Fixed the case where one of the alternative of an ambiguity is an emp…

src/org/rascalmpl/library/util/ErrorRecovery.java

@@ -31,10 +31,12 @@ public ErrorRecovery(IRascalValueFactory rascalValues) {
     private static class ScoredTree {
         public final IConstructor tree;
         public final int score;
+        public final boolean hasErrors;
 
-        public ScoredTree(IConstructor tree, int score) {
+        public ScoredTree(IConstructor tree, int score, boolean hasErrors) {
             this.tree = tree;
             this.score = score;
+            this.hasErrors = hasErrors;
         }
     }
 
@@ -60,8 +62,8 @@ private ScoredTree disambiguate(IConstructor tree, boolean allowAmbiguity, boole
         } else if (type == RascalValueFactory.Tree_Amb) {
             result = disambiguateAmb((ITree) tree, allowAmbiguity, buildTree, processedTrees);
         } else {
-            // Other trees (cycle, char) do not have subtrees so they have a score of 0
-            result = new ScoredTree(tree, 0);
+            // Other trees (cycle, char) do not have subtrees so they have a score of 0 and no errors
+            result = new ScoredTree(tree, 0, false);
         }
 
         return result;
@@ -74,17 +76,19 @@ private ScoredTree disambiguateAppl(ITree appl, boolean allowAmbiguity, boolean
         }
 
         if (ProductionAdapter.isSkipped(appl.getProduction())) {
-            result = new ScoredTree(appl, ((IList) appl.get(1)).length());
+            result = new ScoredTree(appl, ((IList) appl.get(1)).length(), true);
         } else {
             IList args = TreeAdapter.getArgs(appl);
             int totalScore = 0;
+            boolean hasErrors = false;
             IListWriter disambiguatedArgs = null;
 
             // Disambiguate and score all children
             for (int i=0; i<args.size(); i++) {
                 IValue arg = args.get(i);
                 ScoredTree disambiguatedArg = disambiguate((IConstructor) arg, allowAmbiguity, buildTree, processedTrees);
                 totalScore += disambiguatedArg.score;
+                hasErrors |= disambiguatedArg.hasErrors;
                 if (buildTree && disambiguatedArg.tree != arg && disambiguatedArgs == null) {
                     disambiguatedArgs = rascalValues.listWriter();
                     for (int j=0; j<i; j++) {
@@ -107,7 +111,7 @@ private ScoredTree disambiguateAppl(ITree appl, boolean allowAmbiguity, boolean
                 resultTree = appl;
             }
 
-            result = new ScoredTree(resultTree, totalScore);
+            result = new ScoredTree(resultTree, totalScore, hasErrors);
         }
 
         processedTrees.put(appl, result);
@@ -128,17 +132,17 @@ private ScoredTree disambiguateAmb(ITree amb, boolean allowAmbiguity, boolean bu
         ScoredTree errorAltWithBestScore = null;
         for (IValue alt : originalAlts) {
             ScoredTree disambiguatedAlt = disambiguate((IConstructor) alt, allowAmbiguity, buildTree, processedTrees);
-            if (disambiguatedAlt.score == 0) {
+            if (disambiguatedAlt.hasErrors) {
+                // Only keep the best of the error trees
+                if (errorAltWithBestScore == null || errorAltWithBestScore.score > disambiguatedAlt.score) {
+                    errorAltWithBestScore = disambiguatedAlt;
+                }
+            } else {
                 // Non-error tree
                 if (alternativesWithoutErrors == null) {
                     alternativesWithoutErrors = rascalValues.setWriter();
                 }
                 alternativesWithoutErrors.insert(disambiguatedAlt.tree);
-            } else {
-                // Only keep the best of the error trees
-                if (errorAltWithBestScore == null || errorAltWithBestScore.score > disambiguatedAlt.score) {
-                    errorAltWithBestScore = disambiguatedAlt;
-                }
             }
         }
 
@@ -171,7 +175,7 @@ private ScoredTree disambiguateAmb(ITree amb, boolean allowAmbiguity, boolean bu
             }
         }
 
-        result = new ScoredTree(resultTree, 0);
+        result = new ScoredTree(resultTree, 0, false);
         processedTrees.put(amb, result);
 
         return result;