use of jcog.math.FloatRange in project narchy by automenta.
the class TensorGlow method main.
public static void main(String[] args) {
PhyWall p = SpaceGraph.wall(1200, 1000);
p.W.setGravity(new v2(0, -2.8f));
staticBox(p.W, -5, -8, +5, 2f, false, true, true, true);
for (int j = 0; j < 3; j++) {
BodyDef bodyDef2 = new BodyDef();
bodyDef2.type = BodyType.DYNAMIC;
// otocenie
bodyDef2.angle = -0.6f;
// smer pohybu
bodyDef2.linearVelocity = new v2(0.0f, 0.0f);
// rotacia (rychlost rotacie)
bodyDef2.angularVelocity = 0.0f;
Body2D newBody = p.W.addBody(bodyDef2);
PolygonShape shape2 = new PolygonShape();
shape2.setAsBox(0.25f, 0.25f);
Fixture f = newBody.addFixture(shape2, 1.0f);
// trenie
f.friction = 0.5f;
// odrazivost
f.restitution = 0.0f;
f.material = new Uniform();
f.material.m_rigidity = 1.0f;
}
// //ceiling rack
// addBox(p.W, -1, +0.4f, 0, +0.65f, false, true, true, true);
// new Pacman(p.W);
{
p.W.setContactListener(new Explosives.ExplosionContacts());
TheoJansen t = new TheoJansen(p.W, 0.35f);
PhyWall.PhyWindow pw = p.put(new Gridding(0.5f, new Port((float[] v) -> {
// System.out.println(v);
t.motorJoint.setMotorSpeed(v[0] * 2 - v[1] * 2);
t.motorJoint.setMaxMotorTorque(v[2]);
t.motorJoint.enableLimit(true);
t.motorJoint.setLimits((float) (-v[3] * Math.PI), (float) (+v[4] * Math.PI));
if (v[5] > 0.5f) {
t.gun.fire();
}
t.turretJoint.setLimits((float) (+Math.PI / 2 + v[6] * Math.PI - 0.1f), (float) (+Math.PI / 2 + v[6] * Math.PI + 0.1f));
})), 0.8f, 0.4f);
p.W.addJoint(new RevoluteJoint(p.W, new RevoluteJointDef(pw.body, t.chassis)));
}
{
p.W.setParticleRadius(0.05f);
p.W.setParticleDamping(0.1f);
CircleShape shape = new CircleShape();
shape.center.set(0, 10);
shape.radius = 2f;
ParticleGroupDef pd = new ParticleGroupDef();
pd.flags = ParticleType.b2_waterParticle;
// b2_viscousParticle;
// b2_elasticParticle;
// b2_springParticle;
// b2_powderParticle;
pd.color = new ParticleColor(0.7f, 0.1f, 0.1f, 0.8f);
pd.shape = shape;
p.W.addParticles(pd);
}
HaiQae q = new HaiQae(8, 2);
float[] in = new float[q.ae.inputs()];
final Tensor randomVector = Tensor.randomVectorGauss(in.length, 0, 1, rng);
final FloatRange lerpRate = new FloatRange(0.01f, 0, 1f);
final TensorLERP lerpVector = new TensorLERP(randomVector, lerpRate);
PhyWall.PhyWindow w = p.put(new Gridding(0.25f, new AutoUpdateMatrixView(lerpVector.data), new LabeledPane("lerp", new XYSlider().on((x, y) -> {
lerpRate.set(x);
})), new LabeledPane("out", new Port((x) -> {
}) {
@Override
public void prePaint(int dtMS) {
super.prePaint(dtMS);
out(lerpVector.data);
}
})), 0.5f, 0.5f);
p.put(new TogglePort(), 0.25f, 0.25f);
PhyWall.PhyWindow qw = p.put(new Gridding(new Label("HaiQ"), new AutoSurface<>(q), new LabeledPane("input", new Port((float[] i) -> {
System.arraycopy(i, 0, in, 0, i.length);
})), new Gridding(VERTICAL, new AutoUpdateMatrixView(in), new AutoUpdateMatrixView(q.ae.x), new AutoUpdateMatrixView(q.ae.W), new AutoUpdateMatrixView(q.ae.y)), new Gridding(VERTICAL, new AutoUpdateMatrixView(q.q), new AutoUpdateMatrixView(q.et))), 1, 1);
Loop.of(() -> {
lerpVector.update();
q.act((((float) Math.random()) - 0.5f) * 2, in);
}).runFPS(25);
}
use of jcog.math.FloatRange 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);
}
}
use of jcog.math.FloatRange in project narchy by automenta.
the class ExeCharts method metaGoalPlot.
public static Surface metaGoalPlot(NAR nar) {
int s = nar.causes.size();
FloatRange gain = new FloatRange(20f, 0f, 20f);
BitmapMatrixView bmp = new BitmapMatrixView((i) -> Util.tanhFast(gain.floatValue() * nar.causes.get(i).value()), // Util.tanhFast(nar.causes.get(i).value()),
s, Math.max(1, (int) Math.ceil(Math.sqrt(s))), Draw::colorBipolar) {
DurService on;
{
on = DurService.on(nar, this::update);
}
@Override
public void stop() {
on.off();
on = null;
super.stop();
}
};
return new Splitting(bmp, new AutoSurface<>(gain), 0.1f);
}
use of jcog.math.FloatRange in project narchy by automenta.
the class DigitizedScalarTest method testServiceAndFluidEncoder.
@Test
public void testServiceAndFluidEncoder() throws Narsese.NarseseException {
NAR n = NARS.tmp();
FloatRange x = new FloatRange(0f, 0f, 1f);
DigitizedScalar xc = new DigitizedScalar(x, DigitizedScalar.Fluid, n, $.$("x(0)"), $.$("x(1)"));
int dt = 20;
for (float v : new float[] { 0f, 0.5f, 1f }) {
x.set(v);
xc.update(n.time() - n.dur() / 2, n.time() + n.dur() / 2, n.dur(), n);
n.run(1);
System.out.println("\n" + n.time() + " x=" + x);
xc.forEach(d -> {
Truth bt = n.beliefTruth(d, n.time());
System.out.println(d + "\t" + bt);
});
int m = (dt - 1) / 2;
n.run(m);
Truth[] f = xc.belief(n.time(), n);
float tolerance = 0.18f;
if (v == 0) {
assertEquals(0.0f, f[0].freq(), tolerance);
assertEquals(0.0f, f[1].freq(), tolerance);
} else if (v == 0.5f) {
assertEquals(1.0f, f[0].freq(), tolerance);
assertEquals(0.0f, f[1].freq(), tolerance);
} else if (v == 1f) {
assertEquals(1.0f, f[0].freq(), tolerance);
assertEquals(1.0f, f[1].freq(), tolerance);
}
n.run(dt - 1 - m);
}
}
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