Convert formatting to use ruff instead of yapf + isort (#26247)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

tests/compile/test_wrapper.py

@@ -10,7 +10,6 @@ from vllm.config import CompilationLevel
 
 
 class MyMod(torch.nn.Module):
-
     def forward(self, x: torch.Tensor, cache: Optional[torch.Tensor] = None):
         if cache is not None:
             return x + cache
@@ -18,12 +17,12 @@ class MyMod(torch.nn.Module):
 
 
 class MyWrapper(TorchCompileWrapperWithCustomDispatcher):
-
     def __init__(self, model):
         self.model = model
         compiled_callable = torch.compile(self.forward, backend="eager")
-        super().__init__(compiled_callable,
-                         compilation_level=CompilationLevel.DYNAMO_ONCE)
+        super().__init__(
+            compiled_callable, compilation_level=CompilationLevel.DYNAMO_ONCE
+        )
 
     def forward(self, x: torch.Tensor, cache: Optional[torch.Tensor] = None):
         # this is the function to be compiled
@@ -54,10 +53,8 @@ def test_torch_compile_wrapper():
 
         # for new input, dispatch to the compiled code directly
         new_x = torch.tensor([3])
-        assert wrapper(new_x,
-                       None).item() == 6  # dispatch to the first compiled code
-        assert wrapper(
-            new_x, cache).item() == 5  # dispatch to the second compiled code
+        assert wrapper(new_x, None).item() == 6  # dispatch to the first compiled code
+        assert wrapper(new_x, cache).item() == 5  # dispatch to the second compiled code
 
     for wrapper in wrappers:
         # make sure they have independent compiled codes