/*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/licenses/publicdomain
*/
package extra166y;
import jsr166y.*;
import static extra166y.Ops.*;
import java.util.*;
import java.util.concurrent.atomic.*;
import java.lang.reflect.Array;
/**
* An array supporting parallel operations.
*
* A ParallelArray maintains a {@link ForkJoinPool} and an
* array in order to provide parallel aggregate operations. The main
* operations are to apply some procedure to each element, to
* map each element to a new element, to replace
* each element, to select a subset of elements based on
* matching a predicate or ranges of indices, and to reduce
* all elements into a single value such as a sum.
*
*
A ParallelArray is constructed by allocating, using, or copying
* an array, using one of the static factory methods {@link #create},
* {@link #createEmpty}, {@link #createUsingHandoff} and {@link
* #createFromCopy}. Upon construction, the encapsulated array managed
* by the ParallelArray must not be shared between threads without
* external synchronization. In particular, as is the case with any
* array, access by another thread of an element of a ParallelArray
* while another operation is in progress has undefined effects.
*
*
The ForkJoinPool used to construct a ParallelArray can be
* shared safely by other threads (and used in other
* ParallelArrays). To avoid the overhead associated with creating
* multiple executors, it is often a good idea to use the {@link
* #defaultExecutor()} across all ParallelArrays. However, you might
* choose to use different ones for the sake of controlling processor
* usage, isolating faults, and/or ensuring progress.
*
*
A ParallelArray is not a List. It relies on random access across
* array elements to support efficient parallel operations. However,
* a ParallelArray can be viewed and manipulated as a List, via method
* {@link ParallelArray#asList}. The asList view allows
* incremental insertion and modification of elements while setting up
* a ParallelArray, generally before using it for parallel
* operations. Similarly, the list view may be useful when accessing
* the results of computations in sequential contexts. A
* ParallelArray may also be created using the elements of any other
* Collection, by constructing from the array returned by the
* Collection's toArray method. The effects of mutative
* asList operations may also be achieved directly using
* method {@link #setLimit} along with element-by-element access
* methods {@link #get} and {@link #set}.
*
*
While ParallelArrays can be based on any kind of an object
* array, including "boxed" types such as Long, parallel operations on
* scalar "unboxed" type are likely to be substantially more
* efficient. For this reason, classes {@link ParallelLongArray} and
* {@link ParallelDoubleArray} are also supplied, and designed to
* smoothly interoperate with ParallelArrays. You should also use a
* ParallelLongArray for processing other integral scalar data
* (int, short, etc). And similarly use a
* ParallelDoubleArray for float data. (Further
* specializations for these other types would add clutter without
* significantly improving performance beyond that of the Long and
* Double versions.)
*
*
Most usages of ParallelArray involve sets of operations prefixed
* with range bounds, filters, and mappings (including mappings that
* combine elements from other ParallelArrays), using
* withBounds, withFilter, and withMapping,
* respectively. For example,
* aParallelArray.withFilter(aPredicate).all() creates a new
* ParallelArray containing only those elements matching the
* predicate. And for ParallelLongArrays a, b, and c,
* a.withMapping(CommonOps.longAdder(),b).withMapping(CommonOps.longAdder(),c).min()
* returns the minimum value of a[i]+b[i]+c[i] for all i. As
* illustrated below, a mapping often represents accessing
* some field or invoking some method of an element. These versions
* are typically more efficient than performing selections, then
* mappings, then other operations in multiple (parallel) steps. The
* basic ideas and usages of filtering and mapping are similar to
* those in database query systems such as SQL, but take a more
* restrictive form. Series of filter and mapping prefixes may each
* be cascaded, but all filter prefixes must precede all mapping
* prefixes, to ensure efficient execution in a single parallel step.
* In cases of combined mapping expressions, this rule is only
* dynamically enforced. For example, pa.withMapping(op,
* pb.withFilter(f)) will compile but throw an exception upon
* execution because the filter precedes the mapping.
*
*
While series of filters and mappings are allowed, it is
* usually more efficient to combine them into single filters or
* mappings when possible. For example
* pa.withMapping(addOne).withMapping(addOne) is generally
* less efficient than pa.withMapping(addTwo). Methods
* withIndexedFilter and withIndexedMapping may be
* useful when combining such expressions.
