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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.RestorableUniformRandomProvider;
import org.apache.commons.rng.UniformRandomProvider;
import org.apache.commons.rng.sampling.RandomAssert;
import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
* Test for the {@link InverseTransformParetoSampler}. The tests hit edge cases for the sampler.
*/
public class InverseTransformParetoSamplerTest {
/**
* Test the constructor with a bad scale.
*/
@Test(expected = IllegalArgumentException.class)
public void testConstructorThrowsWithZeroScale() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
final double scale = 0;
final double shape = 1;
InverseTransformParetoSampler.of(rng, scale, shape);
}
/**
* Test the constructor with a bad shape.
*/
@Test(expected = IllegalArgumentException.class)
public void testConstructorThrowsWithZeroShape() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
final double scale = 1;
final double shape = 0;
InverseTransformParetoSampler.of(rng, scale, shape);
}
/**
* Test the SharedStateSampler implementation.
*/
@Test
public void testSharedStateSampler() {
final UniformRandomProvider rng1 = RandomSource.create(RandomSource.SPLIT_MIX_64, 0L);
final UniformRandomProvider rng2 = RandomSource.create(RandomSource.SPLIT_MIX_64, 0L);
final double scale = 1.23;
final double shape = 4.56;
final SharedStateContinuousSampler sampler1 =
InverseTransformParetoSampler.of(rng1, scale, shape);
final SharedStateContinuousSampler sampler2 = sampler1.withUniformRandomProvider(rng2);
RandomAssert.assertProduceSameSequence(sampler1, sampler2);
}
}