kdelibs/kjs/array_instance.cpp
2014-11-13 01:04:59 +02:00

978 lines
32 KiB
C++

// -*- c-basic-offset: 2 -*-
/*
* This file is part of the KDE libraries
* Copyright (C) 1999-2000 Harri Porten (porten@kde.org)
* Copyright (C) 2003, 2007, 2008 Apple Inc. All rights reserved.
* Copyright (C) 2003 Peter Kelly (pmk@post.com)
* Copyright (C) 2006 Alexey Proskuryakov (ap@nypop.com)
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*
*/
#include <config-kjs.h>
#include "array_instance.h"
#include "PropertyNameArray.h"
#include "JSVariableObject.h"
#include <wtf/Assertions.h>
#include <wtf/HashMap.h>
#include <algorithm>
#include <stdio.h>
using std::min;
using std::max;
namespace KJS {
struct ArrayEntity {
ArrayEntity()
: value(0),
attributes(0)
{
}
ArrayEntity(JSValue* jsVal, uint32_t attr)
: value(jsVal),
attributes(attr)
{
}
JSValue* value;
uint32_t attributes;
};
typedef HashMap<unsigned, ArrayEntity> SparseArrayValueMap;
struct ArrayStorage {
unsigned m_numValuesInVector;
SparseArrayValueMap* m_sparseValueMap;
ArrayEntity m_vector[1];
};
// (2^32)-1
static const unsigned maxArrayLength = 0xFFFFFFFFU;
// 0xFFFFFFFF is a bit weird -- is not an array index even though it's an integer
static const unsigned maxArrayIndex = 0xFFFFFFFEU;
// Our policy for when to use a vector and when to use a sparse map.
// For all array indices under sparseArrayCutoff, we always use a vector.
// When indices greater than sparseArrayCutoff are involved, we use a vector
// as long as it is 1/8 full. If more sparse than that, we use a map.
static const unsigned sparseArrayCutoff = 10000;
static const unsigned minDensityMultiplier = 8;
static const unsigned mergeSortCutoff = 10000;
const ClassInfo ArrayInstance::info = {"Array", 0, 0, 0};
static inline size_t storageSize(unsigned vectorLength)
{
return sizeof(ArrayStorage) - sizeof(ArrayEntity) + vectorLength * sizeof(ArrayEntity);
}
static inline unsigned increasedVectorLength(unsigned newLength)
{
return (newLength * 3 + 1) / 2;
}
static inline bool isDenseEnoughForVector(unsigned length, unsigned numValues)
{
return length / minDensityMultiplier <= numValues;
}
ArrayInstance::ArrayInstance(JSObject* prototype, unsigned initialLength)
: JSObject(prototype)
{
unsigned initialCapacity = min(initialLength, sparseArrayCutoff);
m_length = initialLength;
m_vectorLength = initialCapacity;
m_storage = static_cast<ArrayStorage*>(fastCalloc(storageSize(initialCapacity), 1));
m_lengthAttributes = DontDelete | DontEnum;
Collector::reportExtraMemoryCost(initialCapacity * sizeof(ArrayEntity));
}
ArrayInstance::ArrayInstance(JSObject* prototype, const List& list)
: JSObject(prototype)
{
unsigned length = list.size();
m_length = length;
m_vectorLength = length;
m_lengthAttributes = DontDelete | DontEnum;
ArrayStorage* storage = static_cast<ArrayStorage*>(fastMalloc(storageSize(length)));
storage->m_numValuesInVector = length;
storage->m_sparseValueMap = 0;
ListIterator it = list.begin();
for (unsigned i = 0; i < length; ++i) {
storage->m_vector[i].value = it++;
storage->m_vector[i].attributes = 0;
}
m_storage = storage;
// When the array is created non-empty, its cells are filled, so it's really no worse than
// a property map. Therefore don't report extra memory cost.
