Ruff lint

Author: adaamko

rulechef/evaluation.py

@@ -326,7 +326,7 @@ def _match_entities_partial(
     # Greedy match: best IoU first
     candidates.sort(key=lambda x: -x[0])
     used_pred = set()
-    for iou, pi, gi in candidates:
+    for _iou, pi, gi in candidates:
         if pi in used_pred or gi in used_gold:
             continue
         matched_pairs.append((predicted[pi], expected[gi]))

rulechef/learner.py

@@ -628,13 +628,6 @@ def _run_critic(self, rules, dataset, coordinator, eval_result):
         dataset.structured_feedback = [
             f for f in dataset.structured_feedback if f.source != "critic"
         ]
-        # Also clean legacy feedback list
-        critic_task_texts = {
-            f.text
-            for f in dataset.structured_feedback
-            if f.source == "critic" and f.level == "task"
-        }
-
         added_rule = 0
         added_task = 0