1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17 package org.apache.commons.rng.sampling.distribution;
18
19 import org.apache.commons.rng.UniformRandomProvider;
20 import org.apache.commons.rng.sampling.RandomAssert;
21 import org.junit.jupiter.api.Test;
22
23 /**
24 * Test for the {@link InverseTransformDiscreteSampler}.
25 */
26 class InverseTransformDiscreteSamplerTest {
27 /**
28 * Test the SharedStateSampler implementation.
29 */
30 @Test
31 void testSharedStateSampler() {
32 DiscreteInverseCumulativeProbabilityFunction function =
33 new DiscreteInverseCumulativeProbabilityFunction() {
34 @Override
35 public int inverseCumulativeProbability(double p) {
36 return (int) Math.round(789 * p);
37 }
38 };
39 final UniformRandomProvider rng1 = RandomAssert.seededRNG();
40 final UniformRandomProvider rng2 = RandomAssert.seededRNG();
41 final SharedStateDiscreteSampler sampler1 =
42 InverseTransformDiscreteSampler.of(rng1, function);
43 final SharedStateDiscreteSampler sampler2 = sampler1.withUniformRandomProvider(rng2);
44 RandomAssert.assertProduceSameSequence(sampler1, sampler2);
45 }
46 }