Example usage for java.util ArrayList stream

Introduction

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

Prototype

default Stream<E> stream() 

Source Link

Document

Returns a sequential Stream with this collection as its source.

Usage

From source file:Vista.CuentasCobrar.java

private void insertarCB(JComboBox seleccion, ArrayList<String> lista) {
    lista.stream().forEach((s) -> {
        if (s.contains(";")) {
            String[] temp = s.split(";");
            seleccion.addItem(temp[temp.length - 1]);
        } else {// w ww. j  av  a2s .co  m
            seleccion.addItem(s);
        }
    });
}

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From source file:it.tizianofagni.sparkboost.DataUtils.java

/**
 * Load data file in LibSVm format. The documents IDs are assigned arbitrarily by Spark.
 *
 * @param sc               The spark context.
 * @param dataFile         The data file.
 * @param minNumPartitions The minimum number of partitions to split data in "dataFile".
 * @return An RDD containing the read points.
 *//*from w  w w .ja  v  a2s.  c  om*/
public static JavaRDD<MultilabelPoint> loadLibSvmFileFormatData(JavaSparkContext sc, String dataFile,
        boolean labels0Based, boolean binaryProblem, int minNumPartitions) {
    if (sc == null)
        throw new NullPointerException("The Spark Context is 'null'");
    if (dataFile == null || dataFile.isEmpty())
        throw new IllegalArgumentException("The dataFile is 'null'");
    JavaRDD<String> lines = sc.textFile(dataFile, minNumPartitions).cache();
    int localNumFeatures = computeNumFeatures(lines);
    Broadcast<Integer> distNumFeatures = sc.broadcast(localNumFeatures);
    JavaRDD<MultilabelPoint> docs = lines.filter(line -> !line.isEmpty()).zipWithIndex().map(item -> {
        int numFeatures = distNumFeatures.getValue();
        String line = item._1();
        long indexLong = item._2();
        int index = (int) indexLong;
        String[] fields = line.split("\\s+");
        String[] t = fields[0].split(",");
        int[] labels = new int[0];
        if (!binaryProblem) {
            labels = new int[t.length];
            for (int i = 0; i < t.length; i++) {
                String label = t[i];
                // Labels should be already 0-based.
                if (labels0Based)
                    labels[i] = new Double(Double.parseDouble(label)).intValue();
                else
                    labels[i] = new Double(Double.parseDouble(label)).intValue() - 1;
                if (labels[i] < 0)
                    throw new IllegalArgumentException(
                            "In current configuration I obtain a negative label ID value. Please check if this is a problem binary or multiclass "
                                    + "and if the labels IDs are in form 0-based or 1-based");
                assert (labels[i] >= 0);
            }
        } else {
            if (t.length > 1)
                throw new IllegalArgumentException(
                        "In binary problem you can only specify one label ID (+1 or -1) per document as valid label IDs");
            int label = new Double(Double.parseDouble(t[0])).intValue();
            if (label > 0) {
                labels = new int[] { 0 };
            }
        }
        ArrayList<Integer> indexes = new ArrayList<Integer>();
        ArrayList<Double> values = new ArrayList<Double>();
        for (int j = 1; j < fields.length; j++) {
            String data = fields[j];
            if (data.startsWith("#"))
                // Beginning of a comment. Skip it.
                break;
            String[] featInfo = data.split(":");
            // Transform feature ID value in 0-based.
            int featID = Integer.parseInt(featInfo[0]) - 1;
            double value = Double.parseDouble(featInfo[1]);
            indexes.add(featID);
            values.add(value);
        }

        SparseVector v = (SparseVector) Vectors.sparse(numFeatures, indexes.stream().mapToInt(i -> i).toArray(),
                values.stream().mapToDouble(i -> i).toArray());
        return new MultilabelPoint(index, v, labels);
    });

    lines.unpersist();
    return docs;
}

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From source file:it.tizianofagni.sparkboost.DataUtils.java

