce a strict check here.
     if not isinstance(roi_size, int):
         roi_dims = len(roi_size)

tests/inferers/test_sliding_window_inference.py

@@ -377,7 +377,7 @@ def test_strict_shape_validation(self):
         device = "cpu"
         roi_size = (16, 16, 16)
         sw_batch_size = 4
-        
+
         def predictor(data):
             return data