}
ArrayInstance::~ArrayInstance()
{
delete m_storage->m_sparseValueMap;
fastFree(m_storage);
}
JSValue* ArrayInstance::getItem(unsigned i) const
{
ASSERT(i <= maxArrayIndex);
ArrayEntity* ent = getArrayEntity(i);
if (ent)
return ent->value;
return jsUndefined();
}
JSValue* ArrayInstance::lengthGetter(ExecState*, JSObject*, const Identifier&, const PropertySlot& slot)
{
return jsNumber(static_cast<ArrayInstance*>(slot.slotBase())->m_length);
}
ALWAYS_INLINE bool ArrayInstance::inlineGetOwnPropertySlot(ExecState* exec, unsigned i, PropertySlot& slot)
{
if (i >= m_length) {
if (i > maxArrayIndex)
return getOwnPropertySlot(exec, Identifier::from(i), slot);
return false;
}
ArrayEntity* ent = getArrayEntity(i);
if (ent) {
if (ent->attributes & GetterSetter) {
GetterSetterImp *gs = static_cast<GetterSetterImp *>(ent->value);
JSObject *getterFunc = gs->getGetter();
if (getterFunc)
slot.setGetterSlot(this, getterFunc);
else
slot.setUndefined(this);
return true;
}
slot.setValueSlot(this, &ent->value);
return true;
}
return false;
}
ArrayEntity* ArrayInstance::getArrayEntity(unsigned int i) const
{
if (i >= m_length)
return 0;
ArrayStorage* storage = m_storage;
if (i < m_vectorLength) {
if (storage->m_vector[i].value)
return &storage->m_vector[i];
}
SparseArrayValueMap* map = storage->m_sparseValueMap;
if (map && i > 0 && i <= maxArrayIndex) {
SparseArrayValueMap::iterator it = map->find(i);
if (it != map->end()) {
return &it->second;
}
}
return 0;
}
bool ArrayInstance::getOwnPropertySlot(ExecState* exec, const Identifier& propertyName, PropertySlot& slot)
{
if (propertyName == exec->propertyNames().length) {
slot.setCustom(this, lengthGetter);
return true;
}
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex)
return inlineGetOwnPropertySlot(exec, i, slot);
return JSObject::getOwnPropertySlot(exec, propertyName, slot);
}
bool ArrayInstance::getOwnPropertySlot(ExecState* exec, unsigned i, PropertySlot& slot)
{
return inlineGetOwnPropertySlot(exec, i, slot);
}
// ECMA 15.4.5.1
void ArrayInstance::put(ExecState* exec, const Identifier& propertyName, JSValue* value, int attributes)
{
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex) {
put(exec, i, value, attributes);
return;
}
if (propertyName == exec->propertyNames().length) {
if (m_lengthAttributes & ReadOnly)
return;
unsigned newLength = value->toUInt32(exec);
if (value->toNumber(exec) != static_cast<double>(newLength)) {
throwError(exec, RangeError, "Invalid array length.");
return;
}
m_lengthAttributes = attributes;
setLength(newLength);
return;
}
JSObject::put(exec, propertyName, value, attributes);
}
void ArrayInstance::put(ExecState* exec, unsigned i, JSValue* value, int attributes)
{
ArrayEntity *ent = getArrayEntity(i);
if (ent) {
if (ent->attributes & ReadOnly)
return;
attributes |= ent->attributes;
JSValue* gs = ent->value;
if (gs && !gs->isUndefined()) {
if (ent->attributes & GetterSetter) {
JSObject *setterFunc = static_cast<GetterSetterImp *>(gs)->getSetter();
if (!setterFunc) {
if (false) //if strict is true
throwError(exec, TypeError, "setting a property that has only a getter");
return;
}
List args;
args.append(value);
setterFunc->call(exec, this, args);
return;
}
}
}
KJS::ArrayInstance::putDirect(i, value, attributes);
}
bool ArrayInstance::deleteProperty(ExecState* exec, const Identifier& propertyName)
{
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex)
return deleteProperty(exec, i);
if (propertyName == exec->propertyNames().length)
return false;
return JSObject::deleteProperty(exec, propertyName);
}
bool ArrayInstance::deleteProperty(ExecState* exec, unsigned i)
{
ArrayStorage* storage = m_storage;
if (i < m_vectorLength) {
ArrayEntity* ent = &storage->m_vector[i];
if (ent->value) {
if (ent->attributes & DontDelete)
return false;
JSValue*& valueSlot = ent->value;
bool hadValue = valueSlot;
valueSlot = 0;
storage->m_numValuesInVector -= hadValue;
ent->value = 0;
return hadValue;
}
}
if (SparseArrayValueMap* map = storage->m_sparseValueMap) {
SparseArrayValueMap::iterator it = map->find(i);
if (it != map->end()) {
if ((*it).second.attributes & DontDelete)
return false;
map->remove(it->first);
return true;
}
}
if (i > maxArrayIndex)
return JSObject::deleteProperty(exec, Identifier::from(i));
return true;
}
void ArrayInstance::getOwnPropertyNames(ExecState* exec, PropertyNameArray& propertyNames, PropertyMap::PropertyMode mode)
{
// FIXME: Filling PropertyNameArray with an identifier for every integer
// is incredibly inefficient for large arrays. We need a different approach.