*
*
This class includes some reductions, such as min, that
* are commonly useful for most element types, as well as a combined
* version, summary, that computes all of them in a single
* parallel step, which is normally more efficient than computing each
* in turn.
*
*
The methods in this class are designed to perform efficiently
* with both large and small pools, even with single-thread pools on
* uniprocessors. However, there is some overhead in parallelizing
* operations, so short computations on small arrays might not execute
* faster than sequential versions, and might even be slower.
*
*
Sample usages.
*
* The main difference between programming with plain arrays and
* programming with aggregates is that you must separately define each
* of the component functions on elements. For example, the following
* returns the maximum Grade Point Average across all senior students,
* given a (fictional) Student class:
*
*
* import static Ops.*;
* class StudentStatistics {
* ParallelArray<Student> students = ...
* // ...
* public double getMaxSeniorGpa() {
* return students.withFilter(isSenior).withMapping(gpaField).max();
* }
*
* // helpers:
* static final class IsSenior implements Predicate<Student> {
* public boolean op(Student s) { return s.credits > 90; }
* }
* static final IsSenior isSenior = new IsSenior();
* static final class GpaField implements ObjectToDouble<Student> {
* public double op(Student s) { return s.gpa; }
* }
* static final GpaField gpaField = new GpaField();
* }
*
*
*/
public class ParallelArray extends AbstractParallelAnyArray.OUPap implements Iterable {
/*
* See classes PAS and AbstractParallelAnyArray for most of the underlying parallel execution
* code and explanation.
*/
/**
* Returns a common default executor for use in ParallelArrays.
* This executor arranges enough parallelism to use most, but not
* necessarily all, of the available processors on this system.
* @return the executor
*/
public static ForkJoinPool defaultExecutor() {
return PAS.defaultExecutor();
}
/** Lazily constructed list view */
AsList listView;
/**
* Constructor for use by subclasses to create a new ParallelArray
* using the given executor, and initially using the supplied
* array, with effective size bound by the given limit. This
* constructor is designed to enable extensions via
* subclassing. To create a ParallelArray, use {@link #create},
* {@link #createEmpty}, {@link #createUsingHandoff} or {@link
* #createFromCopy}.
* @param executor the executor
* @param array the array
* @param limit the upper bound limit
*/
protected ParallelArray(ForkJoinPool executor, T[] array, int limit) {
super(executor, 0, limit, array);
if (executor == null || array == null)
throw new NullPointerException();
if (limit < 0 || limit > array.length)
throw new IllegalArgumentException();
}
/**
* Trusted internal version of protected constructor.
*/
ParallelArray(ForkJoinPool executor, T[] array) {
super(executor, 0, array.length, array);
}
/**
* Creates a new ParallelArray using the given executor and
* an array of the given size constructed using the
* indicated base element type.
* @param size the array size
* @param elementType the type of the elements
* @param executor the executor
*/
public static ParallelArray create
(int size, Class elementType,
ForkJoinPool executor) {
T[] array = (T[])Array.newInstance(elementType, size);
return new ParallelArray(executor, array, size);
}
/**
* Creates a new ParallelArray initially using the given array and
* executor. In general, the handed off array should not be used
* for other purposes once constructing this ParallelArray. The
* given array may be internally replaced by another array in the
* course of methods that add or remove elements.
* @param handoff the array
* @param executor the executor
*/
public static ParallelArray createUsingHandoff
(T[] handoff, ForkJoinPool executor) {
return new ParallelArray(executor, handoff, handoff.length);
}
/**
* Creates a new ParallelArray using the given executor and
* initially holding copies of the given
* source elements.
* @param source the source of initial elements
* @param executor the executor
*/
public static ParallelArray createFromCopy
(T[] source, ForkJoinPool executor) {
// For now, avoid copyOf so people can compile with Java5
int size = source.length;
T[] array = (T[])Array.newInstance
(source.getClass().getComponentType(), size);
System.arraycopy(source, 0, array, 0, size);
return new ParallelArray(executor, array, size);
}
/**
* Creates a new ParallelArray using an array of the given size,
* initially holding copies of the given source truncated or
* padded with nulls to obtain the specified length.
