Examples with XoRoShiRo128PlusRandom jcog.math.random.XoRoShiRo128PlusRandom used on opensource projects

Example 1 with XoRoShiRo128PlusRandom

use of jcog.math.random.XoRoShiRo128PlusRandom in project narchy by automenta.

the class AnonTest method testMixedAnonVector.

@Test
public void testMixedAnonVector() {
    Term[] x = { $.varDep(1), $.varIndep(2), $.varQuery(3), Anom.the(4) };
    Random rng = new XoRoShiRo128PlusRandom(1);
    for (int i = 0; i < 4; i++) {
        ArrayUtils.shuffle(x, rng);
        assertEqual(new UnitSubterm(x[0]), new AnonVector(x[0]));
        assertEqual(new TermVector2(x[0], x[1]), new AnonVector(x[0], x[1]));
        assertEqual(new ArrayTermVector(x), new AnonVector(x));
    }
}

Example 2 with XoRoShiRo128PlusRandom

use of jcog.math.random.XoRoShiRo128PlusRandom in project narchy by automenta.

the class NARchy method ui.

public static NAR ui() {
    // u.forEach(System.out::println);
    // u.put("boot", new Date().toString());
    // Util.pause(100);
    // u.get("boot", (b)->{
    // System.out.println(b);
    // });
    NAR nar = new DefaultNAR(8, true).exe(new PoolMultiExec(/*WorkerMultiExec*/
    new Focus.AERevaluator(new XoRoShiRo128PlusRandom(1)), 512)).time(new RealTime.CS().durFPS(10f)).get();
    ConjClustering conjClusterB = new ConjClustering(nar, BELIEF, (Task::isInput), 16, 64);
    // ConjClustering conjClusterG = new ConjClustering(nar, GOAL, true, false, 16, 64);
    // auxiliary modules, load in background thread
    nar.runLater(() -> {
        User u = User.the();
        new NARAudio(nar);
        new NARVideo(nar);
        NARHear.readURL(nar);
        {
            NARSpeak s = new NARSpeak(nar);
            s.spoken.on(new NativeSpeechDispatcher()::speak);
        // new NativeSpeechDispatcher(s);
        }
    // //new NoteFS("/tmp/nal", nar);
    // InterNAR i = new InterNAR(nar, 8, 0);
    // i.recv.preAmp(0.1f);
    // i.runFPS(2);
    });
    return nar;
}

Example 3 with XoRoShiRo128PlusRandom

use of jcog.math.random.XoRoShiRo128PlusRandom in project narchy by automenta.

the class TensorRL1 method noiseChip.

static void noiseChip(PhyWall p) {
    {
        final Random rng = new XoRoShiRo128PlusRandom(1);
        final TensorFunc randomVector = Tensor.randomVectorGauss(16, 0, 1, rng);
        final FloatRange lerpRate = new FloatRange(0.01f, 0, 1f);
        final TensorLERP lerpVector = new TensorLERP(randomVector, lerpRate);
        p.put(new Gridding(0.25f, // ),
        new LabeledPane("rng", new AutoUpdateMatrixView(lerpVector.data)), new LabeledPane("lerp", new XYSlider().on((x, y) -> {
            lerpRate.set(x);
        })), new LabeledPane("out", new Port() {

            @Override
            public void prePaint(int dtMS) {
                super.prePaint(dtMS);
                lerpVector.update();
                out(lerpVector.data);
            }
        })), 0.5f, 0.5f);
    }
}

Example 4 with XoRoShiRo128PlusRandom

use of jcog.math.random.XoRoShiRo128PlusRandom in project narchy by automenta.

the class BagTest method samplingPriDist.

public static Tensor samplingPriDist(@NotNull Bag<PLink<String>, PLink<String>> b, int batches, int batchSize, int bins) {
    assert (bins > 1);
    Set<String> hit = new TreeSet();
    Frequency hits = new Frequency();
    ArrayTensor f = new ArrayTensor(bins);
    assertFalse(b.isEmpty());
    Random rng = new XoRoShiRo128PlusRandom(1);
    for (int i = 0; i < batches; i++) {
        b.sample(rng, batchSize, x -> {
            f.data[Util.bin(b.pri(x), bins)]++;
            String s = x.get();
            hits.addValue(s);
            hit.add(s);
        });
    }
    int total = batches * batchSize;
    assertEquals(total, Util.sum(f.data), 0.001f);
    if (hits.getUniqueCount() != b.size()) {
        System.out.println(hits.getUniqueCount() + " != " + b.size());
        Set<String> items = b.stream().map(PLink::get).collect(Collectors.toSet());
        items.removeAll(hit);
        System.out.println("not hit: " + items);
        System.out.println(hits);
        fail("all elements must have been sampled at least once");
    }
    return f.scale(1f / total);
}

Example 5 with XoRoShiRo128PlusRandom

use of jcog.math.random.XoRoShiRo128PlusRandom in project narchy by automenta.

the class BagTest method fillRandom.

public static void fillRandom(CurveBag<PLink<String>> bag) {
    assertTrue(bag.isEmpty());
    int c = bag.capacity();
    Random rng = new XoRoShiRo128PlusRandom(1);
    // insert biggest items first
    for (int i = c - 1; i >= 0; i--) {
        PLink inserted = bag.put(new PLink(i + "x", rng.nextFloat()));
        if (inserted == null) {
            fail("");
        }
    }
    bag.commit(null);
    assertEquals(c, bag.size());
    assertSorted(bag);
}