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/*
* Copyright (c) 1997, 2013, Oracle and/or its affiliates. All rights reserved.
* ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.
*
*
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*/
package java.util;
import java.lang.reflect.Array;
import java.util.concurrent.ForkJoinPool;
import java.util.function.BinaryOperator;
import java.util.function.DoubleBinaryOperator;
import java.util.function.IntBinaryOperator;
import java.util.function.IntFunction;
import java.util.function.IntToDoubleFunction;
import java.util.function.IntToLongFunction;
import java.util.function.IntUnaryOperator;
import java.util.function.LongBinaryOperator;
import java.util.stream.DoubleStream;
import java.util.stream.IntStream;
import java.util.stream.LongStream;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
/**
* This class contains various methods for manipulating arrays (such as
* sorting and searching). This class also contains a static factory
* that allows arrays to be viewed as lists.
*
* <p>The methods in this class all throw a {@code NullPointerException},
* if the specified array reference is null, except where noted.
*
* <p>The documentation for the methods contained in this class includes
* briefs description of the <i>implementations</i>. Such descriptions should
* be regarded as <i>implementation notes</i>, rather than parts of the
* <i>specification</i>. Implementors should feel free to substitute other
* algorithms, so long as the specification itself is adhered to. (For
* example, the algorithm used by {@code sort(Object[])} does not have to be
* a MergeSort, but it does have to be <i>stable</i>.)
*
* <p>This class is a member of the
* <a href="{@docRoot}/../technotes/guides/collections/index.html">
* Java Collections Framework</a>.
*
* @author Josh Bloch
* @author Neal Gafter
* @author John Rose
* @since 1.2
*/
public class Arrays {
/**
* The minimum array length below which a parallel sorting
* algorithm will not further partition the sorting task. Using
* smaller sizes typically results in memory contention across
* tasks that makes parallel speedups unlikely.
*/
private static final int MIN_ARRAY_SORT_GRAN = 1 << 13;
// Suppresses default constructor, ensuring non-instantiability.
private Arrays() {}
/**
* A comparator that implements the natural ordering of a group of
* mutually comparable elements. May be used when a supplied
* comparator is null. To simplify code-sharing within underlying
* implementations, the compare method only declares type Object
* for its second argument.
*
* Arrays class implementor's note: It is an empirical matter
* whether ComparableTimSort offers any performance benefit over
* TimSort used with this comparator. If not, you are better off
* deleting or bypassing ComparableTimSort. There is currently no
* empirical case for separating them for parallel sorting, so all
* public Object parallelSort methods use the same comparator
* based implementation.
*/
static final class NaturalOrder implements Comparator<Object> {
@SuppressWarnings("unchecked")
public int compare(Object first, Object second) {
return ((Comparable<Object>)first).compareTo(second);
}
static final NaturalOrder INSTANCE = new NaturalOrder();
}
/**
* Checks that {@code fromIndex} and {@code toIndex} are in
* the range and throws an exception if they aren't.
*/
private static void rangeCheck(int arrayLength, int fromIndex, int toIndex) {
if (fromIndex > toIndex) {
throw new IllegalArgumentException(
"fromIndex(" + fromIndex + ") > toIndex(" + toIndex + ")");
}
if (fromIndex < 0) {
throw new ArrayIndexOutOfBoundsException(fromIndex);
}
if (toIndex > arrayLength) {
throw new ArrayIndexOutOfBoundsException(toIndex);
}
}
/*
* Sorting methods. Note that all public "sort" methods take the
* same form: Performing argument checks if necessary, and then
* expanding arguments into those required for the internal
* implementation methods residing in other package-private
* classes (except for legacyMergeSort, included in this class).