* @param source the source of initial elements
* @param size the array size
* @param executor the executor
*/
public static ParallelArray createFromCopy
(int size, T[] source, ForkJoinPool executor) {
// For now, avoid copyOf so people can compile with Java5
T[] array = (T[])Array.newInstance
(source.getClass().getComponentType(), size);
System.arraycopy(source, 0, array, 0,
Math.min(source.length, size));
return new ParallelArray(executor, array, size);
}
/**
* Creates a new ParallelArray using the given executor and an
* array of the given size constructed using the indicated base
* element type, but with an initial effective size of zero,
* enabling incremental insertion via {@link ParallelArray#asList}
* operations.
* @param size the array size
* @param elementType the type of the elements
* @param executor the executor
*/
public static ParallelArray createEmpty
(int size, Class elementType,
ForkJoinPool executor) {
T[] array = (T[])Array.newInstance(elementType, size);
return new ParallelArray(executor, array, 0);
}
/**
* Summary statistics for a possibly bounded, filtered, and/or
* mapped ParallelArray.
*/
public static interface SummaryStatistics {
/** Return the number of elements */
public int size();
/** Return the minimum element, or null if empty */
public T min();
/** Return the maximum element, or null if empty */
public T max();
/** Return the index of the minimum element, or -1 if empty */
public int indexOfMin();
/** Return the index of the maximum element, or -1 if empty */
public int indexOfMax();
}
/**
* Returns the executor used for computations
* @return the executor
*/
public ForkJoinPool getExecutor() { return ex; }
/**
* Applies the given procedure to elements
* @param procedure the procedure
*/
public void apply(Procedure procedure) {
super.apply(procedure);
}
/**
* Returns reduction of elements
* @param reducer the reducer
* @param base the result for an empty array
* @return reduction
*/
public T reduce(Reducer reducer, T base) {
return super.reduce(reducer, base);
}
/**
* Returns a new ParallelArray holding all elements
* @return a new ParallelArray holding all elements
*/
public ParallelArray all() {
return super.all();
}
/**
* Returns a new ParallelArray with the given element type holding
* all elements
* @param elementType the type of the elements
* @return a new ParallelArray holding all elements
*/
public ParallelArray all(Class elementType) {
return super.all(elementType);
}
/**
* Replaces elements with the results of applying the given transform
* to their current values.
* @param op the op
* @return this (to simplify use in expressions)
*/
public ParallelArray replaceWithMapping
(Op op) {
super.replaceWithMapping(op);
return this;
}
/**
* Replaces elements with the results of applying the given
* mapping to their indices.
* @param op the op
* @return this (to simplify use in expressions)
*/
public ParallelArray replaceWithMappedIndex
(IntToObject op) {
super.replaceWithMappedIndex(op);
return this;
}
/**
* Replaces elements with the results of applying the given
* mapping to each index and current element value
* @param op the op
* @return this (to simplify use in expressions)
*/
public ParallelArray replaceWithMappedIndex
(IntAndObjectToObject op) {
super.replaceWithMappedIndex(op);
return this;
}
/**
* Replaces elements with the results of applying the given
* generator.
* @param generator the generator
* @return this (to simplify use in expressions)
*/
public ParallelArray replaceWithGeneratedValue
(Generator generator) {
super.replaceWithGeneratedValue(generator);
return this;
}
/**
* Replaces elements with the given value.
* @param value the value
* @return this (to simplify use in expressions)
*/
public ParallelArray replaceWithValue(T value) {
super.replaceWithValue(value);
return this;
}
/**
* Replaces elements with results of applying
* op(thisElement, otherElement)
* @param other the other array
* @param combiner the combiner
* @return this (to simplify use in expressions)
*/
public ParallelArray replaceWithMapping
(BinaryOp combiner,
ParallelArrayWithMapping other) {
super.replaceWithMapping(combiner, other);
return this;
}
/**
* Replaces elements with results of applying
* op(thisElement, otherElement)
* @param other the other array
* @param combiner the combiner
* @return this (to simplify use in expressions)
*/
public ParallelArray replaceWithMapping
(BinaryOp combiner, T[] other) {
super.replaceWithMapping(combiner, other);
return this;
}
/**
* Returns the index of some element equal to given target,
* or -1 if not present
* @param target the element to search for
* @return the index or -1 if not present
*/
public int indexOf(T target) {
return super.indexOf(target);
}
/**
* Assuming this array is sorted, returns the index of an element
* equal to given target, or -1 if not present. If the array
* is not sorted, the results are undefined.
