Some more performance refactoring.

java/ql/automodel/src/AutomodelApplicationModeExtractNegativeExamples.ql

@@ -40,13 +40,11 @@ Endpoint getSampleForCharacteristic(EndpointCharacteristic c, int limit) {
   )
 }
 
-from
-  Endpoint endpoint, EndpointCharacteristic characteristic, float confidence, string message,
-  ApplicationModeMetadataExtractor meta, DollarAtString package, DollarAtString type,
-  DollarAtString subtypes, DollarAtString name, DollarAtString signature, DollarAtString input,
-  DollarAtString output, DollarAtString isVarargsArray, DollarAtString extensibleType
-where
-  endpoint = getSampleForCharacteristic(characteristic, 100) and
+predicate candidate(
+  Endpoint endpoint, EndpointCharacteristic characteristic, float confidence, string package,
+  string type, string subtypes, string name, string signature, string input, string output,
+  string isVarargsArray, string extensibleType
+) {
   // the node is know not to be an endpoint of any appropriate type
   forall(EndpointType tp | tp = endpoint.getAPotentialType() |
     characteristic.hasImplications(tp, false, _)
@@ -54,15 +52,27 @@ where
   // the lowest confidence across all endpoint types should be at least highConfidence
   confidence = min(float c | characteristic.hasImplications(endpoint.getAPotentialType(), false, c)) and
   confidence >= SharedCharacteristics::highConfidence() and
-  meta.hasMetadata(endpoint, package, type, subtypes, name, signature, input, output,
-    isVarargsArray, _, extensibleType) and
+  any(ApplicationModeMetadataExtractor meta)
+      .hasMetadata(endpoint, package, type, subtypes, name, signature, input, output,
+        isVarargsArray, _, extensibleType) and
   // It's valid for a node to be both a potential source/sanitizer and a sink. We don't want to include such nodes
   // as negative examples in the prompt, because they're ambiguous and might confuse the model, so we explicitly them here.
   not exists(EndpointCharacteristic characteristic2, float confidence2, EndpointType type2 |
     characteristic2.appliesToEndpoint(endpoint) and
     confidence2 >= SharedCharacteristics::maximalConfidence() and
     characteristic2.hasImplications(type2, true, confidence2)
-  ) and
+  )
+}
+
+from
+  Endpoint endpoint, EndpointCharacteristic characteristic, float confidence, string message,
+  DollarAtString package, DollarAtString type, DollarAtString subtypes, DollarAtString name,
+  DollarAtString signature, DollarAtString input, DollarAtString output,
+  DollarAtString isVarargsArray, DollarAtString extensibleType
+where
+  endpoint = getSampleForCharacteristic(characteristic, 100) and
+  candidate(endpoint, characteristic, confidence, package, type, subtypes, name, signature, input,
+    output, isVarargsArray, extensibleType) and
   message = characteristic
 select endpoint.asNode(),
   message + "\nrelated locations: $@, $@, $@." + "\nmetadata: $@, $@, $@, $@, $@, $@, $@, $@, $@.", //