ArrayStorage* storage = m_storage;
unsigned usedVectorLength = min(m_length, m_vectorLength);
for (unsigned i = 0; i < usedVectorLength; ++i) {
if (storage->m_vector[i].value &&
(!(storage->m_vector[i].attributes & DontEnum) ||
mode == PropertyMap::IncludeDontEnumProperties))
propertyNames.add(Identifier::from(i));
}
if (SparseArrayValueMap* map = storage->m_sparseValueMap) {
SparseArrayValueMap::iterator end = map->end();
for (SparseArrayValueMap::iterator it = map->begin(); it != end; ++it)
if (!((*it).second.attributes & DontEnum) ||
mode == PropertyMap::IncludeDontEnumProperties)
propertyNames.add(Identifier::from(it->first));
}
if (mode == PropertyMap::IncludeDontEnumProperties)
propertyNames.add(exec->propertyNames().length);
JSObject::getOwnPropertyNames(exec, propertyNames, mode);
}
bool ArrayInstance::getOwnPropertyDescriptor(ExecState* exec, const Identifier& propertyName, PropertyDescriptor& descriptor)
{
if (propertyName == exec->propertyNames().length) {
descriptor.setPropertyDescriptorValues(exec, jsNumber(m_length), m_lengthAttributes);
return true;
}
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex) {
ArrayEntity* ent = getArrayEntity(i);
if (ent) {
descriptor.setPropertyDescriptorValues(exec, ent->value, ent->attributes);
return true;
}
}
return JSObject::getOwnPropertyDescriptor(exec, propertyName, descriptor);
}
//ECMAScript Edition 5.1r6 - 15.4.5.1
bool ArrayInstance::defineOwnProperty(ExecState* exec, const Identifier& propertyName, PropertyDescriptor& desc, bool shouldThrow)
{
PropertyDescriptor oldLenDesc;
getOwnPropertyDescriptor(exec, exec->propertyNames().length, oldLenDesc);
unsigned int oldLen = oldLenDesc.value()->toUInt32(exec);
//4a
bool isArrayIndex;
unsigned index = propertyName.toArrayIndex(&isArrayIndex);
//Step 3
if (propertyName == exec->propertyNames().length) {
//a
if (!desc.value())
return JSObject::defineOwnProperty(exec, propertyName, desc, shouldThrow);
//b
PropertyDescriptor newLenDesc(desc);
//c
unsigned int newLen = desc.value()->toUInt32(exec);
//d
if (newLen != desc.value()->toNumber(exec) || desc.value()->toNumber(exec) > maxArrayLength) {
throwError(exec, RangeError, "Index out of range");
return false;
}
//e
newLenDesc.setValue(jsNumber(newLen));
//f
if (newLen >= oldLen)
return JSObject::defineOwnProperty(exec, propertyName, newLenDesc, shouldThrow);
//g
if (!oldLenDesc.writable()) {
if (shouldThrow)
throwError(exec, TypeError, "length is not writable");
return false;
}
//h
bool newWriteable;
if (!newLenDesc.writableSet() || newLenDesc.writable()) {
newWriteable = true;
} else { //i
if (anyItemHasAttribute(DontDelete))
newLenDesc.setWritable(false);
else
newLenDesc.setWritable(true);
newWriteable = false;
}
//j
bool succeeded = JSObject::defineOwnProperty(exec, propertyName, newLenDesc, shouldThrow);
//k
if (!succeeded) return false;
//l
while (newLen < oldLen) {
--oldLen;
bool deleteSucceeded = deleteProperty(exec, oldLen); // 3. argument should be false
if (!deleteSucceeded) {
newLenDesc.setValue(jsNumber(oldLen+1));
if (!newWriteable)
newLenDesc.setWritable(false);
JSObject::defineOwnProperty(exec, propertyName, newLenDesc, false);
if (shouldThrow)
throwError(exec, TypeError);
return false;
}
}
//m
if (!newWriteable) {
PropertyDescriptor writableDesc;
writableDesc.setWritable(false);