* @param target the element to search for
* @return the index or -1 if not present
*/
public int binarySearch(T target) {
return super.binarySearch(target);
}
/**
* Assuming this array is sorted with respect to the given
* comparator, returns the index of an element equal to given
* target, or -1 if not present. If the array is not sorted, the
* results are undefined.
* @param target the element to search for
* @param comparator the comparator
* @return the index or -1 if not present
*/
public int binarySearch(T target, Comparator comparator) {
return super.binarySearch(target, comparator);
}
/**
* Returns summary statistics, using the given comparator
* to locate minimum and maximum elements.
* @param comparator the comparator to use for
* locating minimum and maximum elements
* @return the summary.
*/
public ParallelArray.SummaryStatistics summary
(Comparator comparator) {
return super.summary(comparator);
}
/**
* Returns summary statistics, assuming that all elements are
* Comparables
* @return the summary.
*/
public ParallelArray.SummaryStatistics summary() {
return super.summary();
}
/**
* Returns the minimum element, or null if empty
* @param comparator the comparator
* @return minimum element, or null if empty
*/
public T min(Comparator comparator) {
return super.min(comparator);
}
/**
* Returns the minimum element, or null if empty,
* assuming that all elements are Comparables
* @return minimum element, or null if empty
* @throws ClassCastException if any element is not Comparable.
*/
public T min() {
return super.min();
}
/**
* Returns the maximum element, or null if empty
* @param comparator the comparator
* @return maximum element, or null if empty
*/
public T max(Comparator comparator) {
return super.max(comparator);
}
/**
* Returns the maximum element, or null if empty
* assuming that all elements are Comparables
* @return maximum element, or null if empty
* @throws ClassCastException if any element is not Comparable.
*/
public T max() {
return super.max();
}
/**
* Replaces each element with the running cumulation of applying
* the given reducer. For example, if the contents are the numbers
* 1, 2, 3, and the reducer operation adds numbers, then
* after invocation of this method, the contents would be 1,
* 3, 6 (that is, 1, 1+2, 1+2+3);
* @param reducer the reducer
* @param base the result for an empty array
* @return this (to simplify use in expressions)
*/
public ParallelArray cumulate(Reducer reducer, T base) {
super.cumulate(reducer, base);
return this;
}
/**
* Replaces each element with the cumulation of applying the given
* reducer to all previous values, and returns the total
* reduction. For example, if the contents are the numbers 1,
* 2, 3, and the reducer operation adds numbers, then after
* invocation of this method, the contents would be 0, 1,
* 3 (that is, 0, 0+1, 0+1+2, and the return value
* would be 6 (that is, 1+2+3);
* @param reducer the reducer
* @param base the result for an empty array
* @return the total reduction
*/
public T precumulate(Reducer reducer, T base) {
return (T)(super.precumulate(reducer, base));
}
/**
* Sorts the array. Unlike Arrays.sort, this sort does
* not guarantee that elements with equal keys maintain their
* relative position in the array.
* @param comparator the comparator to use
* @return this (to simplify use in expressions)
*/
public ParallelArray sort(Comparator comparator) {
super.sort(comparator);
return this;
}
/**
* Sorts the array, assuming all elements are Comparable. Unlike
* Arrays.sort, this sort does not guarantee that elements
* with equal keys maintain their relative position in the array.
* @throws ClassCastException if any element is not Comparable.
* @return this (to simplify use in expressions)
*/
public ParallelArray sort() {
super.sort();
return this;
}
/**
* Returns a new ParallelArray containing only the non-null unique
* elements of this array (that is, without any duplicates), using
* each element's equals method to test for duplication.
* @return the new ParallelArray
*/
public ParallelArray allUniqueElements() {
return super.allUniqueElements();
}
/**
* Returns a new ParallelArray containing only the non-null unique
* elements of this array (that is, without any duplicates), using
* reference identity to test for duplication.
