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benchmark: JMH experiments
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package de.uni_marburg.powersort.benchmark;
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import de.uni_marburg.powersort.TimSort;
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import org.openjdk.jmh.annotations.*;
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import org.openjdk.jmh.infra.Blackhole;
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import java.util.Arrays;
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import java.util.concurrent.TimeUnit;
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// TODO: The parameters are way too low. Use for debugging only!
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@Fork(0)
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@Warmup(iterations = 0)
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@Measurement(iterations = 3)
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public class BenchmarkJmh {
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@State(Scope.Benchmark)
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public static class State1 {
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Integer[] readOnly = IntegerArray.random(500_000);;
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Integer[] a;
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@Setup(Level.Invocation)
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public void setup() {
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a = Arrays.copyOf(readOnly, readOnly.length);
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}
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}
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@BenchmarkMode(Mode.AverageTime)
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@OutputTimeUnit(TimeUnit.MILLISECONDS)
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@Benchmark
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public void rand1DummySort(State1 s, Blackhole bh) {
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DummySort.sort(s.a, 0, s.a.length, NaturalOrder.INSTANCE, null, 0, 0);
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}
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@BenchmarkMode(Mode.AverageTime)
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@OutputTimeUnit(TimeUnit.MILLISECONDS)
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@Benchmark
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public void rand1TimSort(State1 s, Blackhole bh) {
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TimSort.sort(s.a, 0, s.a.length, NaturalOrder.INSTANCE, null, 0, 0);
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bh.consume(s);
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}
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@BenchmarkMode(Mode.AverageTime)
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@OutputTimeUnit(TimeUnit.MILLISECONDS)
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@Benchmark
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public void rand1MergeSort(State1 s) {
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MergeSort.legacyMergeSort(s.a, NaturalOrder.INSTANCE);
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}
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}
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package de.uni_marburg.powersort.benchmark;
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public class IntegerArray {
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private IntegerArray() {
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}
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public static Integer[] random(final int length) {
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return random(length, Integer.MIN_VALUE, Integer.MAX_VALUE);
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}
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public static Integer[] random(final int length, final int minInt, final int maxInt) {
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final Integer[] list = new Integer[length];
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for (int i = 0; i < length; i++) {
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list[i] = RandomInt.integer(minInt, maxInt);
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}
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return list;
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}
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}
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@ -6,6 +6,9 @@ import java.util.Arrays;
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import java.util.List;
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import java.util.function.Supplier;
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/**
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* Custom benchmark.
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*/
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public class Main {
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public static void main(final String[] args) {
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final SortImpl[] sortImplementations = getSortImplementations();
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package de.uni_marburg.powersort.benchmark;
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import java.util.Comparator;
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/**
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* Copied from JDK23 Arrays.java
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*/
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public class MergeSort {
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/**
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* Tuning parameter: list size at or below which insertion sort will be
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* used in preference to mergesort.
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* To be removed in a future release.
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*/
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private static final int INSERTIONSORT_THRESHOLD = 7;
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/** To be removed in a future release. */
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public static <T> void legacyMergeSort(T[] a, Comparator<? super T> c) {
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T[] aux = a.clone();
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mergeSort(aux, a, 0, a.length, 0, c);
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}
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/**
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* Src is the source array that starts at index 0
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* Dest is the (possibly larger) array destination with a possible offset
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* low is the index in dest to start sorting
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* high is the end index in dest to end sorting
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* off is the offset into src corresponding to low in dest
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* To be removed in a future release.
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*/
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@SuppressWarnings({"rawtypes", "unchecked"})
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private static void mergeSort(Object[] src,
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Object[] dest,
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int low, int high, int off,
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Comparator c) {
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int length = high - low;
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// Insertion sort on smallest arrays
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if (length < INSERTIONSORT_THRESHOLD) {
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for (int i=low; i<high; i++)
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for (int j=i; j>low && c.compare(dest[j-1], dest[j])>0; j--)
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swap(dest, j, j-1);
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return;
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}
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// Recursively sort halves of dest into src
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int destLow = low;
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int destHigh = high;
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low += off;
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high += off;
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int mid = (low + high) >>> 1;
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mergeSort(dest, src, low, mid, -off, c);
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mergeSort(dest, src, mid, high, -off, c);
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// If list is already sorted, just copy from src to dest. This is an
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// optimization that results in faster sorts for nearly ordered lists.
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if (c.compare(src[mid-1], src[mid]) <= 0) {
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System.arraycopy(src, low, dest, destLow, length);
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return;
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}
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// Merge sorted halves (now in src) into dest
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for(int i = destLow, p = low, q = mid; i < destHigh; i++) {
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if (q >= high || p < mid && c.compare(src[p], src[q]) <= 0)
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dest[i] = src[p++];
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else
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dest[i] = src[q++];
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}
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}
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/**
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* Swaps x[a] with x[b].
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*/
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private static void swap(Object[] x, int a, int b) {
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Object t = x[a];
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x[a] = x[b];
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x[b] = t;
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}
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}
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package de.uni_marburg.powersort.benchmark;
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/**
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* Provides utility methods related to random integers.
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*/
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public final class RandomInt {
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private RandomInt() {
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}
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/**
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* Returns a random integer.
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*
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* @return A random integer.
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*/
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public static int integer() {
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return integer(Integer.MIN_VALUE, Integer.MAX_VALUE);
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}
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public static int integer(final int minInt, final int maxInt) {
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final double random = Math.random() * (maxInt - minInt) - minInt;
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return (int) Math.round(random);
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}
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}
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package de.uni_marburg.powersort.benchmark;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.Test;
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class RandomIntTest {
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protected RandomIntTest(){
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// This constructor is intentionally empty. Nothing special is needed here.
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}
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@Test
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void testRandomInt() {
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final double accuracy = 0.99;
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final int min = (int) Math.round(Integer.MIN_VALUE * accuracy);
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final int max = (int) Math.round(Integer.MAX_VALUE * accuracy);
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boolean minPassed = false;
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boolean maxPassed = false;
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for (int i = 0; i < 1000; i++) {
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final int random = RandomInt.integer();
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System.out.println(random); //NOPMD - suppressed SystemPrintln - Testing
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if (random <= min) {
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minPassed = true;
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}
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if (random >= max) {
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maxPassed = true;
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}
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if (minPassed && maxPassed) {
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return;
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}
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}
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Assertions.fail("min or max not reached - not a random int generator");
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}
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}
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