return JSObject::defineOwnProperty(exec, propertyName, writableDesc, false);
}
return true;
} else if (isArrayIndex) {//Step 4
//b
if (index >= oldLen && !oldLenDesc.writable()) {
if (shouldThrow)
throwError(exec, TypeError);
return false;
}
//c
bool succeeded = JSObject::defineOwnProperty(exec, propertyName, desc, false);
//d
if (!succeeded) {
if (shouldThrow)
throwError(exec, TypeError);
return false;
}
//e
if (index >= oldLen) {
oldLenDesc.setValue(jsNumber(index+1));
JSObject::defineOwnProperty(exec, exec->propertyNames().length, oldLenDesc, false);
}
return true;
}
return JSObject::defineOwnProperty(exec, propertyName, desc, shouldThrow);
}
bool ArrayInstance::getPropertyAttributes(const Identifier& propertyName, unsigned int& attributes) const
{
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex) {
ArrayEntity* ent = getArrayEntity(i);
if (ent) {
attributes = ent->attributes;
return true;
}
}
return KJS::JSObject::getPropertyAttributes(propertyName, attributes);
}
JSValue* ArrayInstance::getDirect(const Identifier& propertyName) const
{
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex) {
ArrayEntity* ent = getArrayEntity(i);
if (ent) {
if (ent->value)
return ent->value;
}
}
return KJS::JSObject::getDirect(propertyName);
}
void ArrayInstance::putDirect(unsigned i, JSValue* value, int attributes)
{
unsigned length = m_length;
if (i >= length) {
if (i > maxArrayIndex) {
KJS::JSObject::putDirect(Identifier::from(i), value, attributes);
return;
}
length = i + 1;
m_length = length;
}
ArrayStorage* storage = m_storage;
if (i < m_vectorLength) {
ArrayEntity* ent = &storage->m_vector[i];
if (!ent->value && !isExtensible())
return;
JSValue*& valueSlot = ent->value;
storage->m_numValuesInVector += !valueSlot;
valueSlot = value;
ent->attributes = attributes;
return;
}
if (!isExtensible())
return;
SparseArrayValueMap* map = storage->m_sparseValueMap;
if (i >= sparseArrayCutoff) {
// If the index is high, go to the map unless we're pretty dense.
if (!map) {
map = new SparseArrayValueMap;
storage->m_sparseValueMap = map;
// If we create a sparse map, we need to ensure that there is at least one spot
// in the vector map, however, since the sparse map can't put/get key 0.
// It's safe to do it here, since put(0) will always put it in the vector part,
// but we have to do it before a get(0) or it will crash
if (!m_vectorLength)
increaseVectorLength(1);
}
map->set(i, ArrayEntity(value, attributes));
return;
}
// note: an invariant here is that indeces < sparseArrayCutoff
// are always inside the vector portion.
// lowish indeces or high density -> we have decided that we'll put the new item into the vector.
// Fast case is when there is no sparse map, so we can increase the vector size without moving values from the sparse map.
if (!map || map->isEmpty()) {
increaseVectorLength(i + 1);
storage = m_storage;
++storage->m_numValuesInVector;
storage->m_vector[i].value = value;
storage->m_vector[i].attributes = attributes;
return;
}
// Decide just how large we want to make the vector to be.
unsigned newNumValuesInVector = storage->m_numValuesInVector + 1;
unsigned newVectorLength = increasedVectorLength(i + 1);
// First, count how much stuff we are guaranteed to move over, now
// that we've decided to at least include i in the vector.
