fix: resolve ruff linting errors

- Remove unused variables in benchmark scripts
- Rename unused loop variables to follow convention

benchmarks/financebench/evaluate_financebench.py

@@ -322,7 +322,7 @@ class FinanceBenchEvaluator:
 
         for query in test_queries:
             start_time = time.time()
-            search_results = non_compact_searcher.search(
+            _ = non_compact_searcher.search(
                 query, top_k=3, complexity=complexity, recompute_embeddings=False
             )
             search_time = time.time() - start_time
@@ -334,7 +334,7 @@ class FinanceBenchEvaluator:
 
         for query in test_queries:
             start_time = time.time()
-            search_results = compact_searcher.search(
+            _ = compact_searcher.search(
                 query, top_k=3, complexity=complexity, recompute_embeddings=True
             )
             search_time = time.time() - start_time
@@ -802,7 +802,7 @@ def main():
             print(
                 f"  Non-compact index: {non_compact_size_metrics['total_with_embeddings']:.1f} MB"
             )
-            size_increase = (
+            _ = (
                 (
                     non_compact_size_metrics["total_with_embeddings"]
                     - compact_size_metrics["total_with_embeddings"]

benchmarks/laion/evaluate_laion.py

@@ -259,7 +259,7 @@ class LAIONEvaluator:
 
         for caption in test_queries:
             start_time = time.time()
-            search_results = non_compact_searcher.search(
+            _ = non_compact_searcher.search(
                 caption, top_k=3, complexity=complexity, recompute_embeddings=False
             )
             search_time = time.time() - start_time
@@ -271,7 +271,7 @@ class LAIONEvaluator:
 
         for caption in test_queries:
             start_time = time.time()
-            search_results = compact_searcher.search(
+            _ = compact_searcher.search(
                 caption, top_k=3, complexity=complexity, recompute_embeddings=True
             )
             search_time = time.time() - start_time

benchmarks/laion/setup_laion.py

@@ -76,7 +76,7 @@ class LAIONSetup:
         # Collect sample metadata first (fast)
         print("📋 Collecting sample metadata...")
         candidates = []
-        for i, sample in enumerate(dataset):
+        for sample in dataset:
             if len(candidates) >= num_samples * 3:  # Get 3x more candidates in case some fail
                 break
 
@@ -377,7 +377,7 @@ class LAIONSetup:
     def _add_passages_with_embeddings(self, builder, passages_file: Path, embeddings: np.ndarray):
         """Helper to add passages with pre-computed CLIP embeddings"""
         with open(passages_file, encoding="utf-8") as f:
-            for i, line in enumerate(tqdm(f, desc="Adding passages")):
+            for line in tqdm(f, desc="Adding passages"):
                 if line.strip():
                     passage = json.loads(line)