/**
 * Load data file in LibSVm format. The documents IDs are specified at beginning of each
 * line containing document data./* w  w  w. j  a v a 2s. c o  m*/
 *
 * @param sc               The spark context.
 * @param dataFile         The data file.
 * @param minNumPartitions The minimum number of partitions to split data in "dataFile".
 * @return An RDD containing the read points.
 */
public static JavaRDD<MultilabelPoint> loadLibSvmFileFormatDataWithIDs(JavaSparkContext sc, String dataFile,
        boolean labels0Based, boolean binaryProblem, int minNumPartitions) {
    if (sc == null)
        throw new NullPointerException("The Spark Context is 'null'");
    if (dataFile == null || dataFile.isEmpty())
        throw new IllegalArgumentException("The dataFile is 'null'");
    JavaRDD<String> lines = sc.textFile(dataFile, minNumPartitions).cache();
    int localNumFeatures = computeNumFeatures(lines);
    Broadcast<Integer> distNumFeatures = sc.broadcast(localNumFeatures);
    JavaRDD<MultilabelPoint> docs = lines.filter(line -> !line.isEmpty()).map(entireRow -> {
        int numFeatures = distNumFeatures.getValue();
        String[] fields = entireRow.split("\t");
        String line = fields[1];
        int docID = Integer.parseInt(fields[0]);
        fields = line.split("\\s+");
        String[] t = fields[0].split(",");
        int[] labels = new int[0];
        if (!binaryProblem) {
            labels = new int[t.length];
            for (int i = 0; i < t.length; i++) {
                String label = t[i];
                // Labels should be already 0-based.
                if (labels0Based)
                    labels[i] = new Double(Double.parseDouble(label)).intValue();
                else
                    labels[i] = new Double(Double.parseDouble(label)).intValue() - 1;
                if (labels[i] < 0)
                    throw new IllegalArgumentException(
                            "In current configuration I obtain a negative label ID value. Please check if this is a problem binary or multiclass "
                                    + "and if the labels IDs are in form 0-based or 1-based");
                assert (labels[i] >= 0);
            }
        } else {
            if (t.length > 1)
                throw new IllegalArgumentException(
                        "In binary problem you can only specify one label ID (+1 or -1) per document as valid label IDs");
            int label = new Double(Double.parseDouble(t[0])).intValue();
            if (label > 0) {
                labels = new int[] { 0 };
            }
        }
        ArrayList<Integer> indexes = new ArrayList<Integer>();
        ArrayList<Double> values = new ArrayList<Double>();
        for (int j = 1; j < fields.length; j++) {
            String data = fields[j];
            if (data.startsWith("#"))
                // Beginning of a comment. Skip it.
                break;
            String[] featInfo = data.split(":");
            // Transform feature ID value in 0-based.
            int featID = Integer.parseInt(featInfo[0]) - 1;
            double value = Double.parseDouble(featInfo[1]);
            indexes.add(featID);
            values.add(value);
        }

        SparseVector v = (SparseVector) Vectors.sparse(numFeatures, indexes.stream().mapToInt(i -> i).toArray(),
                values.stream().mapToDouble(i -> i).toArray());
        return new MultilabelPoint(docID, v, labels);
    });

    lines.unpersist();
    return docs;
}

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From source file:com.globocom.grou.report.ts.opentsdb.OpenTSDBClient.java

@SuppressWarnings("unchecked")
@Override//w w  w  . j  a v  a2  s  .  c o  m
public Map<String, Double> makeReport(Test test) {
    final TreeMap<String, Double> mapOfResult = new TreeMap<>();
    ArrayList<HashMap<String, Object>> metrics = Optional.ofNullable(metrics(test)).orElse(new ArrayList<>());
    metrics.stream().filter(metric -> Objects.nonNull(metric.get("metric"))).forEach(metric -> {
        String key = (String) metric.get("metric");
        String aggr = (String) metric.get("aggr");
        int durationTimeMillis = test.getDurationTimeMillis();
        Map<String, Double> dps = Optional.ofNullable((Map<String, Double>) metric.get("dps"))
                .orElse(Collections.emptyMap());
        final AtomicDouble reduceSum = new AtomicDouble(0.0);
        final AtomicDouble reduceMax = new AtomicDouble(0.0);
        dps.entrySet().stream().mapToDouble(Map.Entry::getValue).forEach(delta -> {
            reduceSum.addAndGet(delta);
            if (reduceMax.get() < delta)
                reduceMax.set(delta);
        });
        double value = reduceSum.get();
        double max = reduceMax.get();
        if (!Double.isNaN(value)) {
            if ("sum".equals(aggr)) {
                int durationTimeSecs = durationTimeMillis / 1000;
                double avg = value / (double) durationTimeSecs;
                mapOfResult.put(key + " (total)", formatValue(value));
                mapOfResult.put(key + " (avg tps)", formatValue(avg));
                mapOfResult.put(key + " (max tps)",
                        formatValue(max / Math.max(1.0, (double) durationTimeSecs / (double) NUM_SAMPLES)));
            } else {
                value = value / (double) dps.size();
                mapOfResult.put(key, formatValue(value));
            }
        }
    });
    if (mapOfResult.isEmpty())
        LOGGER.error("Test {}.{}: makeReport return NULL", test.getProject(), test.getName());
    return mapOfResult;
}

