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

for more information, see https://pre-commit.ci

monai/apps/auto3dseg/data_analyzer.py

@@ -181,7 +181,7 @@ def get_all_case_stats(self, key="training", transform_list=None):
         else:
             nprocs = torch.cuda.device_count()
             print(f'Found {nprocs} GPUs for data analyzing!')
-        set_start_method('forkserver', force=True)  
+        set_start_method('forkserver', force=True)
         with Manager() as manager:
             manager_list = manager.list()
             processes = []
@@ -317,5 +317,3 @@ def _get_all_case_stats(self, rank: int=0, world_size: int=1, manager_list: Mana
                 )
             result[DataStatsKeys.BY_CASE].append(stats_by_cases)
         manager_list.append(result)
-
-

monai/networks/nets/swin_unetr.py

@@ -973,7 +973,7 @@ def __init__(
             self.layers1c = nn.ModuleList()
             self.layers2c = nn.ModuleList()
             self.layers3c = nn.ModuleList()
-            self.layers4c = nn.ModuleList()            
+            self.layers4c = nn.ModuleList()
         down_sample_mod = look_up_option(downsample, MERGING_MODE) if isinstance(downsample, str) else downsample
         for i_layer in range(self.num_layers):
             layer = BasicLayer(
@@ -1015,7 +1015,7 @@ def __init__(
                 elif i_layer == 2:
                     self.layers3c.append(layerc)
                 elif i_layer == 3:
-                    self.layers4c.append(layerc)     
+                    self.layers4c.append(layerc)
 
         self.num_features = int(embed_dim * 2 ** (self.num_layers - 1))