autofix

Author: garciadias

tests/networks/nets/test_mednext.py

@@ -23,13 +23,12 @@
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 TEST_CASE_MEDNEXT = [
-    [
-        params,
-        (2, 1, *([16] * params["spatial_dims"])),
-        (2, 2, *([16] * params["spatial_dims"])),
-    ]
+    [params, (2, 1, *([16] * params["spatial_dims"])), (2, 2, *([16] * params["spatial_dims"]))]
     for params in dict_product(
-        spatial_dims=range(2, 4), init_filters=[8, 16], deep_supervision=[False, True], use_residual_connection=[False, True]
+        spatial_dims=range(2, 4),
+        init_filters=[8, 16],
+        deep_supervision=[False, True],
+        use_residual_connection=[False, True],
     )
 ]
 TEST_CASE_MEDNEXT_2 = [

tests/networks/nets/test_segresnet.py

@@ -39,11 +39,7 @@
 ]
 
 TEST_CASE_SEGRESNET_2 = [
-    [
-        params,
-        (2, 1, *([16] * params["spatial_dims"])),
-        (2, params["out_channels"], *([16] * params["spatial_dims"])),
-    ]
+    [params, (2, 1, *([16] * params["spatial_dims"])), (2, params["out_channels"], *([16] * params["spatial_dims"]))]
     for params in dict_product(
         spatial_dims=range(2, 4), init_filters=[8, 16], out_channels=range(1, 3), upsample_mode=list(UpsampleMode)
     )