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

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

tests/tpu/test_quantization_accuracy.py

@@ -17,15 +17,15 @@ class GSM8KAccuracyTestConfig:
     expected_value: float
 
     def get_model_args(self) -> str:
-        return (f"pretrained={self.model_name},"
-                "max_model_len=4096,max_num_seqs=32")
+        return f"pretrained={self.model_name},max_model_len=4096,max_num_seqs=32"
 
 
 # NOTE: Accuracy scores measured on GPUs.
 ACCURACY_CONFIGS = [
     GSM8KAccuracyTestConfig(
         model_name="neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
-        expected_value=0.76),  # no bias
+        expected_value=0.76,
+    ),  # no bias
     # NOTE(rob): We cannot re-initialize vLLM in the same process for TPU,
     # so only one of these tests can run in a single call to pytest. As
     # a follow-up, move this into the LM-EVAL section of the CI.
@@ -37,7 +37,6 @@ ACCURACY_CONFIGS = [
 
 @pytest.mark.parametrize("config", ACCURACY_CONFIGS)
 def test_gsm8k_correctness(config: GSM8KAccuracyTestConfig):
-
     results = lm_eval.simple_evaluate(
         model="vllm",
         model_args=config.get_model_args(),
@@ -47,6 +46,7 @@ def test_gsm8k_correctness(config: GSM8KAccuracyTestConfig):
 
     EXPECTED_VALUE = config.expected_value
     measured_value = results["results"][TASK][FILTER]
-    assert (measured_value - RTOL < EXPECTED_VALUE
-            and measured_value + RTOL > EXPECTED_VALUE
-            ), f"Expected: {EXPECTED_VALUE} |  Measured: {measured_value}"
+    assert (
+        measured_value - RTOL < EXPECTED_VALUE
+        and measured_value + RTOL > EXPECTED_VALUE
+    ), f"Expected: {EXPECTED_VALUE} |  Measured: {measured_value}"