autofix

Signed-off-by: R. Garcia-Dias <[email protected]>

Author: garciadias

tests/networks/blocks/test_patchembedding.py

@@ -53,11 +53,7 @@
         (2, params["embed_dim"], *([img_size // params["patch_size"]]) * params["spatial_dims"]),
     ]
     for params in dict_product(
-        patch_size=[2],
-        in_chans=[1, 4],
-        embed_dim=[6, 12],
-        norm_layer=[nn.LayerNorm],
-        spatial_dims=[2, 3],
+        patch_size=[2], in_chans=[1, 4], embed_dim=[6, 12], norm_layer=[nn.LayerNorm], spatial_dims=[2, 3]
     )
 ]
 

tests/transforms/test_gibbs_noise.py

@@ -26,9 +26,8 @@
 _, has_torch_fft = optional_import("torch.fft", name="fftshift")
 
 TEST_CASES = dict_product(shape=((128, 64), (64, 48, 80)), input_type=TEST_NDARRAYS if has_torch_fft else [np.array])
-TEST_CASES = [
-    [p_dict["shape"], p_dict["input_type"]] for p_dict in TEST_CASES
-]
+TEST_CASES = [[p_dict["shape"], p_dict["input_type"]] for p_dict in TEST_CASES]
+
 
 class TestGibbsNoise(unittest.TestCase):
     def setUp(self):