Example usage for org.apache.commons.math3.random RandomDataGenerator RandomDataGenerator

Introduction

In this page you can find the example usage for org.apache.commons.math3.random RandomDataGenerator RandomDataGenerator.

Prototype

public RandomDataGenerator() 

Source Link

Document

Construct a RandomDataGenerator, using a default random generator as the source of randomness.

Usage

From source file:RandomGenTest.java

public static void main(String[] args) {
    RandomDataGenerator rand = new RandomDataGenerator();

    Map<Object, Integer> map = new HashMap();
    for (int i = 0; i < 101; i++)
        map.put(i, 0);/*from   ww w . ja v a  2 s.  c  o m*/

    Map<Object, Integer> user = new HashMap();
    for (int i = 0; i < 100; i++) {
        int age = rand.nextInt(0, 100);
        /*int age = (int) rand.nextGaussian(50, 10D);
        if ((age > 100) || (age < 0)) {
           age = rand.nextInt(0, 100);
        }*/
        user.put(i, age);
    }

    for (int i = 0; i < 100000; i++) {
        //int age = rand.nextInt(0, 100);
        /*int age = (int) rand.nextGaussian(50, 10D);
        if ((age > 100) || (age < 0)) {
           age = rand.nextInt(0, 100);
        }*/

        //Seq
        //map.put(user.get(i%100), map.get(user.get(i%100))+1);

        //Rand
        int j = rand.nextInt(0, 99);
        map.put(user.get(j), map.get(user.get(j)) + 1);
    }

    display(map);
}

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From source file:ke.co.tawi.babblesms.server.utils.randomgenerate.RandomListGenerator.java

/**
 * @param args//w  w w .  j a va2s .c om
 */
public static void main(String[] args) {
    System.out.println("Have started list generator.");
    File outFile = new File("/tmp/randomList.txt");

    RandomDataGenerator generator = new RandomDataGenerator();

    int listSize = 503; // The size of the array / list to be generated

    // The Strings to be randomized
    String[] strings = { "0DE968C9-7309-C481-58F7-AB6CDB1011EF", "5C1D9939-136A-55DE-FD0E-61D8204E17C9",
            "B936DA83-8A45-E9F0-2EAE-D75F5C232E78" };

    try {

        for (int j = 0; j < listSize; j++) {
            FileUtils.write(outFile, strings[generator.nextInt(0, strings.length - 1)] + "\n", true); // Append to file                              
        }

    } catch (IOException e) {
        System.err.println("IOException in main.");
        e.printStackTrace();
    }

    System.out.println("Have finished list generator.");
}

---

From source file:ke.co.tawi.babblesms.server.utils.randomgenerate.IncomingLogGenerator.java

/**
 * @param args/*from  w ww.  jav  a  2s . c  om*/
 */
public static void main(String[] args) {
    System.out.println("Have started IncomingSMSGenerator.");
    File outFile = new File("/tmp/logs/incomingSMS.csv");
    RandomDataGenerator randomDataImpl = new RandomDataGenerator();

    String randomStrFile = "/tmp/random.txt";

    List<String> randomStrings = new ArrayList<>();
    int randStrLength = 0;

    long startDate = 1412380800; // Unix time in seconds for Oct 4 2014
    long stopDate = 1420070340; // Unix time for in seconds Dec 31 2014

    SimpleDateFormat dateFormatter = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"); // 2011-06-01 00:16:45" 

    List<String> shortcodeUuids = new ArrayList<>();
    shortcodeUuids.add("094def52-bc18-4a9e-9b84-c34cc6476c75");
    shortcodeUuids.add("e9570c5d-0cc4-41e5-81df-b0674e9dda1e");
    shortcodeUuids.add("a118c8ea-f831-4288-986d-35e22c91fc4d");
    shortcodeUuids.add("a2688d72-291b-470c-8926-31a903f5ed0c");
    shortcodeUuids.add("9bef62f6-e682-4efd-98e9-ca41fa4ef993");

    int shortcodeCount = shortcodeUuids.size() - 1;

    try {
        randomStrings = FileUtils.readLines(new File(randomStrFile));
        randStrLength = randomStrings.size();

        for (int j = 0; j < 30000; j++) {
            FileUtils.write(outFile,
                    // shortcodeUuids.get(randomDataImpl.nextInt(0, shortcodeCount)) + "|"   // Destination 
                    UUID.randomUUID().toString() + "|" // Unique Code
                            + randomDataImpl.nextLong(new Long("254700000000").longValue(),
                                    new Long("254734999999").longValue())
                            + "|" // Origin
                            + shortcodeUuids.get(randomDataImpl.nextInt(0, shortcodeCount)) + "|"
                            + randomStrings.get(randomDataImpl.nextInt(0, randStrLength - 1)) + "|" // Message
                            + "N|" // deleted
                            + dateFormatter.format(
                                    new Date(randomDataImpl.nextLong(startDate, stopDate) * 1000))
                            + "\n", // smsTime                  
                    true); // Append to file                              
        }

    } catch (IOException e) {
        System.err.println("IOException in main.");
        e.printStackTrace();
    }

    System.out.println("Have finished IncomingSMSGenerator.");
}

---

From source file:main.java.entry.Main.java

public static void main(String[] args) throws IOException {
    Global.rand = new Random();
    Global.rdg = new RandomDataGenerator();

    Global.LOGGER.info("Simulating shared-nothing OLTP database cluster.");