for (unsigned j = max(m_vectorLength, sparseArrayCutoff); j < newVectorLength; ++j)
newNumValuesInVector += map->contains(j);
if (i >= sparseArrayCutoff)
newNumValuesInVector -= map->contains(i);
// Continue increasing the vector portion as long as the things in the map are dense enough
if (isDenseEnoughForVector(newVectorLength, newNumValuesInVector)) {
unsigned proposedNewNumValuesInVector = newNumValuesInVector;
while (true) {
unsigned proposedNewVectorLength = increasedVectorLength(newVectorLength + 1);
for (unsigned j = max(newVectorLength, sparseArrayCutoff); j < proposedNewVectorLength; ++j)
proposedNewNumValuesInVector += map->contains(j);
if (!isDenseEnoughForVector(proposedNewVectorLength, proposedNewNumValuesInVector))
break;
newVectorLength = proposedNewVectorLength;
newNumValuesInVector = proposedNewNumValuesInVector;
}
}
storage = static_cast<ArrayStorage*>(fastRealloc(storage, storageSize(newVectorLength)));
unsigned vectorLength = m_vectorLength;
// Special case: if we just added a single value, we don't have to scan the map
// to see what to remove from it
if (newNumValuesInVector == storage->m_numValuesInVector + 1) {
for (unsigned j = vectorLength; j < newVectorLength; ++j)
storage->m_vector[j].value = 0;
if (i > sparseArrayCutoff)
map->remove(i);
} else {
// Move over things from the map to the new array portion
for (unsigned j = vectorLength; j < max(vectorLength, sparseArrayCutoff); ++j)
storage->m_vector[j].value = 0;
for (unsigned j = max(vectorLength, sparseArrayCutoff); j < newVectorLength; ++j)
storage->m_vector[j] = map->take(j);
}
storage->m_vector[i].value = value;
storage->m_vector[i].attributes = attributes;
m_vectorLength = newVectorLength;
storage->m_numValuesInVector = newNumValuesInVector;
m_storage = storage;
}
void ArrayInstance::putDirect(const Identifier& propertyName, JSValue* value, int attr)
{
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex) {
KJS::ArrayInstance::putDirect(i, value, attr);
return;
}
KJS::JSObject::putDirect(propertyName, value, attr);
}
void ArrayInstance::putDirect(const Identifier& propertyName, int value, int attr)
{
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex) {
KJS::ArrayInstance::putDirect(i, jsNumber(value), attr);
return;
}
KJS::JSObject::putDirect(propertyName, jsNumber(value), attr);
}
void ArrayInstance::removeDirect(const Identifier& propertyName)
{
bool isArrayIndex;
unsigned i = propertyName.toArrayIndex(&isArrayIndex);
if (isArrayIndex) {
ArrayStorage* storage = m_storage;
if (i < m_vectorLength) {
ArrayEntity* ent = &storage->m_vector[i];
if (ent->value) {
JSValue*& valueSlot = ent->value;
bool hadValue = valueSlot;
valueSlot = 0;
storage->m_numValuesInVector -= hadValue;
ent->value = 0;
return;
}
}
if (SparseArrayValueMap* map = storage->m_sparseValueMap) {
SparseArrayValueMap::iterator it = map->find(i);
if (it != map->end()) {
map->remove(it->first);
return;
}
}
}
JSObject::removeDirect(Identifier::from(i));
}
void ArrayInstance::increaseVectorLength(unsigned newLength)
{
// This function leaves the array in an internally inconsistent state, because it does not move any values from sparse value map
// to the vector. Callers have to account for that, because they can do it more efficiently.
