style: format

benchmarks/financebench/evaluate_financebench.py

@@ -482,7 +482,7 @@ class FinanceBenchEvaluator:
         self, generated_answer: str, ground_truth: str, question: str
     ) -> bool:
         """Check if generated answer matches ground truth using LLM as judge"""
-        judge_prompt = f"""You are an expert judge evaluating financial question answering. 
+        judge_prompt = f"""You are an expert judge evaluating financial question answering.
 
 Question: {question}
 

benchmarks/laion/.gitignore

@@ -1 +1 @@
-data/
+data/

benchmarks/laion/README.md

@@ -166,4 +166,4 @@ benchmarks/laion/
 - For real LAION data, implement actual download logic in `setup_laion.py`
 - CLIP embeddings are randomly generated - replace with real CLIP model for production
 - Adjust `num_samples` and `num_queries` based on available resources
-- Consider using `--num-samples` during evaluation for faster testing
+- Consider using `--num-samples` during evaluation for faster testing

benchmarks/laion/evaluate_laion.py

@@ -323,7 +323,10 @@ class LAIONEvaluator:
                     f"  Storage saving by compact: {timing_metrics.get('storage_saving_percent', 0):.1f}%"
                 )
                 # Show excluded components for reference if available
-                if any(k in non_compact for k in ("passages_text_mb", "passages_index_mb", "metadata_mb")):
+                if any(
+                    k in non_compact
+                    for k in ("passages_text_mb", "passages_index_mb", "metadata_mb")
+                ):
                     print("  (passages excluded in totals, shown for reference):")
                     print(
                         f"    - Passages text: {non_compact.get('passages_text_mb', 0):.1f} MB, "
@@ -333,7 +336,9 @@ class LAIONEvaluator:
             else:
                 # Fallback to legacy totals if running with older metrics
                 print("\n📏 Index Comparison Analysis:")
-                print(f"  Compact index (current): {current.get('total_with_embeddings', 0):.1f} MB")
+                print(
+                    f"  Compact index (current): {current.get('total_with_embeddings', 0):.1f} MB"
+                )
                 print(
                     f"  Non-compact index (with embeddings): {non_compact.get('total_with_embeddings', 0):.1f} MB"
                 )