/*
 * 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.RandomProviderState;
import org.apache.commons.rng.RestorableUniformRandomProvider;
import org.apache.commons.rng.simple.RandomSource;
import org.junit.Assert;
import org.junit.Test;

/**
 * This test checks the {@link SmallMeanPoissonSampler} can be created
 * from a saved state.
 */
public class SmallMeanPoissonSamplerTest {

    // Edge cases for construction

    /**
     * Test the constructor with a bad mean.
     */
    @Test(expected=IllegalArgumentException.class)
    public void testConstructorThrowsWithMeanLargerThanUpperBound() {
        final RestorableUniformRandomProvider rng =
            RandomSource.create(RandomSource.SPLIT_MIX_64);
        @SuppressWarnings("unused")
        SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, Integer.MAX_VALUE / 2 + 1);
    }

    /**
     * Test the constructor with a bad mean.
     */
    @Test(expected=IllegalArgumentException.class)
    public void testConstructorThrowsWithZeroMean() {
        final RestorableUniformRandomProvider rng =
            RandomSource.create(RandomSource.SPLIT_MIX_64);
        @SuppressWarnings("unused")
        SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
    }
}