*/
/**
* Sorts the specified array into ascending numerical order.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
*/
public static void sort(int[] a) {
DualPivotQuicksort.sort(a, 0, a.length - 1, null, 0, 0);
}
/**
* Sorts the specified range of the array into ascending order. The range
* to be sorted extends from the index {@code fromIndex}, inclusive, to
* the index {@code toIndex}, exclusive. If {@code fromIndex == toIndex},
* the range to be sorted is empty.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*/
public static void sort(int[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
}
/**
* Sorts the specified array into ascending numerical order.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
*/
public static void sort(long[] a) {
DualPivotQuicksort.sort(a, 0, a.length - 1, null, 0, 0);
}
/**
* Sorts the specified range of the array into ascending order. The range
* to be sorted extends from the index {@code fromIndex}, inclusive, to
* the index {@code toIndex}, exclusive. If {@code fromIndex == toIndex},
* the range to be sorted is empty.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*/
public static void sort(long[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
}
/**
* Sorts the specified array into ascending numerical order.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
*/
public static void sort(short[] a) {
DualPivotQuicksort.sort(a, 0, a.length - 1, null, 0, 0);
}
/**
* Sorts the specified range of the array into ascending order. The range
* to be sorted extends from the index {@code fromIndex}, inclusive, to
* the index {@code toIndex}, exclusive. If {@code fromIndex == toIndex},
* the range to be sorted is empty.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*/
public static void sort(short[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
}
/**
* Sorts the specified array into ascending numerical order.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
*/
public static void sort(char[] a) {
DualPivotQuicksort.sort(a, 0, a.length - 1, null, 0, 0);
}
/**
* Sorts the specified range of the array into ascending order. The range
* to be sorted extends from the index {@code fromIndex}, inclusive, to
* the index {@code toIndex}, exclusive. If {@code fromIndex == toIndex},
* the range to be sorted is empty.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*/
public static void sort(char[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
}
/**
* Sorts the specified array into ascending numerical order.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
*/
public static void sort(byte[] a) {
DualPivotQuicksort.sort(a, 0, a.length - 1);
}
/**
* Sorts the specified range of the array into ascending order. The range
* to be sorted extends from the index {@code fromIndex}, inclusive, to
* the index {@code toIndex}, exclusive. If {@code fromIndex == toIndex},
* the range to be sorted is empty.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*/
public static void sort(byte[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1);
}
/**
* Sorts the specified array into ascending numerical order.
*
* <p>The {@code <} relation does not provide a total order on all float
* values: {@code -0.0f == 0.0f} is {@code true} and a {@code Float.NaN}
* value compares neither less than, greater than, nor equal to any value,
* even itself. This method uses the total order imposed by the method
* {@link Float#compareTo}: {@code -0.0f} is treated as less than value
* {@code 0.0f} and {@code Float.NaN} is considered greater than any
* other value and all {@code Float.NaN} values are considered equal.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
*/
public static void sort(float[] a) {
DualPivotQuicksort.sort(a, 0, a.length - 1, null, 0, 0);
}
/**
* Sorts the specified range of the array into ascending order. The range
* to be sorted extends from the index {@code fromIndex}, inclusive, to
* the index {@code toIndex}, exclusive. If {@code fromIndex == toIndex},
* the range to be sorted is empty.
*
* <p>The {@code <} relation does not provide a total order on all float
* values: {@code -0.0f == 0.0f} is {@code true} and a {@code Float.NaN}
* value compares neither less than, greater than, nor equal to any value,
* even itself. This method uses the total order imposed by the method
* {@link Float#compareTo}: {@code -0.0f} is treated as less than value
* {@code 0.0f} and {@code Float.NaN} is considered greater than any
* other value and all {@code Float.NaN} values are considered equal.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*/
public static void sort(float[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
}
/**
* Sorts the specified array into ascending numerical order.
*
* <p>The {@code <} relation does not provide a total order on all double
* values: {@code -0.0d == 0.0d} is {@code true} and a {@code Double.NaN}
* value compares neither less than, greater than, nor equal to any value,
* even itself. This method uses the total order imposed by the method
* {@link Double#compareTo}: {@code -0.0d} is treated as less than value
* {@code 0.0d} and {@code Double.NaN} is considered greater than any
* other value and all {@code Double.NaN} values are considered equal.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
*/
public static void sort(double[] a) {
DualPivotQuicksort.sort(a, 0, a.length - 1, null, 0, 0);
}
/**
* Sorts the specified range of the array into ascending order. The range
* to be sorted extends from the index {@code fromIndex}, inclusive, to
* the index {@code toIndex}, exclusive. If {@code fromIndex == toIndex},
* the range to be sorted is empty.
