Format QAEvaluator changes with black

Author: nagkumar91

sdk/evaluation/azure-ai-evaluation/azure/ai/evaluation/_evaluators/_qa/_qa.py

@@ -105,11 +105,31 @@ def __init__(
         is_reasoning_model = kwargs.get("is_reasoning_model", False)
 
         evaluators = [
-            GroundednessEvaluator(model_config, threshold=groundedness_threshold, is_reasoning_model=is_reasoning_model),
-            RelevanceEvaluator(model_config, threshold=relevance_threshold, is_reasoning_model=is_reasoning_model),
-            CoherenceEvaluator(model_config, threshold=coherence_threshold, is_reasoning_model=is_reasoning_model),
-            FluencyEvaluator(model_config, threshold=fluency_threshold, is_reasoning_model=is_reasoning_model),
-            SimilarityEvaluator(model_config, threshold=similarity_threshold, is_reasoning_model=is_reasoning_model),
+            GroundednessEvaluator(
+                model_config,
+                threshold=groundedness_threshold,
+                is_reasoning_model=is_reasoning_model,
+            ),
+            RelevanceEvaluator(
+                model_config,
+                threshold=relevance_threshold,
+                is_reasoning_model=is_reasoning_model,
+            ),
+            CoherenceEvaluator(
+                model_config,
+                threshold=coherence_threshold,
+                is_reasoning_model=is_reasoning_model,
+            ),
+            FluencyEvaluator(
+                model_config,
+                threshold=fluency_threshold,
+                is_reasoning_model=is_reasoning_model,
+            ),
+            SimilarityEvaluator(
+                model_config,
+                threshold=similarity_threshold,
+                is_reasoning_model=is_reasoning_model,
+            ),
             F1ScoreEvaluator(threshold=f1_score_threshold),
         ]
         super().__init__(evaluators=evaluators, **kwargs)

sdk/evaluation/azure-ai-evaluation/tests/unittests/test_qa_evaluator.py

@@ -13,9 +13,9 @@ def test_is_reasoning_model_passed_to_sub_evaluators(self, mock_model_config):
         for evaluator in qa_evaluator._evaluators:
             # F1ScoreEvaluator doesn't use LLM, so it doesn't have _is_reasoning_model
             if hasattr(evaluator, "_is_reasoning_model"):
-                assert evaluator._is_reasoning_model is True, (
-                    f"{type(evaluator).__name__} did not receive is_reasoning_model=True"
-                )
+                assert (
+                    evaluator._is_reasoning_model is True
+                ), f"{type(evaluator).__name__} did not receive is_reasoning_model=True"
 
     def test_is_reasoning_model_defaults_to_false(self, mock_model_config):
         """Test that is_reasoning_model defaults to False for sub-evaluators"""
@@ -24,6 +24,6 @@ def test_is_reasoning_model_defaults_to_false(self, mock_model_config):
         # Verify that all LLM-based sub-evaluators have is_reasoning_model=False
         for evaluator in qa_evaluator._evaluators:
             if hasattr(evaluator, "_is_reasoning_model"):
-                assert evaluator._is_reasoning_model is False, (
-                    f"{type(evaluator).__name__} did not default to is_reasoning_model=False"
-                )
+                assert (
+                    evaluator._is_reasoning_model is False
+                ), f"{type(evaluator).__name__} did not default to is_reasoning_model=False"