blob: e43cce7abe005d14ffb1fdf4a3d8112ffe33406d [file] [log] [blame]
/*
* 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.datasketches.sampling;
import static org.apache.datasketches.BoundsOnBinomialProportions.approximateLowerBoundOnP;
import static org.apache.datasketches.BoundsOnBinomialProportions.approximateUpperBoundOnP;
import java.util.Random;
import java.util.concurrent.ThreadLocalRandom;
/**
* Common utility functions for the sampling family of sketches.
*
* @author Jon Malkin
*/
final class SamplingUtil {
/**
* Number of standard deviations to use for subset sum error bounds
*/
private static final double DEFAULT_KAPPA = 2.0;
private SamplingUtil() {}
/**
* Checks if target sampling allocation is more than 50% of max sampling size. If so, returns
* max sampling size, otherwise passes through the target size.
*
* @param maxSize Maximum allowed reservoir size, as from getK()
* @param resizeTarget Next size based on a pure ResizeFactor scaling
* @return <code>(reservoirSize_ &lt; 2*resizeTarget ? reservoirSize_ : resizeTarget)</code>
*/
static int getAdjustedSize(final int maxSize, final int resizeTarget) {
if (maxSize - (resizeTarget << 1) < 0L) {
return maxSize;
}
return resizeTarget;
}
static double nextDoubleExcludeZero() {
double r = rand().nextDouble();
while (r == 0.0) {
r = rand().nextDouble();
}
return r;
}
static int startingSubMultiple(final int lgTarget, final int lgRf, final int lgMin) {
return (lgTarget <= lgMin)
? lgMin : (lgRf == 0) ? lgTarget
: (lgTarget - lgMin) % lgRf + lgMin;
}
static double pseudoHypergeometricUBonP(final long n, final int k, final double samplingRate) {
final double adjustedKappa = DEFAULT_KAPPA * Math.sqrt(1 - samplingRate);
return approximateUpperBoundOnP(n, k, adjustedKappa);
}
static double pseudoHypergeometricLBonP(final long n, final int k, final double samplingRate) {
final double adjustedKappa = DEFAULT_KAPPA * Math.sqrt(1 - samplingRate);
return approximateLowerBoundOnP(n, k, adjustedKappa);
}
public static Random rand() {
return ThreadLocalRandom.current();
}
}