*
* <p>The {@code <} relation does not provide a total order on all double
* values: {@code -0.0d == 0.0d} is {@code true} and a {@code Double.NaN}
* value compares neither less than, greater than, nor equal to any value,
* even itself. This method uses the total order imposed by the method
* {@link Double#compareTo}: {@code -0.0d} is treated as less than value
* {@code 0.0d} and {@code Double.NaN} is considered greater than any
* other value and all {@code Double.NaN} values are considered equal.
*
* <p>Implementation note: The sorting algorithm is a Dual-Pivot Quicksort
* by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm
* offers O(n log(n)) performance on many data sets that cause other
* quicksorts to degrade to quadratic performance, and is typically
* faster than traditional (one-pivot) Quicksort implementations.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*/
public static void sort(double[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
}
/**
* Sorts the specified array into ascending numerical order.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(byte[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(byte[]) Arrays.sort} method. The algorithm requires a
* working space no greater than the size of the original array. The
* {@link ForkJoinPool#commonPool() ForkJoin common pool} is used to
* execute any parallel tasks.
*
* @param a the array to be sorted
*
* @since 1.8
*/
public static void parallelSort(byte[] a) {
int n = a.length, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, 0, n - 1);
else
new ArraysParallelSortHelpers.FJByte.Sorter
(null, a, new byte[n], 0, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified range of the array into ascending numerical order.
* The range to be sorted extends from the index {@code fromIndex},
* inclusive, to the index {@code toIndex}, exclusive. If
* {@code fromIndex == toIndex}, the range to be sorted is empty.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(byte[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(byte[]) Arrays.sort} method. The algorithm requires a working
* space no greater than the size of the specified range of the original
* array. The {@link ForkJoinPool#commonPool() ForkJoin common pool} is
* used to execute any parallel tasks.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*
* @since 1.8
*/
public static void parallelSort(byte[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
int n = toIndex - fromIndex, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1);
else
new ArraysParallelSortHelpers.FJByte.Sorter
(null, a, new byte[n], fromIndex, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified array into ascending numerical order.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(char[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(char[]) Arrays.sort} method. The algorithm requires a
* working space no greater than the size of the original array. The
* {@link ForkJoinPool#commonPool() ForkJoin common pool} is used to
* execute any parallel tasks.
*
* @param a the array to be sorted
*
* @since 1.8
*/
public static void parallelSort(char[] a) {
int n = a.length, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, 0, n - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJChar.Sorter
(null, a, new char[n], 0, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified range of the array into ascending numerical order.
* The range to be sorted extends from the index {@code fromIndex},
* inclusive, to the index {@code toIndex}, exclusive. If
* {@code fromIndex == toIndex}, the range to be sorted is empty.
*
@implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(char[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(char[]) Arrays.sort} method. The algorithm requires a working
* space no greater than the size of the specified range of the original
* array. The {@link ForkJoinPool#commonPool() ForkJoin common pool} is
* used to execute any parallel tasks.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*
* @since 1.8
*/
public static void parallelSort(char[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
int n = toIndex - fromIndex, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJChar.Sorter
(null, a, new char[n], fromIndex, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified array into ascending numerical order.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(short[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(short[]) Arrays.sort} method. The algorithm requires a
* working space no greater than the size of the original array. The
* {@link ForkJoinPool#commonPool() ForkJoin common pool} is used to
* execute any parallel tasks.
*
* @param a the array to be sorted
*
* @since 1.8
*/
public static void parallelSort(short[] a) {
int n = a.length, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, 0, n - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJShort.Sorter
(null, a, new short[n], 0, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified range of the array into ascending numerical order.
* The range to be sorted extends from the index {@code fromIndex},
* inclusive, to the index {@code toIndex}, exclusive. If
* {@code fromIndex == toIndex}, the range to be sorted is empty.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(short[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(short[]) Arrays.sort} method. The algorithm requires a working
* space no greater than the size of the specified range of the original
* array. The {@link ForkJoinPool#commonPool() ForkJoin common pool} is
* used to execute any parallel tasks.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*
* @since 1.8
*/
public static void parallelSort(short[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
int n = toIndex - fromIndex, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJShort.Sorter
(null, a, new short[n], fromIndex, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified array into ascending numerical order.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(int[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(int[]) Arrays.sort} method. The algorithm requires a
* working space no greater than the size of the original array. The
* {@link ForkJoinPool#commonPool() ForkJoin common pool} is used to
* execute any parallel tasks.