* @return the new ParallelArray
*/
public ParallelArray allNonidenticalElements() {
return super.allNonidenticalElements();
}
/**
* Removes from the array all elements for which the given
* selector holds.
* @param selector the selector
* @return this (to simplify use in expressions)
*/
public ParallelArray removeAll(Predicate selector) {
OFPap v = new OFPap(ex, 0, fence, array, selector);
PAS.FJRemoveAllDriver f = new PAS.FJRemoveAllDriver(v, 0, fence);
ex.invoke(f);
removeSlotsAt(f.offset, fence);
return this;
}
/**
* Returns true if all elements at the same relative positions
* of this and other array are equal.
* @param other the other array
* @return true if equal
*/
public boolean hasAllEqualElements
(ParallelArrayWithMapping other) {
return super.hasAllEqualElements(other);
}
/**
* Returns true if all elements at the same relative positions
* of this and other array are identical.
* @param other the other array
* @return true if equal
*/
public boolean hasAllIdenticalElements
(ParallelArrayWithMapping other) {
return super.hasAllIdenticalElements(other);
}
/**
* Removes consecutive elements that are equal (or null),
* shifting others leftward, and possibly decreasing size. This
* method may be used after sorting to ensure that this
* ParallelArray contains a set of unique elements.
* @return this (to simplify use in expressions)
*/
public ParallelArray removeConsecutiveDuplicates() {
// Sequential implementation for now
int k = 0;
int n = fence;
Object[] arr = this.array;
Object last = null;
for (int i = k; i < n; ++i) {
Object x = arr[i];
if (x != null && (last == null || !last.equals(x)))
arr[k++] = last = x;
}
removeSlotsAt(k, n);
return this;
}
/**
* Removes null elements, shifting others leftward, and possibly
* decreasing size.
* @return this (to simplify use in expressions)
*/
public ParallelArray removeNulls() {
// Sequential implementation for now
int k = 0;
int n = fence;
Object[] arr = this.array;
for (int i = k; i < n; ++i) {
Object x = arr[i];
if (x != null)
arr[k++] = x;
}
removeSlotsAt(k, n);
return this;
}
/**
* Equivalent to asList().addAll but specialized for array
* arguments and likely to be more efficient.
* @param other the elements to add
* @return this (to simplify use in expressions)
*/
public ParallelArray addAll(T[] other) {
int csize = other.length;
int end = fence;
insertSlotsAt(end, csize);
System.arraycopy(other, 0, array, end, csize);
return this;
}
/**
* Appends all (possibly bounded, filtered, or mapped) elements of
* the given ParallelArray, resizing and/or reallocating this
* array if necessary.
* @param other the elements to add
* @return this (to simplify use in expressions)
*/
public ParallelArray addAll
(ParallelArrayWithMapping other) {
int end = fence;
if (other.hasFilter()) {
PAS.FJOAppendAllDriver r = new PAS.FJOAppendAllDriver
(other, end, array);
ex.invoke(r);
array = (T[])(r.results);
fence = end + r.resultSize;
}
else {
int csize = other.size();
insertSlotsAt(end, csize);
if (other.hasMap())
ex.invoke(new PAS.FJOMap(other, other.origin, other.fence,
null, array, end - other.origin));
else
System.arraycopy(other.array, 0, array, end, csize);
}
return this;
}
/**
* Returns an operation prefix that causes a method to
* operate only on the elements of the array between
* firstIndex (inclusive) and upperBound (exclusive).
* @param firstIndex the lower bound (inclusive)
* @param upperBound the upper bound (exclusive)
* @return operation prefix
*/
public ParallelArrayWithBounds withBounds
(int firstIndex, int upperBound) {
return super.withBounds(firstIndex, upperBound);
}
/**
* Returns an operation prefix that causes a method to operate
* only on the elements of the array for which the given selector
* returns true
* @param selector the selector
* @return operation prefix
*/
public ParallelArrayWithFilter withFilter
(Predicate selector) {
return super.withFilter(selector);
}
/**
* Returns an operation prefix that causes a method to operate
* only on elements for which the given binary selector returns
* true
* @param selector the selector
* @return operation prefix
*/
public ParallelArrayWithFilter withFilter
(BinaryPredicate selector,
ParallelArrayWithMapping other) {
return super.withFilter(selector, other);
}
/**
* Returns an operation prefix that causes a method to operate
* only on elements for which the given indexed selector returns
* true
* @param selector the selector
* @return operation prefix
*/
public ParallelArrayWithFilter withIndexedFilter
(IntAndObjectPredicate selector) {
return super.withIndexedFilter(selector);
}
/**
* Returns an operation prefix that causes a method to operate
* on mapped elements of the array using the given op.
