Lint fix

tests/test_functional.py

@@ -1418,7 +1418,11 @@ class TestQuantize4BitFunctional:
         if device == "hpu" and not is_supported_on_hpu(storage_type, dtype):
             pytest.skip("This configuration is not supported on HPU.")
 
-        if device == "cpu" and platform.system() == "Windows" and version.parse(torch.__version__).release == (2, 8, 0):
+        if (
+            device == "cpu"
+            and platform.system() == "Windows"
+            and version.parse(torch.__version__).release == (2, 8, 0)
+        ):
             pytest.skip("Regression: CPU crash on Windows with torch 2.8.0")
 
         dims = 4

tests/test_optim.py

@@ -172,7 +172,6 @@ optimizer_names_32bit = [
 @pytest.mark.parametrize("device", get_available_devices(no_cpu=True), ids=id_formatter("device"))
 @pytest.mark.skipif(not get_available_devices(no_cpu=True), reason="No device")
 def test_optimizer32bit(dim1, dim2, gtype, optim_name, device):
-
     if device not in ["cuda", "xpu"]:
         pytest.skip("Optimizers are only supported on CUDA and XPU")
 
@@ -317,7 +316,6 @@ optimizer_names_8bit = [
 @pytest.mark.parametrize("device", get_available_devices(no_cpu=True))
 @pytest.mark.skipif(not get_available_devices(no_cpu=True), reason="No device")
 def test_optimizer8bit(dim1, dim2, gtype, optim_name, device):
-
     if device not in ["cuda", "xpu"]:
         pytest.skip("8-bit optimizers are only supported on CUDA and XPU")