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/*
* 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.distribution;
import org.apache.commons.rng.UniformRandomProvider;
/**
* Sampling from a <a href="https://en.wikipedia.org/wiki/Pareto_distribution">Pareto distribution</a>.
*/
public class InverseTransformParetoSampler
extends SamplerBase
implements ContinuousSampler {
/** Scale. */
private final double scale;
/** Shape. */
private final double shape;
/** Underlying source of randomness. */
private final UniformRandomProvider rng;
/**
* @param rng Generator of uniformly distributed random numbers.
* @param scale Scale of the distribution.
* @param shape Shape of the distribution.
*/
public InverseTransformParetoSampler(UniformRandomProvider rng,
double scale,
double shape) {
super(null);
this.rng = rng;
this.scale = scale;
this.shape = shape;
}
/** {@inheritDoc} */
@Override
public double sample() {
return scale / Math.pow(rng.nextDouble(), 1 / shape);
}
/** {@inheritDoc} */
@Override
public String toString() {
return "[Inverse method for Pareto distribution " + rng.toString() + "]";
}
}