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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 uniform distribution.
*/
public class ContinuousUniformSampler
extends SamplerBase
implements ContinuousSampler {
/** Lower bound. */
private final double lo;
/** Higher bound. */
private final double hi;
/** Underlying source of randomness. */
private final UniformRandomProvider rng;
/**
* @param rng Generator of uniformly distributed random numbers.
* @param lo Lower bound.
* @param hi Higher bound.
*/
public ContinuousUniformSampler(UniformRandomProvider rng,
double lo,
double hi) {
super(null);
this.rng = rng;
this.lo = lo;
this.hi = hi;
}
/** {@inheritDoc} */
@Override
public double sample() {
final double u = rng.nextDouble();
return u * hi + (1 - u) * lo;
}
/** {@inheritDoc} */
@Override
public String toString() {
return "Uniform deviate [" + rng.toString() + "]";
}
}