BoxSampler.java
- /*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements. See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License. You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
- package org.apache.commons.rng.sampling.shape;
- import org.apache.commons.rng.UniformRandomProvider;
- import org.apache.commons.rng.sampling.SharedStateObjectSampler;
- /**
- * Generate points uniformly distributed within a n-dimension box (hyperrectangle).
- *
- * <p>Sampling uses:</p>
- *
- * <ul>
- * <li>{@link UniformRandomProvider#nextDouble()}
- * </ul>
- *
- * @see <a href="https://en.wikipedia.org/wiki/Hyperrectangle">Hyperrectangle (Wikipedia)</a>
- * @since 1.4
- */
- public abstract class BoxSampler implements SharedStateObjectSampler<double[]> {
- /** The dimension for 2D sampling. */
- private static final int TWO_D = 2;
- /** The dimension for 3D sampling. */
- private static final int THREE_D = 3;
- /** The source of randomness. */
- private final UniformRandomProvider rng;
- // The following code defines a point within the range ab:
- // p = (1 - u)a + ub, u in [0, 1]
- //
- // This is the same method used in the
- // o.a.c.rng.sampling.distribution.ContinuousUniformSampler but extended to N-dimensions.
- /**
- * Sample uniformly from a box in 2D. This is an non-array based specialisation of
- * {@link BoxSamplerND} for performance.
- */
- private static final class BoxSampler2D extends BoxSampler {
- /** The x component of bound a. */
- private final double ax;
- /** The y component of bound a. */
- private final double ay;
- /** The x component of bound b. */
- private final double bx;
- /** The y component of bound b. */
- private final double by;
- /**
- * @param rng Source of randomness.
- * @param a Bound a.
- * @param b Bound b.
- */
- BoxSampler2D(UniformRandomProvider rng, double[] a, double[] b) {
- super(rng);
- ax = a[0];
- ay = a[1];
- bx = b[0];
- by = b[1];
- }
- /**
- * @param rng Source of randomness.
- * @param source Source to copy.
- */
- BoxSampler2D(UniformRandomProvider rng, BoxSampler2D source) {
- super(rng);
- ax = source.ax;
- ay = source.ay;
- bx = source.bx;
- by = source.by;
- }
- @Override
- public double[] sample() {
- return new double[] {createSample(ax, bx),
- createSample(ay, by)};
- }
- @Override
- public BoxSampler withUniformRandomProvider(UniformRandomProvider rng) {
- return new BoxSampler2D(rng, this);
- }
- }
- /**
- * Sample uniformly from a box in 3D. This is an non-array based specialisation of
- * {@link BoxSamplerND} for performance.
- */
- private static final class BoxSampler3D extends BoxSampler {
- /** The x component of bound a. */
- private final double ax;
- /** The y component of bound a. */
- private final double ay;
- /** The z component of bound a. */
- private final double az;
- /** The x component of bound b. */
- private final double bx;
- /** The y component of bound b. */
- private final double by;
- /** The z component of bound b. */
- private final double bz;
- /**
- * @param rng Source of randomness.
- * @param a Bound a.
- * @param b Bound b.
- */
- BoxSampler3D(UniformRandomProvider rng, double[] a, double[] b) {
- super(rng);
- ax = a[0];
- ay = a[1];
- az = a[2];
- bx = b[0];
- by = b[1];
- bz = b[2];
- }
- /**
- * @param rng Source of randomness.
- * @param source Source to copy.
- */
- BoxSampler3D(UniformRandomProvider rng, BoxSampler3D source) {
- super(rng);
- ax = source.ax;
- ay = source.ay;
- az = source.az;
- bx = source.bx;
- by = source.by;
- bz = source.bz;
- }
- @Override
- public double[] sample() {
- return new double[] {createSample(ax, bx),
- createSample(ay, by),
- createSample(az, bz)};
- }
- @Override
- public BoxSampler withUniformRandomProvider(UniformRandomProvider rng) {
- return new BoxSampler3D(rng, this);
- }
- }
- /**
- * Sample uniformly from a box in ND.
- */
- private static final class BoxSamplerND extends BoxSampler {
- /** Bound a. */
- private final double[] a;
- /** Bound b. */
- private final double[] b;
- /**
- * @param rng Source of randomness.
- * @param a Bound a.
- * @param b Bound b.
- */
- BoxSamplerND(UniformRandomProvider rng, double[] a, double[] b) {
- super(rng);
- // Defensive copy
- this.a = a.clone();
- this.b = b.clone();
- }
- /**
- * @param rng Source of randomness.
- * @param source Source to copy.
- */
- BoxSamplerND(UniformRandomProvider rng, BoxSamplerND source) {
- super(rng);
- // Shared state is immutable
- a = source.a;
- b = source.b;
- }
- @Override
- public double[] sample() {
- final double[] x = new double[a.length];
- for (int i = 0; i < x.length; i++) {
- x[i] = createSample(a[i], b[i]);
- }
- return x;
- }
- @Override
- public BoxSampler withUniformRandomProvider(UniformRandomProvider rng) {
- return new BoxSamplerND(rng, this);
- }
- }
- /**
- * @param rng Source of randomness.
- */
- BoxSampler(UniformRandomProvider rng) {
- this.rng = rng;
- }
- /**
- * @return a random Cartesian coordinate within the box.
- */
- @Override
- public abstract double[] sample();
- /**
- * Creates the sample between bound a and b.
- *
- * @param a Bound a
- * @param b Bound b
- * @return the sample
- */
- double createSample(double a, double b) {
- final double u = rng.nextDouble();
- return (1.0 - u) * a + u * b;
- }
- /** {@inheritDoc} */
- // Redeclare the signature to return a BoxSampler not a SharedStateObjectSampler<double[]>
- @Override
- public abstract BoxSampler withUniformRandomProvider(UniformRandomProvider rng);
- /**
- * Create a box sampler with bounds {@code a} and {@code b}.
- * Sampled points are uniformly distributed within the box defined by the bounds.
- *
- * <p>Sampling is supported in dimensions of 2 or above. Single dimension sampling
- * can be performed using a {@link LineSampler}.
- *
- * <p>Note: There is no requirement that {@code a <= b}. The samples will be uniformly
- * distributed in the range {@code a} to {@code b} for each dimension.
- *
- * @param rng Source of randomness.
- * @param a Bound a.
- * @param b Bound b.
- * @return the sampler
- * @throws IllegalArgumentException If the bounds do not have the same
- * dimension; the dimension is less than 2; or bounds have non-finite coordinates.
- */
- public static BoxSampler of(UniformRandomProvider rng,
- double[] a,
- double[] b) {
- final int dimension = a.length;
- if (dimension != b.length) {
- throw new IllegalArgumentException(
- new StringBuilder("Mismatch of box dimensions: ").append(dimension).append(',')
- .append(b.length).toString());
- }
- // Detect non-finite bounds
- Coordinates.requireFinite(a, "Bound a");
- Coordinates.requireFinite(b, "Bound b");
- // Low dimension specialisations
- if (dimension == TWO_D) {
- return new BoxSampler2D(rng, a, b);
- } else if (dimension == THREE_D) {
- return new BoxSampler3D(rng, a, b);
- } else if (dimension > THREE_D) {
- return new BoxSamplerND(rng, a, b);
- }
- // Less than 2D
- throw new IllegalArgumentException("Unsupported dimension: " + dimension);
- }
- }