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Statistical sampling library for use in virtdata libraries, based
on apache commons math 4
/*
* 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;
/**
* Functions used by some of the samplers.
* This class is not part of the public API, as it would be
* better to group these utilities in a dedicated components.
*/
class InternalUtils { // Class is package-private on purpose; do not make it public.
/** All long-representable factorials. */
private static final long[] FACTORIALS = new long[] {
1L, 1L, 2L,
6L, 24L, 120L,
720L, 5040L, 40320L,
362880L, 3628800L, 39916800L,
479001600L, 6227020800L, 87178291200L,
1307674368000L, 20922789888000L, 355687428096000L,
6402373705728000L, 121645100408832000L, 2432902008176640000L };
/** Utility class. */
private InternalUtils() {}
/**
* @param n Argument.
* @return {@code n!}
* @throws IndexOutOfBoundsException if the result is too large to be represented
* by a {@code long} (i.e. if {@code n > 20}), or {@code n} is negative.
*/
public static long factorial(int n) {
return FACTORIALS[n];
}
/**
* Class for computing the natural logarithm of the factorial of {@code n}.
* It allows to allocate a cache of precomputed values.
* In case of cache miss, computation is performed by a call to
* {@link InternalGamma#logGamma(double)}.
*/
public static final class FactorialLog {
/**
* Precomputed values of the function:
* {@code LOG_FACTORIALS[i] = log(i!)}.
*/
private final double[] LOG_FACTORIALS;
/**
* Creates an instance, reusing the already computed values if available.
*
* @param numValues Number of values of the function to compute.
* @param cache Existing cache.
* @throws NegativeArraySizeException if {@code numValues < 0}.
*/
private FactorialLog(int numValues,
double[] cache) {
LOG_FACTORIALS = new double[numValues];
final int beginCopy = 2;
final int endCopy = cache == null || cache.length <= beginCopy ?
beginCopy : cache.length <= numValues ?
cache.length : numValues;
// Copy available values.
for (int i = beginCopy; i < endCopy; i++) {
LOG_FACTORIALS[i] = cache[i];
}
// Precompute.
for (int i = endCopy; i < numValues; i++) {
LOG_FACTORIALS[i] = LOG_FACTORIALS[i - 1] + Math.log(i);
}
}
/**
* Creates an instance with no precomputed values.
*
* @return an instance with no precomputed values.
*/
public static FactorialLog create() {
return new FactorialLog(0, null);
}
/**
* Creates an instance with the specified cache size.
*
* @param cacheSize Number of precomputed values of the function.
* @return a new instance where {@code cacheSize} values have been
* precomputed.
* @throws IllegalArgumentException if {@code n < 0}.
*/
public FactorialLog withCache(final int cacheSize) {
return new FactorialLog(cacheSize, LOG_FACTORIALS);
}
/**
* Computes {@code log(n!)}.
*
* @param n Argument.
* @return {@code log(n!)}.
* @throws IndexOutOfBoundsException if {@code numValues < 0}.
*/
public double value(final int n) {
// Use cache of precomputed values.
if (n < LOG_FACTORIALS.length) {
return LOG_FACTORIALS[n];
}
// Use cache of precomputed factorial values.
if (n < FACTORIALS.length) {
return Math.log(FACTORIALS[n]);
}
// Delegate.
return InternalGamma.logGamma(n + 1);
}
}
}