/*
 * 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;
import org.apache.commons.rng.sampling.RandomAssert;
import org.junit.jupiter.api.Test;

/**
 * Test for the {@link InverseTransformDiscreteSampler}.
 */
class InverseTransformDiscreteSamplerTest {
    /**
     * Test the SharedStateSampler implementation.
     */
    @Test
    void testSharedStateSampler() {
        DiscreteInverseCumulativeProbabilityFunction function =
            new DiscreteInverseCumulativeProbabilityFunction() {
                @Override
                public int inverseCumulativeProbability(double p) {
                    return (int) Math.round(789 * p);
                }
            };
        final UniformRandomProvider rng1 = RandomAssert.seededRNG();
        final UniformRandomProvider rng2 = RandomAssert.seededRNG();
        final SharedStateDiscreteSampler sampler1 =
            InverseTransformDiscreteSampler.of(rng1, function);
        final SharedStateDiscreteSampler sampler2 = sampler1.withUniformRandomProvider(rng2);
        RandomAssert.assertProduceSameSequence(sampler1, sampler2);
    }
}