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From source file:org.apache.sysml.hops.rewrite.HopRewriteUtils.java

public static boolean containsSecondOrderBuiltin(ArrayList<Hop> roots) {
    Hop.resetVisitStatus(roots);//from w  ww . j  ava 2  s .  c  o  m
    return roots.stream().anyMatch(r -> containsSecondOrderBuiltin(r));
}

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From source file:io.paradoxical.cassieq.ServiceConfigurator.java

public void configure() {
    ArrayList<BiConsumer<ServiceConfiguration, Environment>> run = new ArrayList<>();

    run.add(this::configureJson);

    run.add(this::configureFilters);

    run.add(this::configureSwaggerApi);

    run.add(this::configureLogging);

    run.add(this::configureAdmin);

    run.stream().forEach(configFunction -> configFunction.accept(config, env));
}

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From source file:org.moe.gradle.tasks.Retrolambda.java

@Override
protected void run() {
    // Clean expanded classes dir
    try {//from  w  ww  .j a  v a 2 s  . c om
        FileUtils.deleteFileOrFolder(getExpandedClassesDir());
    } catch (IOException e) {
        throw new GradleException("Failed to delete directory " + getExpandedClassesDir().getAbsolutePath(), e);
    }

    // Clean output dir
    try {
        FileUtils.deleteFileOrFolder(getOutputDir());
    } catch (IOException e) {
        throw new GradleException("Failed to delete directory " + getOutputDir().getAbsolutePath(), e);
    }

    // Copy class files from jar
    getProject().copy(spec -> {
        getInputFiles().forEach(it -> spec.from(it.isDirectory() ? it : getProject().zipTree(it)));
        spec.include("**/*.class");
        spec.into(getExpandedClassesDir());
    });

    // Run Retrolambda
    javaexec(spec -> {
        spec.systemProperty("retrolambda.inputDir", getExpandedClassesDir().getAbsolutePath());
        spec.systemProperty("retrolambda.classpath", StringUtils.compose(() -> {
            final ArrayList<File> files = new ArrayList<>(getClasspathFiles().getFiles());
            files.add(0, getExpandedClassesDir()); // Add input dir to classpath
            final List<String> paths = files.stream().map(File::getAbsolutePath).collect(Collectors.toList());
            return org.apache.commons.lang3.StringUtils.join(paths, File.pathSeparator);
        }));
        spec.systemProperty("retrolambda.defaultMethods", getDefaultMethods());
        spec.systemProperty("retrolambda.natjSupport", getNatjSupport());
        spec.systemProperty("retrolambda.outputDir", getOutputDir().getAbsolutePath());
        spec.setMain("-jar");
        spec.args(getRetrolambdaJar().getAbsolutePath());
    });
}

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From source file:qa.experiment.SRLToAligner.java

private ProcessFrame constructProcessFrame(ProcessFrame frame,
        HashMap<String, ArrayList<RoleSpan>> roleRoleSpanPair) {
    final Comparator<RoleSpan> comp = (r1, r2) -> Double.compare(r1.getRoleScore(), r2.getRoleScore());
    ProcessFrame res = new ProcessFrame();
    res.setProcessName(frame.getProcessName());
    res.setTokenizedText(frame.getTokenizedText());
    res.setRawText(frame.getRawText());/*from  www  .j  a  v a 2  s .c  o  m*/

    for (String argLabel : GlobalV.labels) {
        if (roleRoleSpanPair.get(argLabel) != null) {
            ArrayList<RoleSpan> spans = roleRoleSpanPair.get(argLabel);
            RoleSpan maxSpan = spans.stream().max(comp).get();
            if (argLabel.equalsIgnoreCase("A0")) {
                res.setUnderGoer(maxSpan.getTextSpan());
                res.setScores(0, maxSpan.getScores());
            }
            if (argLabel.equalsIgnoreCase("A1")) {
                res.setEnabler(maxSpan.getTextSpan());
                res.setScores(1, maxSpan.getScores());
            }
            if (argLabel.equalsIgnoreCase("T")) {
                res.setTrigger(maxSpan.getTextSpan());
                res.setScores(2, maxSpan.getScores());
            }
            if (argLabel.equalsIgnoreCase("A2")) {
                res.setResult(maxSpan.getTextSpan());
                res.setScores(3, maxSpan.getScores());
            }
        }
    }
    return res;
}

