adding an minor iteration comparission cap
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d62cdf3aeb
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@ -222,7 +222,7 @@ public class Datahandler {
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hlStatsMessages.put(str, hlStatsMessages.size());
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}
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}
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int capacity = 1500;
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int capacity = 5500;
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hlStatsMessages.keySet().forEach(str -> {
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if (!str.startsWith("!") && MessageResponseHandler.getStr().values().size() < capacity) {
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String orElse = strCacheLocal.values().parallelStream().filter(e -> e.equals(str)).findAny().orElse(null);
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@ -319,7 +319,20 @@ public class Datahandler {
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SentimentValueCache sentimentCacheStr = sentimentCachingMap.getOrDefault(str, null);
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List<SimilarityMatrix> smxReturnList = new ArrayList();
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ExecutorService smxService = Executors.newFixedThreadPool(6);
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List<String> randomIterationComparision = new ArrayList();
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int iteratecap = strCacheLocal.size() > 150 ? strCacheLocal.size() - 150 : strCacheLocal.size();
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int iterator = ThreadLocalRandom.current().nextInt(0, iteratecap);
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int iterated = 0;
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for (String str1 : strCacheLocal.values()) {
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if (iterated >= iterator && iterated < iterator + 150) {
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randomIterationComparision.add(str1);
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}
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if (iterated > iterator + 150) {
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break;
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}
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iterated++;
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}
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for (String str1 : randomIterationComparision) {
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if (!str.equals(str1)) {
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SimilarityMatrix SMXInit = new SimilarityMatrix(str, str1);
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SentimentValueCache sentimentCacheStr1 = sentimentCachingMap.getOrDefault(str1, null);
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@ -340,6 +353,7 @@ public class Datahandler {
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SimilarityMatrix SMX = future.get();
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if (SMX != null) {
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smxReturnList.add(SMX);
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//System.out.println("added SMX: " + SMX.getPrimaryString() + "\n" + SMX.getSecondaryString() + "\n\n");
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}
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} catch (InterruptedException | ExecutionException ex) {
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//System.out.println("failed future get");
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@ -783,7 +797,7 @@ public class Datahandler {
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// System.out.println("iterator: " + annCollector.i + "\nstr size: " + str.size() + "\n");
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}
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try {
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Thread.sleep(4000);
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Thread.sleep(10000);
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} catch (InterruptedException ex) {
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Logger.getLogger(Datahandler.class.getName()).log(Level.SEVERE, null, ex);
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}
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