*
* @param a the array to be sorted
*
* @since 1.8
*/
public static void parallelSort(int[] a) {
int n = a.length, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, 0, n - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJInt.Sorter
(null, a, new int[n], 0, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified range of the array into ascending numerical order.
* The range to be sorted extends from the index {@code fromIndex},
* inclusive, to the index {@code toIndex}, exclusive. If
* {@code fromIndex == toIndex}, the range to be sorted is empty.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(int[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(int[]) Arrays.sort} method. The algorithm requires a working
* space no greater than the size of the specified range of the original
* array. The {@link ForkJoinPool#commonPool() ForkJoin common pool} is
* used to execute any parallel tasks.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*
* @since 1.8
*/
public static void parallelSort(int[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
int n = toIndex - fromIndex, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJInt.Sorter
(null, a, new int[n], fromIndex, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified array into ascending numerical order.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(long[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(long[]) Arrays.sort} method. The algorithm requires a
* working space no greater than the size of the original array. The
* {@link ForkJoinPool#commonPool() ForkJoin common pool} is used to
* execute any parallel tasks.
*
* @param a the array to be sorted
*
* @since 1.8
*/
public static void parallelSort(long[] a) {
int n = a.length, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, 0, n - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJLong.Sorter
(null, a, new long[n], 0, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified range of the array into ascending numerical order.
* The range to be sorted extends from the index {@code fromIndex},
* inclusive, to the index {@code toIndex}, exclusive. If
* {@code fromIndex == toIndex}, the range to be sorted is empty.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(long[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(long[]) Arrays.sort} method. The algorithm requires a working
* space no greater than the size of the specified range of the original
* array. The {@link ForkJoinPool#commonPool() ForkJoin common pool} is
* used to execute any parallel tasks.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*
* @since 1.8
*/
public static void parallelSort(long[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
int n = toIndex - fromIndex, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJLong.Sorter
(null, a, new long[n], fromIndex, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified array into ascending numerical order.
*
* <p>The {@code <} relation does not provide a total order on all float
* values: {@code -0.0f == 0.0f} is {@code true} and a {@code Float.NaN}
* value compares neither less than, greater than, nor equal to any value,
* even itself. This method uses the total order imposed by the method
* {@link Float#compareTo}: {@code -0.0f} is treated as less than value
* {@code 0.0f} and {@code Float.NaN} is considered greater than any
* other value and all {@code Float.NaN} values are considered equal.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(float[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(float[]) Arrays.sort} method. The algorithm requires a
* working space no greater than the size of the original array. The
* {@link ForkJoinPool#commonPool() ForkJoin common pool} is used to
* execute any parallel tasks.
*
* @param a the array to be sorted
*
* @since 1.8
*/
public static void parallelSort(float[] a) {
int n = a.length, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, 0, n - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJFloat.Sorter
(null, a, new float[n], 0, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified range of the array into ascending numerical order.
* The range to be sorted extends from the index {@code fromIndex},
* inclusive, to the index {@code toIndex}, exclusive. If
* {@code fromIndex == toIndex}, the range to be sorted is empty.
*
* <p>The {@code <} relation does not provide a total order on all float
* values: {@code -0.0f == 0.0f} is {@code true} and a {@code Float.NaN}
* value compares neither less than, greater than, nor equal to any value,
* even itself. This method uses the total order imposed by the method
* {@link Float#compareTo}: {@code -0.0f} is treated as less than value
* {@code 0.0f} and {@code Float.NaN} is considered greater than any
* other value and all {@code Float.NaN} values are considered equal.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(float[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(float[]) Arrays.sort} method. The algorithm requires a working
* space no greater than the size of the specified range of the original
* array. The {@link ForkJoinPool#commonPool() ForkJoin common pool} is
* used to execute any parallel tasks.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*
* @since 1.8
*/
public static void parallelSort(float[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
int n = toIndex - fromIndex, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJFloat.Sorter
(null, a, new float[n], fromIndex, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified array into ascending numerical order.
