List of usage examples for org.apache.commons.math3.random RandomGenerator RandomGenerator
RandomGenerator
From source file:io.coala.math3.Math3PseudoRandom.java
/** * @param rng the {@link PseudoRandom} to unwrap (if possible) * @return the unwrapped {@link RandomGenerator} or otherwise a decorated * {@link PseudoRandom}// w ww.j a v a 2s .c o m */ public static RandomGenerator toRandomGenerator(final PseudoRandom rng) { return rng instanceof Math3PseudoRandom ? ((Math3PseudoRandom) rng).unwrap() : new RandomGenerator() { @Override public void setSeed(final int seed) { throw ExceptionFactory.createUnchecked("Seed can be set only once"); } @Override public void setSeed(final int[] seed) { throw ExceptionFactory.createUnchecked("Seed can be set only once"); } @Override public void setSeed(final long seed) { throw ExceptionFactory.createUnchecked("Seed can be set only once"); } @Override public void nextBytes(final byte[] bytes) { rng.nextBytes(bytes); } @Override public int nextInt() { return rng.nextInt(); } @Override public int nextInt(int n) { return rng.nextInt(n); } @Override public long nextLong() { return rng.nextInt(); } @Override public boolean nextBoolean() { return rng.nextBoolean(); } @Override public float nextFloat() { return rng.nextFloat(); } @Override public double nextDouble() { return rng.nextDouble(); } @Override public double nextGaussian() { return rng.nextGaussian(); } }; }
From source file:edu.byu.nlp.crowdsourcing.ModelInitializationTest.java
@Test public void testNoisyInitializer() { // a dummy rand number generator RandomGenerator rnd = new RandomGenerator() { private int i = 0; private int j = 0; @Override/*from w w w .java 2 s . c o m*/ public int nextInt(int arg0) { return new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 }[i++]; } @Override public double nextDouble() { return new double[] { .1, .9, .1, .9, .1, .9, .1, .9, .1, .9 }[j++]; } @Override public void setSeed(long arg0) { } @Override public void setSeed(int[] arg0) { } @Override public void setSeed(int arg0) { } @Override public long nextLong() { throw new UnsupportedOperationException(); } @Override public int nextInt() { throw new UnsupportedOperationException(); } @Override public double nextGaussian() { throw new UnsupportedOperationException(); } @Override public float nextFloat() { throw new UnsupportedOperationException(); } @Override public void nextBytes(byte[] arg0) { throw new UnsupportedOperationException(); } @Override public boolean nextBoolean() { throw new UnsupportedOperationException(); } }; // a do-nothing delegate AssignmentInitializer delegate = new AssignmentInitializer() { @Override public void setData(Dataset data, Map<String, Integer> instanceIndices) { } @Override public void initialize(int[] assignments) { } }; int[] arr = new int[] { 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 }; NoisyInitializer noisyInit = new ModelInitialization.NoisyInitializer(delegate, 0.8, 4, rnd); noisyInit.initialize(arr); Assertions.assertThat(arr).isEqualTo(new int[] { 0, 9, 1, 9, 2, 9, 3, 9, 4, 9 }); }
From source file:com.github.rinde.rinsim.geom.GraphsTest.java
@Test public void getRandomNodeImpossible() { Point A, B, C, D;/* ww w .j a va 2 s . com*/ A = new Point(0, 0); B = new Point(0, 10); C = new Point(10, 10); D = new Point(10, 0); Graphs.addBiPath(graph, A, B, C, D, A); final RandomGenerator rg = new RandomGenerator() { @Override public void setSeed(long arg0) { } @Override public void setSeed(@Nullable int[] arg0) { } @Override public void setSeed(int arg0) { } @Override public long nextLong() { return 0; } @Override public int nextInt(int arg0) { return arg0 + 1; } @Override public int nextInt() { return 0; } @Override public double nextGaussian() { return 0; } @Override public float nextFloat() { return 0; } @Override public double nextDouble() { return 0; } @Override public void nextBytes(@Nullable byte[] arg0) { } @Override public boolean nextBoolean() { return false; } }; boolean flag = false; try { graph.getRandomNode(rg); } catch (final IllegalStateException e) { flag = true; } assertTrue(flag); }
From source file:org.compevol.ssgd.MaximumLikelihood.java
public MaximumLikelihood(final MultivariateFunction likelihood, final Parameter variables) { this.likelihood = likelihood; this.variables = variables; initial = new double[variables.getDimension()]; Arrays.fill(initial, 1);/*from w ww .j ava 2 s.c om*/ optimizer = new CMAESOptimizer(Integer.MAX_VALUE, 0.0, true, 0, 8096, new RandomGenerator() { @Override public void setSeed(int i) { throw new UnsupportedOperationException(); } @Override public void setSeed(int[] ints) { throw new UnsupportedOperationException(); } @Override public void setSeed(long l) { throw new UnsupportedOperationException(); } @Override public void nextBytes(byte[] bytes) { MathUtils.nextBytes(bytes); } @Override public int nextInt() { return MathUtils.nextInt(); } @Override public int nextInt(int i) { return MathUtils.nextInt(i); } @Override public long nextLong() { return MathUtils.nextLong(); } @Override public boolean nextBoolean() { return MathUtils.nextBoolean(); } @Override public float nextFloat() { return MathUtils.nextFloat(); } @Override public double nextDouble() { return MathUtils.nextDouble(); } @Override public double nextGaussian() { return MathUtils.nextGaussian(); } }, true, new SimplePointChecker<PointValuePair>(MachineAccuracy.SQRT_EPSILON, MachineAccuracy.EPSILON)); }