* @param op the op
* @return operation prefix
*/
public ParallelArrayWithMapping withMapping
(Op op) {
return super.withMapping(op);
}
/**
* Returns an operation prefix that causes a method to operate
* on mapped elements of the array using the given op.
* @param op the op
* @return operation prefix
*/
public ParallelArrayWithDoubleMapping withMapping
(ObjectToDouble op) {
return super.withMapping(op);
}
/**
* Returns an operation prefix that causes a method to operate
* on mapped elements of the array using the given op.
* @param op the op
* @return operation prefix
*/
public ParallelArrayWithLongMapping withMapping
(ObjectToLong op) {
return super.withMapping(op);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithMapping withMapping
(BinaryOp combiner,
ParallelArrayWithMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithMapping withMapping
(ObjectAndDoubleToObject combiner,
ParallelDoubleArrayWithDoubleMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithMapping withMapping
(ObjectAndLongToObject combiner,
ParallelLongArrayWithLongMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithDoubleMapping withMapping
(ObjectAndObjectToDouble combiner,
ParallelArrayWithMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithDoubleMapping withMapping
(ObjectAndDoubleToDouble combiner,
ParallelDoubleArrayWithDoubleMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithDoubleMapping withMapping
(ObjectAndLongToDouble combiner,
ParallelLongArrayWithLongMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithLongMapping withMapping
(ObjectAndObjectToLong combiner,
ParallelArrayWithMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithLongMapping withMapping
(ObjectAndDoubleToLong combiner,
ParallelDoubleArrayWithDoubleMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate
* on binary mappings of this array and the other array.
* @param combiner the combiner
* @param other the other array
* @return operation prefix
* @throws IllegalArgumentException if other array is a
* filtered view (all filters must precede all mappings).
*/
public ParallelArrayWithLongMapping withMapping
(ObjectAndLongToLong combiner,
ParallelLongArrayWithLongMapping other) {
return super.withMapping(combiner, other);
}
/**
* Returns an operation prefix that causes a method to operate on
* mappings of this array using the given mapper that accepts as
* arguments an element's current index and value, and produces a
* new value. Index-based mappings allow parallel computation of
* many common array operations. For example, you could create
* function to average the values at the same index of multiple
* arrays and apply it using this method.
* @param mapper the mapper
* @return operation prefix
*/
public ParallelArrayWithMapping withIndexedMapping
(IntAndObjectToObject mapper) {
return super.withIndexedMapping(mapper);
}
/**
* Returns an operation prefix that causes a method to operate on
* mappings of this array using the given mapper that accepts as
* arguments an element's current index and value, and produces a
* new value.
* @param mapper the mapper
* @return operation prefix
*/
public ParallelArrayWithDoubleMapping withIndexedMapping
(IntAndObjectToDouble mapper) {
return super.withIndexedMapping(mapper);
}
/**
* Returns an operation prefix that causes a method to operate on
* mappings of this array using the given mapper that accepts as
* arguments an element's current index and value, and produces a
* new value.
* @param mapper the mapper
* @return operation prefix
*/
public ParallelArrayWithLongMapping withIndexedMapping
(IntAndObjectToLong mapper) {
return super.withIndexedMapping(mapper);
}
/**
* Returns an iterator stepping through each element of the array
* up to the current limit. This iterator does not
* support the remove operation. However, a full
* ListIterator supporting add, remove, and set
* operations is available via {@link #asList}.
* @return an iterator stepping through each element.