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From source file:org.apache.metron.indexing.dao.UpdateIntegrationTest.java

@Test
public void testAddCommentAndPatch() throws Exception {
    Map<String, Object> fields = new HashMap<>();
    fields.put("guid", "add_comment");
    fields.put("source.type", SENSOR_NAME);

    Document document = new Document(fields, "add_comment", SENSOR_NAME, 1526306463050L);
    getDao().update(document, Optional.of(SENSOR_NAME));
    findUpdatedDoc(document.getDocument(), "add_comment", SENSOR_NAME);

    addAlertComment("add_comment", "New Comment", "test_user", 1526306463050L);
    // Ensure we have the first comment
    ArrayList<AlertComment> comments = new ArrayList<>();
    comments.add(new AlertComment("New Comment", "test_user", 1526306463050L));
    document.getDocument().put(COMMENTS_FIELD,
            comments.stream().map(AlertComment::asMap).collect(Collectors.toList()));
    findUpdatedDoc(document.getDocument(), "add_comment", SENSOR_NAME);

    List<Map<String, Object>> patchList = new ArrayList<>();
    Map<String, Object> patch = new HashMap<>();
    patch.put("op", "add");
    patch.put("path", "/project");
    patch.put("value", "metron");
    patchList.add(patch);/*from  w w  w.j  av a  2 s  .c om*/

    PatchRequest pr = new PatchRequest();
    pr.setGuid("add_comment");
    pr.setIndex(SENSOR_NAME);
    pr.setSensorType(SENSOR_NAME);
    pr.setPatch(patchList);
    getDao().patch(getDao(), pr, Optional.of(new Date().getTime()));

    document.getDocument().put("project", "metron");
    findUpdatedDoc(document.getDocument(), "add_comment", SENSOR_NAME);
}

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From source file:org.apache.metron.indexing.dao.UpdateIntegrationTest.java

@Test
@SuppressWarnings("unchecked")
public void testRemoveComments() throws Exception {
    Map<String, Object> fields = new HashMap<>();
    fields.put("guid", "add_comment");
    fields.put("source.type", SENSOR_NAME);

    Document document = new Document(fields, "add_comment", SENSOR_NAME, 1526401584951L);
    getDao().update(document, Optional.of(SENSOR_NAME));
    findUpdatedDoc(document.getDocument(), "add_comment", SENSOR_NAME);

    addAlertComment("add_comment", "New Comment", "test_user", 1526401584951L);
    // Ensure we have the first comment
    ArrayList<AlertComment> comments = new ArrayList<>();
    comments.add(new AlertComment("New Comment", "test_user", 1526401584951L));
    document.getDocument().put(COMMENTS_FIELD,
            comments.stream().map(AlertComment::asMap).collect(Collectors.toList()));
    findUpdatedDoc(document.getDocument(), "add_comment", SENSOR_NAME);

    addAlertComment("add_comment", "New Comment 2", "test_user_2", 1526401584952L);
    // Ensure we have the second comment
    comments.add(new AlertComment("New Comment 2", "test_user_2", 1526401584952L));
    document.getDocument().put(COMMENTS_FIELD,
            comments.stream().map(AlertComment::asMap).collect(Collectors.toList()));
    findUpdatedDoc(document.getDocument(), "add_comment", SENSOR_NAME);

    removeAlertComment("add_comment", "New Comment 2", "test_user_2", 1526401584952L);
    // Ensure we only have the first comments
    comments = new ArrayList<>();
    comments.add(new AlertComment(commentOne));
    document.getDocument().put(COMMENTS_FIELD,
            comments.stream().map(AlertComment::asMap).collect(Collectors.toList()));
    findUpdatedDoc(document.getDocument(), "add_comment", SENSOR_NAME);

    removeAlertComment("add_comment", "New Comment", "test_user", 1526401584951L);
    // Ensure we have no comments
    document.getDocument().remove(COMMENTS_FIELD);
    findUpdatedDoc(document.getDocument(), "add_comment", SENSOR_NAME);
}

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