ArrayStorage* storage = m_storage;
unsigned vectorLength = m_vectorLength;
ASSERT(newLength > vectorLength);
unsigned newVectorLength = increasedVectorLength(newLength);
storage = static_cast<ArrayStorage*>(fastRealloc(storage, storageSize(newVectorLength)));
m_vectorLength = newVectorLength;
for (unsigned i = vectorLength; i < newVectorLength; ++i)
storage->m_vector[i].value = 0;
m_storage = storage;
}
void ArrayInstance::setLength(unsigned newLength)
{
ArrayStorage* storage = m_storage;
unsigned length = m_length;
unsigned newLenSet = newLength;
if (newLength < length) {
unsigned usedVectorLength = min(length, m_vectorLength);
if (usedVectorLength > 0) {
for (unsigned i = usedVectorLength-1; i >= newLength && i > 0; --i) {
ArrayEntity* ent = &storage->m_vector[i];
if (ent->value) {
if (ent->attributes & DontDelete) {
newLenSet = i+1;
break;
}
JSValue*& valueSlot = ent->value;
bool hadValue = valueSlot;
valueSlot = 0;
ent->value = 0;
storage->m_numValuesInVector -= hadValue;
}
}
}
if (SparseArrayValueMap* map = storage->m_sparseValueMap) {
SparseArrayValueMap copy = *map;
SparseArrayValueMap::iterator end = copy.end();
for (SparseArrayValueMap::iterator it = copy.begin(); it != end; ++it) {
if (it->first >= newLength) {
if (it->second.attributes & DontDelete) {
newLenSet = it->first + 1;
}
}
}
for (SparseArrayValueMap::iterator it = copy.begin(); it != end; ++it) {
if (it->first >= newLenSet) {
map->remove(it->first);
}
}
if (map->isEmpty()) {
delete map;
storage->m_sparseValueMap = 0;
}
}
}
m_length = newLenSet;
}
void ArrayInstance::mark()
{
JSObject::mark();
ArrayStorage* storage = m_storage;
unsigned usedVectorLength = min(m_length, m_vectorLength);
for (unsigned i = 0; i < usedVectorLength; ++i) {
ArrayEntity* ent = &storage->m_vector[i];
if (ent->value && !ent->value->marked())
ent->value->mark();
}
if (SparseArrayValueMap* map = storage->m_sparseValueMap) {
SparseArrayValueMap::iterator end = map->end();
for (SparseArrayValueMap::iterator it = map->begin(); it != end; ++it) {
ArrayEntity* ent = &it->second;
if (!ent->value->marked())
ent->value->mark();
}
}
}
static ExecState* execForCompareByStringForQSort;
static int compareByStringForQSort(const void* a, const void* b)
{
ExecState* exec = execForCompareByStringForQSort;
const ArrayEntity* va = static_cast<const ArrayEntity*>(a);
const ArrayEntity* vb = static_cast<const ArrayEntity*>(b);
ASSERT(va->value && !va->value->isUndefined());
ASSERT(vb->value && !vb->value->isUndefined());
return compare(va->value->toString(exec), vb->value->toString(exec));
}
void ArrayInstance::sort(ExecState* exec)
{
unsigned lengthNotIncludingUndefined = compactForSorting();
ExecState* oldExec = execForCompareByStringForQSort;
execForCompareByStringForQSort = exec;
#if HAVE(MERGESORT)
// Because mergesort usually does fewer compares, it is faster than qsort here.
// However, because it requires extra copies of the storage buffer, don't use it for very
// large arrays.
// FIXME: Since we sort by string value, a fast algorithm might be to convert all the
// values to string once up front, and then use a radix sort. That would be O(N) rather
// than O(N log N).
if (lengthNotIncludingUndefined < mergeSortCutoff) {
// During the sort, we could do a garbage collect, and it's important to still
// have references to every object in the array for ArrayInstance::mark.
// The mergesort algorithm does not guarantee this, so we sort a copy rather
// than the original.
size_t size = storageSize(m_vectorLength);
ArrayStorage* copy = static_cast<ArrayStorage*>(fastMalloc(size));
memcpy(copy, m_storage, size);
mergesort(copy->m_vector, lengthNotIncludingUndefined, sizeof(ArrayEntity), compareByStringForQSort);
fastFree(m_storage);
m_storage = copy;
execForCompareByStringForQSort = oldExec;
return;
}
#endif
qsort(m_storage->m_vector, lengthNotIncludingUndefined, sizeof(ArrayEntity), compareByStringForQSort);
execForCompareByStringForQSort = oldExec;
}
struct CompareWithCompareFunctionArguments {
CompareWithCompareFunctionArguments(ExecState *e, JSObject *cf)
: exec(e)
, compareFunction(cf)
, globalObject(e->dynamicInterpreter()->globalObject())
{
}
ExecState *exec;
JSObject *compareFunction;
List arguments;
JSObject *globalObject;
};
static CompareWithCompareFunctionArguments* compareWithCompareFunctionArguments;
static int compareWithCompareFunctionForQSort(const void* a, const void* b)
{
CompareWithCompareFunctionArguments *args = compareWithCompareFunctionArguments;
const ArrayEntity* va = static_cast<const ArrayEntity*>(a);
const ArrayEntity* vb = static_cast<const ArrayEntity*>(b);
ASSERT(va->value && !va->value->isUndefined());
ASSERT(vb->value && !vb->value->isUndefined());
args->arguments.clear();
args->arguments.append(va->value);
args->arguments.append(vb->value);
double compareResult = args->compareFunction->call
(args->exec, args->globalObject, args->arguments)->toNumber(args->exec);
return compareResult < 0 ? -1 : compareResult > 0 ? 1 : 0;
}
void ArrayInstance::sort(ExecState* exec, JSObject* compareFunction)
{
size_t lengthNotIncludingUndefined = compactForSorting();
CompareWithCompareFunctionArguments* oldArgs = compareWithCompareFunctionArguments;
CompareWithCompareFunctionArguments args(exec, compareFunction);
compareWithCompareFunctionArguments = &args;
#if HAVE(MERGESORT)
// Because mergesort usually does fewer compares, it is faster than qsort here.