*/
public Iterator iterator() {
return new ParallelArrayIterator(array, fence);
}
static final class ParallelArrayIterator implements Iterator {
int cursor;
final T[] arr;
final int hi;
ParallelArrayIterator(T[] a, int limit) { arr = a; hi = limit; }
public boolean hasNext() { return cursor < hi; }
public T next() {
if (cursor >= hi)
throw new NoSuchElementException();
return arr[cursor++];
}
public void remove() {
throw new UnsupportedOperationException();
}
}
// List support
/**
* Returns a view of this ParallelArray as a List. This List has
* the same structural and performance characteristics as {@link
* ArrayList}, and may be used to modify, replace or extend the
* bounds of the array underlying this ParallelArray. The methods
* supported by this list view are not in general
* implemented as parallel operations. This list is also not
* itself thread-safe. In particular, performing list updates
* while other parallel operations are in progress has undefined
* (and surely undesired) effects.
* @return a list view
*/
public List asList() {
AsList lv = listView;
if (lv == null)
listView = lv = new AsList();
return lv;
}
/**
* Returns the effective size of the underlying array. The
* effective size is the current limit, if used (see {@link
* #setLimit}), or the length of the array otherwise.
* @return the effective size of array
*/
public int size() { return fence; }
/**
* Returns the element of the array at the given index
* @param i the index
* @return the element of the array at the given index
*/
public T get(int i) { return array[i]; }
/**
* Sets the element of the array at the given index to the given value
* @param i the index
* @param x the value
*/
public void set(int i, T x) { array[i] = x; }
/**
* Returns the underlying array used for computations
* @return the array
*/
public T[] getArray() { return array; }
/**
* Equivalent to asList().toString()
* @return a string representation
*/
public String toString() {
return asList().toString();
}
/**
* Ensures that the underlying array can be accessed up to the
* given upper bound, reallocating and copying the underlying
* array to expand if necessary. Or, if the given limit is less
* than the length of the underlying array, causes computations to
* ignore elements past the given limit.
* @param newLimit the new upper bound
* @throws IllegalArgumentException if newLimit less than zero.
*/
public final void setLimit(int newLimit) {
if (newLimit < 0)
throw new IllegalArgumentException();
int cap = array.length;
if (newLimit > cap)
resizeArray(newLimit);
fence = newLimit;
}
final void replaceElementsWith(T[] a) {
System.arraycopy(a, 0, array, 0, a.length);
fence = a.length;
}
final void resizeArray(int newCap) {
int cap = array.length;
if (newCap > cap) {
Class elementType = array.getClass().getComponentType();
T[] a =(T[])Array.newInstance(elementType, newCap);
System.arraycopy(array, 0, a, 0, cap);
array = a;
}
}
final void insertElementAt(int index, T e) {
int hi = fence++;
if (hi >= array.length)
resizeArray((hi * 3)/2 + 1);
if (hi > index)
System.arraycopy(array, index, array, index+1, hi - index);
array[index] = e;
}
final void appendElement(T e) {
int hi = fence++;
if (hi >= array.length)
resizeArray((hi * 3)/2 + 1);
array[hi] = e;
}
/**
* Make len slots available at index
*/
final void insertSlotsAt(int index, int len) {
if (len <= 0)
return;
int cap = array.length;
int newSize = fence + len;
if (cap < newSize) {
cap = (cap * 3)/2 + 1;
if (cap < newSize)
cap = newSize;
resizeArray(cap);
}
if (index < fence)
System.arraycopy(array, index, array, index + len, fence - index);
fence = newSize;
}
final void removeSlotAt(int index) {
System.arraycopy(array, index + 1, array, index, fence - index - 1);
array[--fence] = null;
}
final void removeSlotsAt(int fromIndex, int toIndex) {
if (fromIndex < toIndex) {
int size = fence;
System.arraycopy(array, toIndex, array, fromIndex, size - toIndex);
int newSize = size - (toIndex - fromIndex);
fence = newSize;
while (size > newSize)
array[--size] = null;