*
* <p>The {@code <} relation does not provide a total order on all double
* values: {@code -0.0d == 0.0d} is {@code true} and a {@code Double.NaN}
* value compares neither less than, greater than, nor equal to any value,
* even itself. This method uses the total order imposed by the method
* {@link Double#compareTo}: {@code -0.0d} is treated as less than value
* {@code 0.0d} and {@code Double.NaN} is considered greater than any
* other value and all {@code Double.NaN} values are considered equal.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(double[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(double[]) Arrays.sort} method. The algorithm requires a
* working space no greater than the size of the original array. The
* {@link ForkJoinPool#commonPool() ForkJoin common pool} is used to
* execute any parallel tasks.
*
* @param a the array to be sorted
*
* @since 1.8
*/
public static void parallelSort(double[] a) {
int n = a.length, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, 0, n - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJDouble.Sorter
(null, a, new double[n], 0, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified range of the array into ascending numerical order.
* The range to be sorted extends from the index {@code fromIndex},
* inclusive, to the index {@code toIndex}, exclusive. If
* {@code fromIndex == toIndex}, the range to be sorted is empty.
*
* <p>The {@code <} relation does not provide a total order on all double
* values: {@code -0.0d == 0.0d} is {@code true} and a {@code Double.NaN}
* value compares neither less than, greater than, nor equal to any value,
* even itself. This method uses the total order imposed by the method
* {@link Double#compareTo}: {@code -0.0d} is treated as less than value
* {@code 0.0d} and {@code Double.NaN} is considered greater than any
* other value and all {@code Double.NaN} values are considered equal.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(double[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(double[]) Arrays.sort} method. The algorithm requires a working
* space no greater than the size of the specified range of the original
* array. The {@link ForkJoinPool#commonPool() ForkJoin common pool} is
* used to execute any parallel tasks.
*
* @param a the array to be sorted
* @param fromIndex the index of the first element, inclusive, to be sorted
* @param toIndex the index of the last element, exclusive, to be sorted
*
* @throws IllegalArgumentException if {@code fromIndex > toIndex}
* @throws ArrayIndexOutOfBoundsException
* if {@code fromIndex < 0} or {@code toIndex > a.length}
*
* @since 1.8
*/
public static void parallelSort(double[] a, int fromIndex, int toIndex) {
rangeCheck(a.length, fromIndex, toIndex);
int n = toIndex - fromIndex, p, g;
if (n <= MIN_ARRAY_SORT_GRAN ||
(p = ForkJoinPool.getCommonPoolParallelism()) == 1)
DualPivotQuicksort.sort(a, fromIndex, toIndex - 1, null, 0, 0);
else
new ArraysParallelSortHelpers.FJDouble.Sorter
(null, a, new double[n], fromIndex, n, 0,
((g = n / (p << 2)) <= MIN_ARRAY_SORT_GRAN) ?
MIN_ARRAY_SORT_GRAN : g).invoke();
}
/**
* Sorts the specified array of objects into ascending order, according
* to the {@linkplain Comparable natural ordering} of its elements.
* All elements in the array must implement the {@link Comparable}
* interface. Furthermore, all elements in the array must be
* <i>mutually comparable</i> (that is, {@code e1.compareTo(e2)} must
* not throw a {@code ClassCastException} for any elements {@code e1}
* and {@code e2} in the array).
*
* <p>This sort is guaranteed to be <i>stable</i>: equal elements will
* not be reordered as a result of the sort.
*
* @implNote The sorting algorithm is a parallel sort-merge that breaks the
* array into sub-arrays that are themselves sorted and then merged. When
* the sub-array length reaches a minimum granularity, the sub-array is
* sorted using the appropriate {@link Arrays#sort(Object[]) Arrays.sort}
* method. If the length of the specified array is less than the minimum
* granularity, then it is sorted using the appropriate {@link
* Arrays#sort(Object[]) Arrays.sort} method. The algorithm requires a
* working space no greater than the size of the original array. The
* {@link ForkJoinPool#commonPool() ForkJoin common pool} is used to
* execute any parallel tasks.
*
* @param <T> the class of the objects to be sorted
* @param a the array to be sorted
*
* @throws ClassCastException if the array contains elements that are not
* <i>mutually comparable</i> (for example, strings and integers)
* @throws IllegalArgumentException (optional) if the natural
* ordering of the array elements is found to violate the
* {@link Comparable} contract
*
* @since 1.8
*/
@SuppressWarnings("unchecked")
public static <T extends Comparable<? super T>> void parallelSort(T[] a) {
int n = a.length, p, g;