// However, because it requires extra copies of the storage buffer, don't use it for very
// large arrays.
// FIXME: A tree sort using a perfectly balanced tree (e.g. an AVL tree) could do an even
// better job of minimizing compares.
if (lengthNotIncludingUndefined < mergeSortCutoff) {
// During the sort, we could do a garbage collect, and it's important to still
// have references to every object in the array for ArrayInstance::mark.
// The mergesort algorithm does not guarantee this, so we sort a copy rather
// than the original.
size_t size = storageSize(m_vectorLength);
ArrayStorage* copy = static_cast<ArrayStorage*>(fastMalloc(size));
memcpy(copy, m_storage, size);
mergesort(copy->m_vector, lengthNotIncludingUndefined, sizeof(ArrayEntity), compareWithCompareFunctionForQSort);
fastFree(m_storage);
m_storage = copy;
compareWithCompareFunctionArguments = oldArgs;
return;
}
#endif
qsort(m_storage->m_vector, lengthNotIncludingUndefined, sizeof(ArrayEntity), compareWithCompareFunctionForQSort);
compareWithCompareFunctionArguments = oldArgs;
}
unsigned ArrayInstance::compactForSorting()
{
ArrayStorage* storage = m_storage;
unsigned usedVectorLength = min(m_length, m_vectorLength);
unsigned numDefined = 0;
unsigned numUndefined = 0;
// This compacts normal values (e.g. not undefined) in a contiguous run
// at the beginning of the array, and then puts any set undefined values
// at the end
// count the first contiguous run of defined values in the vector store
for (; numDefined < usedVectorLength; ++numDefined) {
ArrayEntity* v = &storage->m_vector[numDefined];
if (!v->value || v->value->isUndefined())
break;
}
// compact the rest, counting along the way
for (unsigned i = numDefined; i < usedVectorLength; ++i) {
ArrayEntity v = storage->m_vector[i];
if (!v.value || v.value->isUndefined())
++numUndefined;
else
storage->m_vector[numDefined++] = storage->m_vector[i];
}
unsigned newUsedVectorLength = numDefined + numUndefined;
if (SparseArrayValueMap* map = storage->m_sparseValueMap) {
newUsedVectorLength += map->size();
if (newUsedVectorLength > m_vectorLength) {
increaseVectorLength(newUsedVectorLength);
storage = m_storage;
}
SparseArrayValueMap::iterator end = map->end();
for (SparseArrayValueMap::iterator it = map->begin(); it != end; ++it)
storage->m_vector[numDefined++] = it->second;
delete map;
storage->m_sparseValueMap = 0;
}
for (unsigned i = numDefined; i < newUsedVectorLength; ++i)
storage->m_vector[i].value = 0;
for (unsigned i = newUsedVectorLength; i < usedVectorLength; ++i)
storage->m_vector[i].value = 0;
return numDefined;
}
bool KJS::ArrayInstance::anyItemHasAttribute(unsigned int attributes) const
{
ArrayStorage* storage = m_storage;
unsigned usedVectorLength = min(m_length, m_vectorLength);
for (unsigned i = 0; i < usedVectorLength; ++i) {
if (storage->m_vector[i].value && storage->m_vector[i].attributes & attributes)
return true;
}
if (SparseArrayValueMap* map = storage->m_sparseValueMap) {
SparseArrayValueMap::iterator end = map->end();
for (SparseArrayValueMap::iterator it = map->begin(); it != end; ++it)
if ((*it).second.attributes & attributes)
return true;
}
return false;
}
}
// kate: indent-width 4; replace-tabs on; tab-width 4; space-indent on; hl c++;