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MATH-1598: Class is not used anymore within "Commons Math". 

Functionality is available from "Commons RNG".
This commit is contained in:
Gilles Sadowski 2021-06-02 03:26:14 +02:00
parent 456de1bf98
commit 536ee3f645
2 changed files with 0 additions and 98 deletions
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58
commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/random/UniformRandomGenerator.java
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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.math4.legacy.random;
import org.apache.commons.math4.legacy.core.jdkmath.AccurateMath;
import org.apache.commons.rng.UniformRandomProvider;
/**
* This class implements a normalized uniform random generator.
*
* <p>
* It generates values from a uniform distribution with mean
* equal to 0 and standard deviation equal to 1.
* Generated values fall in the range \( [-\sqrt{3}, +\sqrt{3}] \).
* </p>
*
* @since 1.2
*/
public class UniformRandomGenerator implements NormalizedRandomGenerator {
/** Square root of three. */
private static final double SQRT3 = AccurateMath.sqrt(3);
/** Underlying generator. */
private final UniformRandomProvider generator;
/**
* Creates a new generator.
*
* @param generator Underlying random generator.
*/
public UniformRandomGenerator(UniformRandomProvider generator) {
this.generator = generator;
}
/**
* Generates a random scalar with zero mean and unit standard deviation.
*
* @return a random scalar in the range \( [-\sqrt{3}, +\sqrt{3}] \).
*/
@Override
public double nextNormalizedDouble() {
return SQRT3 * (2 * generator.nextDouble() - 1);
}
}

40
commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/random/UniformRandomGeneratorTest.java
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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.math4.legacy.random;
import org.apache.commons.rng.UniformRandomProvider;
import org.apache.commons.rng.simple.RandomSource;
import org.apache.commons.math4.legacy.stat.StatUtils;
import org.junit.Assert;
import org.junit.Test;
public class UniformRandomGeneratorTest {
@Test
public void testMeanAndStandardDeviation() {
final UniformRandomProvider rg = RandomSource.create(RandomSource.ISAAC, 17399225432L);
UniformRandomGenerator generator = new UniformRandomGenerator(rg);
double[] sample = new double[10000];
for (int i = 0; i < sample.length; ++i) {
sample[i] = generator.nextNormalizedDouble();
}
Assert.assertEquals(0.0, StatUtils.mean(sample), 0.07);
Assert.assertEquals(1.0, StatUtils.variance(sample), 0.02);
}
}