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

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

tests/config/test_config_generation.py

@@ -14,8 +14,9 @@ def test_cuda_empty_vs_unset_configs(monkeypatch: pytest.MonkeyPatch):
     """
 
     def create_config():
-        engine_args = EngineArgs(model="deepseek-ai/DeepSeek-V2-Lite",
-                                 trust_remote_code=True)
+        engine_args = EngineArgs(
+            model="deepseek-ai/DeepSeek-V2-Lite", trust_remote_code=True
+        )
         return engine_args.create_engine_config()
 
     # Create config with CUDA_VISIBLE_DEVICES set normally
@@ -34,16 +35,18 @@ def test_cuda_empty_vs_unset_configs(monkeypatch: pytest.MonkeyPatch):
     empty_config_dict.pop("instance_id", None)
 
     assert deep_compare(normal_config_dict, empty_config_dict), (
-        "Configs with normal CUDA_VISIBLE_DEVICES and CUDA_VISIBLE_DEVICES=\"\""
-        " should be equivalent")
+        'Configs with normal CUDA_VISIBLE_DEVICES and CUDA_VISIBLE_DEVICES=""'
+        " should be equivalent"
+    )
 
 
 def test_ray_runtime_env(monkeypatch: pytest.MonkeyPatch):
     # In testing, this method needs to be nested inside as ray does not
     # see the test module.
     def create_config():
-        engine_args = EngineArgs(model="deepseek-ai/DeepSeek-V2-Lite",
-                                 trust_remote_code=True)
+        engine_args = EngineArgs(
+            model="deepseek-ai/DeepSeek-V2-Lite", trust_remote_code=True
+        )
         return engine_args.create_engine_config()
 
     config = create_config()
@@ -51,6 +54,7 @@ def test_ray_runtime_env(monkeypatch: pytest.MonkeyPatch):
     assert parallel_config.ray_runtime_env is None
 
     import ray
+
     ray.init()
 
     runtime_env = {
@@ -59,13 +63,13 @@ def test_ray_runtime_env(monkeypatch: pytest.MonkeyPatch):
         },
     }
 
-    config_ref = ray.remote(create_config).options(
-        runtime_env=runtime_env).remote()
+    config_ref = ray.remote(create_config).options(runtime_env=runtime_env).remote()
 
     config = ray.get(config_ref)
     parallel_config = config.parallel_config
     assert parallel_config.ray_runtime_env is not None
-    assert parallel_config.ray_runtime_env.env_vars().get(
-        "TEST_ENV_VAR") == "test_value"
+    assert (
+        parallel_config.ray_runtime_env.env_vars().get("TEST_ENV_VAR") == "test_value"
+    )
 
     ray.shutdown()

tests/config/test_mp_reducer.py

@@ -16,13 +16,13 @@ def test_mp_reducer(monkeypatch):
     """
 
     # Use V1 AsyncLLM which calls maybe_register_config_serialize_by_value
-    monkeypatch.setenv('VLLM_USE_V1', '1')
+    monkeypatch.setenv("VLLM_USE_V1", "1")
 
     # Ensure transformers_modules is not in sys.modules
-    if 'transformers_modules' in sys.modules:
-        del sys.modules['transformers_modules']
+    if "transformers_modules" in sys.modules:
+        del sys.modules["transformers_modules"]
 
-    with patch('multiprocessing.reducer.register') as mock_register:
+    with patch("multiprocessing.reducer.register") as mock_register:
         engine_args = AsyncEngineArgs(
             model="facebook/opt-125m",
             max_model_len=32,
@@ -36,7 +36,8 @@ def test_mp_reducer(monkeypatch):
         )
 
         assert mock_register.called, (
-            "multiprocessing.reducer.register should have been called")
+            "multiprocessing.reducer.register should have been called"
+        )
 
         vllm_config_registered = False
         for call_args in mock_register.call_args_list:
@@ -45,8 +46,7 @@ def test_mp_reducer(monkeypatch):
                 vllm_config_registered = True
 
                 reducer_func = call_args[0][1]
-                assert callable(
-                    reducer_func), "Reducer function should be callable"
+                assert callable(reducer_func), "Reducer function should be callable"
                 break
 
         assert vllm_config_registered, (