}
}
final int seqIndexOf(Object target) {
T[] arr = array;
int end = fence;
if (target == null) {
for (int i = 0; i < end; i++)
if (arr[i] == null)
return i;
} else {
for (int i = 0; i < end; i++)
if (target.equals(arr[i]))
return i;
}
return -1;
}
final int seqLastIndexOf(Object target) {
T[] arr = array;
int last = fence - 1;
if (target == null) {
for (int i = last; i >= 0; i--)
if (arr[i] == null)
return i;
} else {
for (int i = last; i >= 0; i--)
if (target.equals(arr[i]))
return i;
}
return -1;
}
final class ListIter implements ListIterator {
int cursor;
int lastRet;
T[] arr; // cache array and bound
int hi;
ListIter(int lo) {
this.cursor = lo;
this.lastRet = -1;
this.arr = ParallelArray.this.array;
this.hi = ParallelArray.this.fence;
}
public boolean hasNext() {
return cursor < hi;
}
public T next() {
int i = cursor;
if (i < 0 || i >= hi)
throw new NoSuchElementException();
T next = arr[i];
lastRet = i;
cursor = i + 1;
return next;
}
public void remove() {
int k = lastRet;
if (k < 0)
throw new IllegalStateException();
ParallelArray.this.removeSlotAt(k);
hi = ParallelArray.this.fence;
if (lastRet < cursor)
cursor--;
lastRet = -1;
}
public boolean hasPrevious() {
return cursor > 0;
}
public T previous() {
int i = cursor - 1;
if (i < 0 || i >= hi)
throw new NoSuchElementException();
T previous = arr[i];
lastRet = cursor = i;
return previous;
}
public int nextIndex() {
return cursor;
}
public int previousIndex() {
return cursor - 1;
}
public void set(T e) {
int i = lastRet;
if (i < 0 || i >= hi)
throw new NoSuchElementException();
arr[i] = e;
}
public void add(T e) {
int i = cursor;
ParallelArray.this.insertElementAt(i, e);
arr = ParallelArray.this.array;
hi = ParallelArray.this.fence;
lastRet = -1;
cursor = i + 1;
}
}
final class AsList extends AbstractList implements RandomAccess {
public T get(int i) {
if (i >= fence)
throw new IndexOutOfBoundsException();
return array[i];
}
public T set(int i, T x) {
if (i >= fence)
throw new IndexOutOfBoundsException();
T[] arr = array;
T t = arr[i];
arr[i] = x;
return t;
}
public boolean isEmpty() {
return fence == 0;
}
public int size() {
return fence;
}
public Iterator iterator() {
return new ListIter(0);
}
public ListIterator listIterator() {
return new ListIter(0);
}
public ListIterator listIterator(int index) {
if (index < 0 || index > fence)
throw new IndexOutOfBoundsException();
return new ListIter(index);
}
public boolean add(T e) {
appendElement(e);
return true;
}
public void add(int index, T e) {
if (index < 0 || index > fence)
throw new IndexOutOfBoundsException();
insertElementAt(index, e);
}
public boolean addAll(Collection c) {
int csize = c.size();
if (csize == 0)
return false;
int hi = fence;
setLimit(hi + csize);
T[] arr = array;
for (T e : c)
arr[hi++] = e;
return true;
}
public boolean addAll(int index, Collection c) {
if (index < 0 || index > fence)
throw new IndexOutOfBoundsException();
int csize = c.size();
if (csize == 0)
return false;
insertSlotsAt(index, csize);
T[] arr = array;
for (T e : c)
arr[index++] = e;
return true;
}
public void clear() {
T[] arr = array;
for (int i = 0; i < fence; ++i)
arr[i] = null;
fence = 0;
}
public boolean remove(Object o) {
int idx = seqIndexOf(o);
if (idx < 0)
return false;
removeSlotAt(idx);
return true;
}
public T remove(int index) {
T oldValue = get(index);
removeSlotAt(index);
return oldValue;
}
public void removeRange(int fromIndex, int toIndex) {
removeSlotsAt(fromIndex, toIndex);
}
public boolean contains(Object o) {
return seqIndexOf(o) >= 0;
}
public int indexOf(Object o) {
return seqIndexOf(o);
}
public int lastIndexOf(Object o) {
return seqLastIndexOf(o);
}
public Object[] toArray() {
int len = fence;
Object[] a = new Object[len];
System.arraycopy(array, 0, a, 0, len);
return a;
}
public V[] toArray(V a[]) {
int len = fence;
if (a.length < len) {
Class elementType = a.getClass().getComponentType();
a =(V[])Array.newInstance(elementType, len);
}
System.arraycopy(array, 0, a, 0, len);
if (a.length > len)
a[len] = null;
return a;
}
}
}