Example usage for java.util Set stream

Introduction

In this page you can find the example usage for java.util Set stream.

Prototype

default Stream<E> stream()

Source Link

Document

Returns a sequential Stream with this collection as its source.

Usage

From source file:com.netflix.genie.core.jpa.specifications.JpaSpecificationUtils.java

/**
 * Get the sorted like statement for tags used in specification queries.
 *
 * @param tags The tags to use. Not null.
 * @return The tags sorted while ignoring case delimited with percent symbol.
 *//*ww  w.  j av  a 2 s . c  om*/
public static String getTagLikeString(@NotNull final Set<String> tags) {
    final StringBuilder builder = new StringBuilder();
    tags.stream().filter(StringUtils::isNotBlank).sorted(String.CASE_INSENSITIVE_ORDER)
            .forEach(tag -> builder.append(PERCENT).append(CommonFieldsEntity.TAG_DELIMITER).append(tag)
                    .append(CommonFieldsEntity.TAG_DELIMITER));
    return builder.append(PERCENT).toString();
}

From source file:com.netflix.genie.web.data.repositories.jpa.specifications.JpaSpecificationUtils.java

/**
 * Get the sorted like statement for tags used in specification queries.
 *
 * @param tags The tags to use. Not null.
 * @return The tags sorted while ignoring case delimited with percent symbol.
 *///from  w w  w.  j  av a2  s. c o m
static String getTagLikeString(@NotNull final Set<String> tags) {
    final StringBuilder builder = new StringBuilder();
    tags.stream().filter(StringUtils::isNotBlank).sorted(String.CASE_INSENSITIVE_ORDER)
            .forEach(tag -> builder.append(PERCENT).append(TAG_DELIMITER).append(tag).append(TAG_DELIMITER));
    return builder.append(PERCENT).toString();
}

From source file:edu.pitt.dbmi.ccd.db.specification.AnnotationTargetSpecification.java

private static List<Predicate> inTitleOrAddressOrName(Root<AnnotationTarget> root, CriteriaBuilder cb,
        Set<String> terms) {
    return terms.stream().map(t -> containsLike(t))
            .map(t -> cb.or(titleContains(root, cb, t),
                    (root.get(ADDRESS) != null) ? addressContains(root, cb, t) : fileNameContains(root, cb, t)))
            .collect(Collectors.toList());
}

From source file:edu.pitt.dbmi.ccd.db.specification.AnnotationTargetSpecification.java

private static List<Predicate> notInTitleOrAddressOrName(Root<AnnotationTarget> root, CriteriaBuilder cb,
        Set<String> terms) {
    return terms
            .stream().map(/*from  ww w.  j  ava 2s .c o m*/
                    t -> containsLike(t))
            .map(t -> cb.not(
                    cb.or(titleContains(root, cb, t), (root.get(ADDRESS) != null) ? addressContains(root, cb, t)
                            : fileNameContains(root, cb, t))))
            .collect(Collectors.toList());
}

From source file:com.github.robozonky.app.version.UpdateMonitor.java

static String findFirstStable(final Set<String> versions) {
    return versions.stream().filter(UpdateMonitor::isStable).findFirst()
            .orElseThrow(() -> new IllegalStateException("No stable version found."));
}

From source file:com.thinkbiganalytics.nifi.rest.model.flow.NiFiFlowConnectionConverter.java

/**
 * Convert a Nifi Connection {@link ConnectionDTO} to a simplified {@link NifiFlowConnection}
 *
 * @param connectionDTO the Nifi connection
 * @return the converted simplified connection
 *///from   www.j av  a  2s .  c o m
public static NifiFlowConnection toNiFiFlowConnection(ConnectionDTO connectionDTO) {
    if (connectionDTO != null) {
        String name = connectionDTO.getName();
        if (StringUtils.isBlank(name)) {
            Set<String> relationships = connectionDTO.getSelectedRelationships();
            if (relationships != null) {
                name = relationships.stream().collect(Collectors.joining(","));
            }
        }
        NifiFlowConnection connection = new NifiFlowConnection(connectionDTO.getId(), name,
                connectionDTO.getSource() != null ? connectionDTO.getSource().getId() : null,
                connectionDTO.getDestination() != null ? connectionDTO.getDestination().getId() : null);
        return connection;
    }
    return null;
}

