diff --git a/ArtificialAutism/src/main/java/FunctionLayer/Datahandler.java b/ArtificialAutism/src/main/java/FunctionLayer/Datahandler.java
index bfb8c644..70f34124 100644
--- a/ArtificialAutism/src/main/java/FunctionLayer/Datahandler.java
+++ b/ArtificialAutism/src/main/java/FunctionLayer/Datahandler.java
@@ -220,7 +220,7 @@ public class Datahandler {
                 hlStatsMessages.put(str, hlStatsMessages.size());
             }
         }
-        int capacity = 1250;
+        int capacity = 250;
         hlStatsMessages.keySet().forEach(str -> {
             if (!str.startsWith("!") && MessageResponseHandler.getStr().values().size() < capacity) {
                 String orElse = strCacheLocal.values().parallelStream().filter(e -> e.equals(str)).findAny().orElse(null);
@@ -305,11 +305,11 @@ public class Datahandler {
     }
 
     private List<SimilarityMatrix> StrComparringNoSentenceRelationMap(
-            ConcurrentMap<Integer, String> strCacheLocal, Collection<String> str, ConcurrentMap<String, Annotation> localJMWEMap,
+            ConcurrentMap<Integer, String> strCacheLocal, Collection<String> strCollection, ConcurrentMap<String, Annotation> localJMWEMap,
             ConcurrentMap<String, Annotation> localPipelineAnnotation, ConcurrentMap<String, Annotation> localPipelineSentimentAnnotation,
             ConcurrentMap<String, CoreDocument> localCoreDocumentMap, CompletionService<SimilarityMatrix> ecs, int index) {
         int prefix_size = 125;
-        SentimentValueCache sentimentCacheStr = sentimentCachingMap.getOrDefault(str, null);
+        SentimentValueCache sentimentCacheStr = sentimentCachingMap.getOrDefault(strCollection, null);
         List<SimilarityMatrix> smxReturnList = new ArrayList();
         List<String> randomIterationComparision = new ArrayList();
         int iteratecap = strCacheLocal.size() > prefix_size ? strCacheLocal.size() - prefix_size : strCacheLocal.size();
@@ -325,18 +325,18 @@ public class Datahandler {
             iterated++;
         }
         for (String str1 : randomIterationComparision) {
-            for (String str2 : str) {
-                if (!str2.equals(str1)) {
-                    SimilarityMatrix SMXInit = new SimilarityMatrix(str2, str1);
+            for (String str : strCollection) {
+                if (!str.equals(str1)) {
+                    SimilarityMatrix SMXInit = new SimilarityMatrix(str, str1);
                     SentimentValueCache sentimentCacheStr1 = sentimentCachingMap.getOrDefault(str1, null);
                     Callable<SimilarityMatrix> worker;
                     if (stringCache.size() < prefix_size) {
-                        worker = new SentimentAnalyzerTest(str2, str1, SMXInit,
+                        worker = new SentimentAnalyzerTest(str, str1, SMXInit,
                                 localJMWEMap.get(str), localJMWEMap.get(str1), localPipelineAnnotation.get(str),
                                 localPipelineAnnotation.get(str1), localPipelineSentimentAnnotation.get(str),
                                 localPipelineSentimentAnnotation.get(str1), localCoreDocumentMap.get(str), localCoreDocumentMap.get(str1), sentimentCacheStr, sentimentCacheStr1);
                     } else {
-                        worker = new SentimentAnalyzerTest(str2, str1, SMXInit,
+                        worker = new SentimentAnalyzerTest(str, str1, SMXInit,
                                 localJMWEMap.get(str), jmweAnnotationCache.get(str1), localPipelineAnnotation.get(str),
                                 pipelineAnnotationCache.get(str1), localPipelineSentimentAnnotation.get(str),
                                 pipelineSentimentAnnotationCache.get(str1), localCoreDocumentMap.get(str), coreDocumentAnnotationCache.get(str1), sentimentCacheStr, sentimentCacheStr1);
@@ -350,8 +350,17 @@ public class Datahandler {
             try {
                 Future<SimilarityMatrix> take = ecs.take();
                 SimilarityMatrix smx = take.get();
-                if (smx != null && !smxReturnList.contains(smx)) {
-                    smxReturnList.add(smx);
+                if (smx != null) {
+                    boolean present = false;
+                    for (SimilarityMatrix str_smx : smxReturnList) {
+                        if (str_smx.getPrimaryString().equals(smx.getPrimaryString())) {
+                            present = true;
+                            break;
+                        }
+                    }
+                    if (!present) {
+                        smxReturnList.add(smx);
+                    }
                 }
             } catch (InterruptedException | ExecutionException ex) {
                 //
@@ -376,7 +385,7 @@ public class Datahandler {
         //System.out.println("StrComparringNoSentenceRelationMap size: " + StrComparringNoSentenceRelationMap.size());
         Collections.sort(StrComparringNoSentenceRelationMap, (e1, e2) -> e1.getPrimaryString().compareTo(e2.getPrimaryString()));
         ConcurrentMap<Integer, String> strmapreturn = futuresReturnOverallEvaluation(StrComparringNoSentenceRelationMap);
-        //System.out.println("strmapreturn size: " + strmapreturn.size());
+        System.out.println("strmapreturn size: " + strmapreturn.size());
         return strmapreturn;
     }