feat: template inspiration program type

Author: FunMelon

openevolve/prompt/sampler.py

@@ -474,21 +474,20 @@ def _determine_program_type(
 
         # Check metadata for explicit type markers
         if metadata.get("diverse", False):
-            return "Diverse"
+            return self.template_manager.get_fragment("inspiration_type_diverse")
         if metadata.get("migrant", False):
-            return "Migrant"
+            return self.template_manager.get_fragment("inspiration_type_migrant")
         if metadata.get("random", False):
-            return "Random"
-
+            return self.template_manager.get_fragment("inspiration_type_random")
         # Classify based on score ranges
         if score >= 0.8:
-            return "High-Performer"
+            return self.template_manager.get_fragment("inspiration_type_score_high_performer")
         elif score >= 0.6:
-            return "Alternative"
+            return self.template_manager.get_fragment("inspiration_type_score_alternative")
         elif score >= 0.4:
-            return "Experimental"
+            return self.template_manager.get_fragment("inspiration_type_score_experimental")
         else:
-            return "Exploratory"
+            return self.template_manager.get_fragment("inspiration_type_score_exploratory")
 
     def _extract_unique_features(self, program: Dict[str, Any]) -> str:
         """

openevolve/prompts/defaults/fragments.json

@@ -22,5 +22,12 @@
   "attempt_all_metrics_regressed": "Regression in all metrics",
   "attempt_mixed_metrics": "Mixed results",
   "top_program_metrics_prefix": "Performs well on",
-  "diverse_program_metrics_prefix": "Alternative approach to"
+  "diverse_program_metrics_prefix": "Alternative approach to",
+  "inspiration_type_diverse": "Diverse",
+  "inspiration_type_migrant": "Migrant",
+  "inspiration_type_random": "Random",
+  "inspiration_type_score_high_performer": "High-Performer",
+  "inspiration_type_score_alternative": "Alternative",
+  "inspiration_type_score_experimental": "Experimental",
+  "inspiration_type_score_exploratory": "Exploratory"
 }