address nits

llama_stack/providers/impls/meta_reference/scoring/scoring.py

@@ -61,9 +61,9 @@ class MetaReferenceScoringImpl(Scoring, ScoringFunctionsProtocolPrivate):
 
     async def list_scoring_functions(self) -> List[ScoringFnDef]:
         return [
-            fn_defs
+            fn_def
             for impl in self.scoring_fn_id_impls.values()
-            for fn_defs in impl.get_supported_scoring_fn_defs()
+            for fn_def in impl.get_supported_scoring_fn_defs()
         ]
 
     async def register_scoring_function(self, function_def: ScoringFnDef) -> None:

llama_stack/providers/impls/meta_reference/scoring/scoring_fn/equality_scoring_fn.py

@@ -16,7 +16,7 @@ from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.common import
 )
 
 from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.fn_defs.equality import (
-    equality_fn_def,
+    equality,
 )
 
 
@@ -28,7 +28,7 @@ class EqualityScoringFn(BaseScoringFn):
     def __init__(self, *args, **kwargs) -> None:
         super().__init__(*args, **kwargs)
         self.supported_fn_defs_registry = {
-            equality_fn_def.identifier: equality_fn_def,
+            equality.identifier: equality,
         }
 
     async def score_row(

llama_stack/providers/impls/meta_reference/scoring/scoring_fn/fn_defs/equality.py

@@ -8,7 +8,7 @@ from llama_stack.apis.common.type_system import NumberType
 from llama_stack.apis.scoring_functions import ScoringFnDef
 
 
-equality_fn_def = ScoringFnDef(
+equality = ScoringFnDef(
     identifier="meta-reference::equality",
     description="Returns 1.0 if the input is equal to the target, 0.0 otherwise.",
     parameters=[],

llama_stack/providers/impls/meta_reference/scoring/scoring_fn/fn_defs/llm_as_judge_8b_correctness.py

@@ -22,7 +22,8 @@ System Answer: {generated_answer}
 Feedback:::
 Total rating:
 """
-llm_as_judge_8b_correctness_fn_def = ScoringFnDef(
+
+llm_as_judge_8b_correctness = ScoringFnDef(
     identifier="meta-reference::llm_as_judge_8b_correctness",
     description="Llm As Judge Scoring Function",
     parameters=[],

llama_stack/providers/impls/meta_reference/scoring/scoring_fn/fn_defs/subset_of.py

@@ -8,7 +8,7 @@ from llama_stack.apis.common.type_system import NumberType
 from llama_stack.apis.scoring_functions import ScoringFnDef
 
 
-subset_of_fn_def = ScoringFnDef(
+subset_of = ScoringFnDef(
     identifier="meta-reference::subset_of",
     description="Returns 1.0 if the expected is included in generated, 0.0 otherwise.",
     parameters=[],

llama_stack/providers/impls/meta_reference/scoring/scoring_fn/llm_as_judge_scoring_fn.py

@@ -16,7 +16,7 @@ from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.common import
     aggregate_average,
 )
 from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.fn_defs.llm_as_judge_8b_correctness import (
-    llm_as_judge_8b_correctness_fn_def,
+    llm_as_judge_8b_correctness,
 )
 
 
@@ -29,7 +29,7 @@ class LlmAsJudgeScoringFn(BaseScoringFn):
         super().__init__(*arg, **kwargs)
         self.inference_api = inference_api
         self.supported_fn_defs_registry = {
-            llm_as_judge_8b_correctness_fn_def.identifier: llm_as_judge_8b_correctness_fn_def,
+            llm_as_judge_8b_correctness.identifier: llm_as_judge_8b_correctness,
         }
 
     async def score_row(

llama_stack/providers/impls/meta_reference/scoring/scoring_fn/subset_of_scoring_fn.py

@@ -15,7 +15,7 @@ from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.common import
 )
 
 from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.fn_defs.subset_of import (
-    subset_of_fn_def,
+    subset_of,
 )
 
 
@@ -27,7 +27,7 @@ class SubsetOfScoringFn(BaseScoringFn):
     def __init__(self, *args, **kwargs) -> None:
         super().__init__(*args, **kwargs)
         self.supported_fn_defs_registry = {
-            subset_of_fn_def.identifier: subset_of_fn_def,
+            subset_of.identifier: subset_of,
         }
 
     async def score_row(