Example usage for java.util.concurrent.locks Lock lock

List of usage examples for java.util.concurrent.locks Lock lock

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Introduction

In this page you can find the example usage for java.util.concurrent.locks Lock lock.

Prototype

lock

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Usage

From source file:net.myrrix.online.ServerRecommender.java

@Override
public List<RecommendedItem> recommendToAnonymous(long[] itemIDs, float[] values, int howMany,
        IDRescorer rescorer) throws NotReadyException, NoSuchItemException {

    Preconditions.checkArgument(howMany > 0, "howMany must be positive");

    float[] anonymousUserFeatures = buildAnonymousUserFeatures(itemIDs, values);

    FastIDSet userKnownItemIDs = new FastIDSet(itemIDs.length);
    for (long itemID : itemIDs) {
        userKnownItemIDs.add(itemID);//from www .  ja  v  a2s. c  o  m
    }

    float[][] anonymousFeaturesAsArray = { anonymousUserFeatures };

    Generation generation = getCurrentGeneration();
    Lock yLock = generation.getYLock().readLock();
    yLock.lock();
    try {
        return multithreadedTopN(anonymousFeaturesAsArray, userKnownItemIDs, generation.getUserTagIDs(),
                rescorer, howMany, generation.getCandidateFilter());
    } finally {
        yLock.unlock();
    }
}

From source file:net.myrrix.online.ServerRecommender.java

@Override
public int getNumUserClusters() throws NotReadyException {
    Generation generation = getCurrentGeneration();
    Collection<IDCluster> clusters = generation.getUserClusters();
    if (clusters == null || clusters.isEmpty()) {
        throw new UnsupportedOperationException();
    }/*w ww .ja  v a  2s  . co m*/
    Lock lock = generation.getUserClustersLock().readLock();
    lock.lock();
    try {
        return clusters.size();
    } finally {
        lock.unlock();
    }
}

From source file:net.myrrix.online.ServerRecommender.java

@Override
public int getNumItemClusters() throws NotReadyException {
    Generation generation = getCurrentGeneration();
    Collection<IDCluster> clusters = generation.getItemClusters();
    if (clusters == null || clusters.isEmpty()) {
        throw new UnsupportedOperationException();
    }/*w  w  w.  j a  va  2 s .  c o  m*/
    Lock lock = generation.getItemClustersLock().readLock();
    lock.lock();
    try {
        return clusters.size();
    } finally {
        lock.unlock();
    }
}

From source file:net.myrrix.online.ServerRecommender.java

/**
 * One-argument version of {@link #mostSimilarItems(long[], int, Rescorer)}.
 *///from  w  ww  . j  a  v a2  s. c o  m
@Override
public List<RecommendedItem> mostSimilarItems(long itemID, int howMany, Rescorer<LongPair> rescorer)
        throws NoSuchItemException, NotReadyException {

    Preconditions.checkArgument(howMany > 0, "howMany must be positive");

    Generation generation = getCurrentGeneration();
    FastByIDMap<float[]> Y = generation.getY();

    Lock yLock = generation.getYLock().readLock();
    yLock.lock();
    try {

        float[] itemFeatures = Y.get(itemID);
        if (itemFeatures == null) {
            throw new NoSuchItemException(itemID);
        }

        return TopN.selectTopN(new MostSimilarItemIterator(Y.entrySet().iterator(), generation.getUserTagIDs(),
                new long[] { itemID }, new float[][] { itemFeatures }, rescorer), howMany);
    } finally {
        yLock.unlock();
    }

}

From source file:net.myrrix.online.ServerRecommender.java

/**
 * Computes items most similar to an item or items. The returned items have the highest average similarity
 * to the given items.// ww  w  .ja va2  s. com
 *
 * @param itemIDs items for which most similar items are required
 * @param howMany maximum number of similar items to return; fewer may be returned
 * @param rescorer rescoring function used to modify item-item similarities before ranking results
 * @return {@link RecommendedItem}s representing the top recommendations for the user, ordered by quality,
 *  descending. The score associated to it is an opaque value. Larger means more similar, but no further
 *  interpretation may necessarily be applied.
 * @throws NoSuchItemException if any of the items is not known in the model
 * @throws NotReadyException if the recommender has no model available yet
 */
@Override
public List<RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany, Rescorer<LongPair> rescorer)
        throws NoSuchItemException, NotReadyException {

    Preconditions.checkArgument(howMany > 0, "howMany must be positive");

    Generation generation = getCurrentGeneration();
    FastByIDMap<float[]> Y = generation.getY();

    Lock yLock = generation.getYLock().readLock();
    yLock.lock();
    try {

        List<float[]> itemFeatures = Lists.newArrayListWithCapacity(itemIDs.length);
        for (long itemID : itemIDs) {
            float[] features = Y.get(itemID);
            if (features != null) {
                itemFeatures.add(features);
            }
        }
        if (itemFeatures.isEmpty()) {
            throw new NoSuchItemException(Arrays.toString(itemIDs));
        }
        float[][] itemFeaturesArray = itemFeatures.toArray(new float[itemFeatures.size()][]);

        return TopN.selectTopN(new MostSimilarItemIterator(Y.entrySet().iterator(), generation.getUserTagIDs(),
                itemIDs, itemFeaturesArray, rescorer), howMany);
    } finally {
        yLock.unlock();
    }
}

From source file:net.myrrix.online.ServerRecommender.java

@Override
public float[] estimatePreferences(long userID, long... itemIDs) throws NotReadyException {

    Generation generation = getCurrentGeneration();
    FastByIDMap<float[]> X = generation.getX();

    float[] userFeatures;
    Lock xLock = generation.getXLock().readLock();
    xLock.lock();
    try {//from   w w  w. j  a v a  2  s  .c om
        userFeatures = X.get(userID);
    } finally {
        xLock.unlock();
    }
    if (userFeatures == null) {
        return new float[itemIDs.length]; // All 0.0f
    }