From source file:com.github.horrorho.inflatabledonkey.cloud.AssetPool.java

static Set<Asset> validate(Set<Asset> assets) {
    return assets.stream().filter(u -> {
        if (u.fileSignature().isPresent()) {
            return true;
        }/*  ww  w  . j  a va2  s .  com*/
        logger.warn("-- validate() - missing file signature: {}", u);
        return false;
    }).collect(toSet());
}

From source file:com.movies.jsf.JsfUtil.java

public static String getReturnUrl(String adress, Map<String, Object> parameterMap) {
    StringBuilder builder = new StringBuilder().append(adress);
    if (MapUtils.isEmpty(parameterMap)) {
        throw new IllegalArgumentException("Parameter map can not be empty!");
    } else {//ww  w. j  a v a2 s . com
        Set<Entry<String, Object>> set = parameterMap.entrySet();
        set.stream().forEach((entry) -> {
            builder.append(QUESTION).append(REDIRECT).append(AND).append(entry.getKey()).append(EQUALS)
                    .append(entry.getValue());
        });
    }
    return builder.toString();
}

From source file:edu.brandeis.wisedb.scheduler.experiments.SkewDistributionExperiment.java

public static void calculateBurn(int samples) throws Exception {
    TightenableSLA sla = PercentSLA.nintyTenSLA();
    //TightenableSLA sla = new SimpleLatencyModelSLA(9 * 60 * 1000, 1);
    //TightenableSLA sla = PerQuerySLA.getLatencyTimesN(2.0);
    //TightenableSLA sla = new AverageLatencyModelSLA(7 * 60 * 1000, 1);
    QueryTimePredictor qtp = new QueryTimePredictor();

    File f = new File("distSkew.csv");
    if (f.exists())
        f.delete();//from  ww  w .j  a  va 2s . c o  m

    try (Trainer t = new Trainer("distSkew.csv", sla)) {
        t.train(2000, 12);
    }

    DTSearcher dt = new DTSearcher("distSkew.csv", qtp, sla);
    AStarGraphSearch astar = new AStarGraphSearch(new UnassignedQueryTimeHeuristic(qtp), sla, qtp);
    //FirstFitDecreasingGraphSearch astar = new FirstFitDecreasingGraphSearch(sla, qtp);

    ChiSquareTest cst = new ChiSquareTest();
    ChiSquaredDistribution cqd = new ChiSquaredDistribution(qtp.QUERY_TYPES.length - 1);
    double[] expceted = Arrays.stream(qtp.QUERY_TYPES).mapToDouble(i -> 20.0 / (qtp.QUERY_TYPES.length))
            .toArray();

    System.out.println("Chi\tDT\tOpt");

    for (int i = 0; i < samples; i++) {
        Set<ModelQuery> smp = ModelWorkloadGenerator.randomQueries(20);

        // reject samples that don't have at least one of each query type
        long repr = smp.stream().mapToInt(q -> q.getType()).distinct().count();
        if (repr != qtp.QUERY_TYPES.length) {
            i--;
            continue;
        }

        Map<Integer, List<ModelQuery>> groups = smp.stream().collect(Collectors.groupingBy(q -> q.getType()));

        long obs[] = Arrays.stream(qtp.QUERY_TYPES).mapToLong(v -> groups.get(v).size()).toArray();

        double chi = cst.chiSquare(expceted, obs);
        chi = cqd.cumulativeProbability(chi);

        Cost dtCost = dt.getCostForQueries(smp, sla);
        Cost optCost = astar.getCostForQueries(smp, sla);

        System.out.println(chi + "\t" + dtCost.getTotalCost() + "\t" + optCost.getTotalCost());
    }

}

From source file:Inmemantlr.java

private static Set<File> getFilesForOption(CommandLine cmd, String opt) {
    Set<File> ret = new HashSet<>();
    if (cmd.hasOption(opt)) {
        Set<String> us = new HashSet<>();
        us.addAll(Arrays.asList(cmd.getOptionValues(opt)));
        ret.addAll(us.stream().map(File::new).collect(Collectors.toSet()));
    }/*from   ww  w . j  ava2 s.co m*/
    return ret;
}