/*
* Java Genetic Algorithm Library (@__identifier__@).
* Copyright (c) @__year__@ Franz Wilhelmstötter
*
* Licensed 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.
*
* Author:
* Franz Wilhelmstötter (franz.wilhelmstoetter@gmx.at)
*/
package org.jenetics.internal.math;
import java.util.Random;
import org.testng.Assert;
import org.testng.annotations.Test;
import org.jenetics.util.RandomRegistry;
/**
* @author <a href="mailto:franz.wilhelmstoetter@gmx.at">Franz Wilhelmstötter</a>
*/
public class probabilityTest {
@Test
public void toIntToFloat() {
final Random random = RandomRegistry.getRandom();
for (int i = 0; i < 100000; ++i) {
final float p = random.nextFloat();
final int ip = probability.toInt(p);
final float fip = probability.toFloat(ip);
Assert.assertEquals(fip, p, 0.000001F);
}
}
@Test
public void probabilityToInt() {
Assert.assertEquals(probability.toInt(0), Integer.MIN_VALUE);
Assert.assertEquals(probability.toInt(1), Integer.MAX_VALUE);
Assert.assertEquals(probability.toInt(0.5), 0);
Assert.assertEquals(probability.toInt(0.25), Integer.MIN_VALUE/2);
Assert.assertEquals(probability.toInt(0.75), Integer.MAX_VALUE/2);
}
}