    FastByIDMap<float[]> Y = generation.getY();

    Lock yLock = generation.getYLock().readLock();
    yLock.lock();
    try {
        float[] result = new float[itemIDs.length];
        for (int i = 0; i < itemIDs.length; i++) {
            long itemID = itemIDs[i];
            float[] itemFeatures = Y.get(itemID);
            if (itemFeatures != null) {
                float value = (float) SimpleVectorMath.dot(itemFeatures, userFeatures);
                Preconditions.checkState(LangUtils.isFinite(value), "Bad estimate");
                result[i] = value;
            } // else leave value at 0.0f
        }
        return result;
    } finally {
        yLock.unlock();
    }
}

From source file:net.myrrix.online.ServerRecommender.java

@Override
public float[] similarityToItem(long toItemID, long... itemIDs) throws TasteException {

    Generation generation = getCurrentGeneration();
    FastByIDMap<float[]> Y = generation.getY();

    float[] similarities = new float[itemIDs.length];
    Lock yLock = generation.getYLock().readLock();
    yLock.lock();
    try {/*from  w w  w  .java 2  s.  co m*/

        float[] toFeatures = Y.get(toItemID);
        if (toFeatures == null) {
            throw new NoSuchItemException(toItemID);
        }
        double toFeaturesNorm = SimpleVectorMath.norm(toFeatures);

        boolean anyFound = false;
        for (int i = 0; i < similarities.length; i++) {
            float[] features = Y.get(itemIDs[i]);
            if (features == null) {
                similarities[i] = Float.NaN;
            } else {
                anyFound = true;
                double featuresNorm = SimpleVectorMath.norm(features);
                similarities[i] = (float) (SimpleVectorMath.dot(features, toFeatures)
                        / (featuresNorm * toFeaturesNorm));
            }
        }
        if (!anyFound) {
            throw new NoSuchItemException(Arrays.toString(itemIDs));
        }

    } finally {
        yLock.unlock();
    }

    return similarities;
}

From source file:net.myrrix.online.ServerRecommender.java

public void setUserTag(long userID, String tag, float value, boolean bulk) {
    Preconditions.checkNotNull(tag);//from www . ja va  2s .co  m
    Preconditions.checkArgument(!tag.isEmpty());
    // Record datum
    try {
        generationManager.appendUserTag(userID, tag, value, bulk);
    } catch (IOException ioe) {
        log.warn("Could not append datum; continuing", ioe);
    }

    Generation generation;
    try {
        generation = getCurrentGeneration();
    } catch (NotReadyException nre) {
        // Corner case -- no model ready so all we can do is record (above). Don't fail the request.
        return;
    }

    long tagID = tagHasher.toLongID(tag);

    FastIDSet userTagIDs = generation.getUserTagIDs();
    Lock userTagWriteLock = generation.getYLock().writeLock();
    userTagWriteLock.lock();
    try {
        userTagIDs.add(tagID);
    } finally {
        userTagWriteLock.unlock();
    }

    float[] userFeatures = getFeatures(userID, generation.getX(), generation.getXLock());
    float[] tagFeatures = getFeatures(tagID, generation.getY(), generation.getYLock());
    updateFeatures(userFeatures, tagFeatures, value, generation);

    updateClusters(userID, userFeatures, generation.getUserClusters(),
            generation.getUserClustersLock().readLock());
}

From source file:net.myrrix.online.ServerRecommender.java

public void setItemTag(String tag, long itemID, float value, boolean bulk) {
    Preconditions.checkNotNull(tag);//from   www .j a v a  2 s  .c  o m
    Preconditions.checkArgument(!tag.isEmpty());
    // Record datum
    try {
        generationManager.appendItemTag(tag, itemID, value, bulk);
    } catch (IOException ioe) {
        log.warn("Could not append datum; continuing", ioe);
    }

    Generation generation;
    try {
        generation = getCurrentGeneration();
    } catch (NotReadyException nre) {
        // Corner case -- no model ready so all we can do is record (above). Don't fail the request.
        return;
    }

    long tagID = tagHasher.toLongID(tag);

    FastIDSet itemTagIDs = generation.getItemTagIDs();
    Lock itemTagWriteLock = generation.getXLock().writeLock();
    itemTagWriteLock.lock();
    try {
        itemTagIDs.add(tagID);
    } finally {
        itemTagWriteLock.unlock();
    }

    float[] tagFeatures = getFeatures(tagID, generation.getX(), generation.getXLock());
    float[] itemFeatures = getFeatures(itemID, generation.getY(), generation.getYLock());
    updateFeatures(tagFeatures, itemFeatures, value, generation);

    updateClusters(itemID, itemFeatures, generation.getItemClusters(),
            generation.getItemClustersLock().readLock());
}

From source file:net.myrrix.online.ServerRecommender.java

@Override
public float estimateForAnonymous(long toItemID, long[] itemIDs, float[] values)
        throws NotReadyException, NoSuchItemException {

    Generation generation = getCurrentGeneration();
    FastByIDMap<float[]> Y = generation.getY();
    Lock yLock = generation.getYLock().readLock();
    float[] toItemFeatures;
    yLock.lock();
    try {/*www.  ja  v  a  2s .com*/
        toItemFeatures = Y.get(toItemID);
    } finally {
        yLock.unlock();
    }

    if (toItemFeatures == null) {
        throw new NoSuchItemException(toItemID);
    }

    float[] anonymousUserFeatures = buildAnonymousUserFeatures(itemIDs, values);

    return (float) SimpleVectorMath.dot(anonymousUserFeatures, toItemFeatures);
}