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Statistical sampling library for use in virtdata libraries, based on apache commons math 4

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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.
 *
 * 

Sampling uses {@link UniformRandomProvider#nextDouble()}.

* * @since 1.0 */ 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() + "]"; } }




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