    ReadConfig.readArgs(args);/*w w  w  .j  av a 2  s .  c  o m*/

    // Reading simulation aspects
    ReadConfig.readConfigFile("./sim.cnf");

    while (Global.repeatedRuns != 0) {

        Global.LOGGER.info("=============================================================================");
        Global.LOGGER.info("Starting simulation for run " + Global.repeatedRuns + " ...");

        // Re-seed the Random Data Generator
        Global.rand.setSeed(Global.repeatedRuns);
        Global.rdg.reSeed(Global.repeatedRuns);

        // Database initialization and population
        Database db = null;
        Workload wrl = null;

        switch (Global.wrl) {
        case "tpcc":
            db = new TpccDatabase("tpcc");
            wrl = new TpccWorkload("/tpcc.cnf");
            break;

        case "twitter":
            db = new TwitterDatabase("twitter");
            wrl = new TwitterWorkload("/twitter.cnf");
            break;

        default:
            Global.LOGGER.info(Global.run_usage);
            Global.LOGGER.info(Global.abort);
            break;
        }

        // CLuster, Workload Executor, and Metric Collector initialization
        Cluster dbCluster = new Cluster();
        WorkloadExecutor wrlExecutor = new WorkloadExecutor();
        Metric.init(dbCluster);

        // Read TPCC configurations
        wrl.readConfig();

        // Populate initial database                        
        db.populate(wrl);

        // Create a database cluster consisted of a set of physical servers and a consistent hash ring to store the physical data tuples
        WorkloadBatch wb = dbCluster.setup(db, wrl);

        // Workload execution
        wrlExecutor.execute(db, dbCluster, wb, wrl);

        // Close Metric collector
        Metric.close();

        // Proceed for the next iterative simulation run
        Global.LOGGER.info("Simulation ended for iterative run-" + Global.repeatedRuns + ".");
        --Global.repeatedRuns;
    }

    Global.LOGGER.info("Simulation ended.");
}

---

From source file:net.acesinc.data.json.generator.types.TypeHandler.java

public TypeHandler() {
    rand = new RandomDataGenerator();
}

---

From source file:com.siemens.industrialbenchmark.util.RandomNumberExpectedValueTest.java

@Test
public void testExpectedValues() {

    long seed = 0;
    Random rand = new Random(seed);
    RandomDataGenerator randomData = new RandomDataGenerator();

    double uniformAverage = 0.0;
    double binomialAverage = 0.0;
    double normalAverage = 0.0;
    double exponentialAverage = 0.0;

    for (int i = 0; i < 1e6; i++) {

        // set current seed
        randomData.reSeed(seed);//from  w ww .ja v  a 2s .  co  m

        // draw random numbers
        double n = randomData.nextGaussian(0, 1);
        double u = randomData.nextUniform(0, 1);
        double b = randomData.nextBinomial(1, 0.5);
        double e = randomData.nextExponential(0.25);

        // average mean random number
        uniformAverage += (1. / (1. + i)) * (u - uniformAverage);
        binomialAverage += (1. / (1. + i)) * (b - binomialAverage);
        normalAverage += (1. / (1. + i)) * (n - normalAverage);
        exponentialAverage += (1. / (1. + i)) * (e - exponentialAverage);

        // draw new seed from global random generator
        seed = rand.nextLong();
    }

    assertEquals(0.5, uniformAverage, 0.001);
    assertEquals(0.5, binomialAverage, 0.001);
    assertEquals(0.0, normalAverage, 0.001);
    assertEquals(0.25, exponentialAverage, 0.001);
}

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From source file:net.modelbased.proasense.storage.writer.RandomEventGenerator.java

public RandomEventGenerator() {
    this.randomData = new RandomDataGenerator();
    this.randomNumber = new MersenneTwister();
}

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From source file:com.arpnetworking.metrics.generator.metric.GaussianCountMetricGenerator.java

/**
 * Public constructor.//w  w  w .  j  a va  2  s .  com
 *
 * @param mu Mean of the distribution.
 * @param sigma Standard deviation of the distribution.
 * @param wrapped The wrapped generator.
 */
public GaussianCountMetricGenerator(final double mu, final double sigma, final MetricGenerator wrapped) {
    _mu = mu;
    _sigma = sigma;
    _wrapped = wrapped;
    _generator = new RandomDataGenerator();
}

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From source file:com.arpnetworking.metrics.generator.metric.UniformMetricGenerator.java

/**
 * Public constructor.//from  www.  j  av a 2  s  . c  o m
 *
 * @param min The minimum of the distribution.
 * @param max The maximum of the distribution.
 * @param nameGenerator The name generator to name the metric created.
 */
public UniformMetricGenerator(final double min, final double max, final NameGenerator nameGenerator) {
    _min = min;
    _max = max;
    _nameGenerator = nameGenerator;
    _generator = new RandomDataGenerator();
}

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From source file:com.arpnetworking.metrics.generator.metric.GaussianMetricGenerator.java

/**
 * Public constructor.//w  w  w  .java 2  s . co m
 *
 * @param mu The mean of the distribution.
 * @param sigma The standard deviation of the distribution.
 * @param nameGenerator The name generator to name the metric created.
 */
public GaussianMetricGenerator(final double mu, final double sigma, final NameGenerator nameGenerator) {
    _mu = mu;
    _sigma = sigma;
    _nameGenerator = nameGenerator;
    _generator = new RandomDataGenerator();
}

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