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9dae56ea A |
1 | /* |
2 | * Copyright (C) 1999-2000 Harri Porten (porten@kde.org) | |
f9bf01c6 | 3 | * Copyright (C) 2003, 2007, 2008, 2009 Apple Inc. All rights reserved. |
9dae56ea A |
4 | * Copyright (C) 2003 Peter Kelly (pmk@post.com) |
5 | * Copyright (C) 2006 Alexey Proskuryakov (ap@nypop.com) | |
6 | * | |
7 | * This library is free software; you can redistribute it and/or | |
8 | * modify it under the terms of the GNU Lesser General Public | |
9 | * License as published by the Free Software Foundation; either | |
10 | * version 2 of the License, or (at your option) any later version. | |
11 | * | |
12 | * This library is distributed in the hope that it will be useful, | |
13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of | |
14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
15 | * Lesser General Public License for more details. | |
16 | * | |
17 | * You should have received a copy of the GNU Lesser General Public | |
18 | * License along with this library; if not, write to the Free Software | |
19 | * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA | |
20 | * | |
21 | */ | |
22 | ||
23 | #include "config.h" | |
24 | #include "JSArray.h" | |
25 | ||
26 | #include "ArrayPrototype.h" | |
ba379fdc | 27 | #include "CachedCall.h" |
f9bf01c6 A |
28 | #include "Error.h" |
29 | #include "Executable.h" | |
9dae56ea A |
30 | #include "PropertyNameArray.h" |
31 | #include <wtf/AVLTree.h> | |
32 | #include <wtf/Assertions.h> | |
ba379fdc | 33 | #include <wtf/OwnPtr.h> |
9dae56ea A |
34 | #include <Operations.h> |
35 | ||
36 | #define CHECK_ARRAY_CONSISTENCY 0 | |
37 | ||
38 | using namespace std; | |
39 | using namespace WTF; | |
40 | ||
41 | namespace JSC { | |
42 | ||
43 | ASSERT_CLASS_FITS_IN_CELL(JSArray); | |
44 | ||
45 | // Overview of JSArray | |
46 | // | |
47 | // Properties of JSArray objects may be stored in one of three locations: | |
48 | // * The regular JSObject property map. | |
49 | // * A storage vector. | |
50 | // * A sparse map of array entries. | |
51 | // | |
52 | // Properties with non-numeric identifiers, with identifiers that are not representable | |
53 | // as an unsigned integer, or where the value is greater than MAX_ARRAY_INDEX | |
54 | // (specifically, this is only one property - the value 0xFFFFFFFFU as an unsigned 32-bit | |
55 | // integer) are not considered array indices and will be stored in the JSObject property map. | |
56 | // | |
57 | // All properties with a numeric identifer, representable as an unsigned integer i, | |
58 | // where (i <= MAX_ARRAY_INDEX), are an array index and will be stored in either the | |
59 | // storage vector or the sparse map. An array index i will be handled in the following | |
60 | // fashion: | |
61 | // | |
62 | // * Where (i < MIN_SPARSE_ARRAY_INDEX) the value will be stored in the storage vector. | |
63 | // * Where (MIN_SPARSE_ARRAY_INDEX <= i <= MAX_STORAGE_VECTOR_INDEX) the value will either | |
64 | // be stored in the storage vector or in the sparse array, depending on the density of | |
65 | // data that would be stored in the vector (a vector being used where at least | |
66 | // (1 / minDensityMultiplier) of the entries would be populated). | |
67 | // * Where (MAX_STORAGE_VECTOR_INDEX < i <= MAX_ARRAY_INDEX) the value will always be stored | |
68 | // in the sparse array. | |
69 | ||
70 | // The definition of MAX_STORAGE_VECTOR_LENGTH is dependant on the definition storageSize | |
71 | // function below - the MAX_STORAGE_VECTOR_LENGTH limit is defined such that the storage | |
ba379fdc A |
72 | // size calculation cannot overflow. (sizeof(ArrayStorage) - sizeof(JSValue)) + |
73 | // (vectorLength * sizeof(JSValue)) must be <= 0xFFFFFFFFU (which is maximum value of size_t). | |
74 | #define MAX_STORAGE_VECTOR_LENGTH static_cast<unsigned>((0xFFFFFFFFU - (sizeof(ArrayStorage) - sizeof(JSValue))) / sizeof(JSValue)) | |
9dae56ea A |
75 | |
76 | // These values have to be macros to be used in max() and min() without introducing | |
77 | // a PIC branch in Mach-O binaries, see <rdar://problem/5971391>. | |
78 | #define MIN_SPARSE_ARRAY_INDEX 10000U | |
79 | #define MAX_STORAGE_VECTOR_INDEX (MAX_STORAGE_VECTOR_LENGTH - 1) | |
80 | // 0xFFFFFFFF is a bit weird -- is not an array index even though it's an integer. | |
81 | #define MAX_ARRAY_INDEX 0xFFFFFFFEU | |
82 | ||
83 | // Our policy for when to use a vector and when to use a sparse map. | |
84 | // For all array indices under MIN_SPARSE_ARRAY_INDEX, we always use a vector. | |
85 | // When indices greater than MIN_SPARSE_ARRAY_INDEX are involved, we use a vector | |
86 | // as long as it is 1/8 full. If more sparse than that, we use a map. | |
87 | static const unsigned minDensityMultiplier = 8; | |
88 | ||
89 | const ClassInfo JSArray::info = {"Array", 0, 0, 0}; | |
90 | ||
91 | static inline size_t storageSize(unsigned vectorLength) | |
92 | { | |
93 | ASSERT(vectorLength <= MAX_STORAGE_VECTOR_LENGTH); | |
94 | ||
95 | // MAX_STORAGE_VECTOR_LENGTH is defined such that provided (vectorLength <= MAX_STORAGE_VECTOR_LENGTH) | |
96 | // - as asserted above - the following calculation cannot overflow. | |
ba379fdc | 97 | size_t size = (sizeof(ArrayStorage) - sizeof(JSValue)) + (vectorLength * sizeof(JSValue)); |
9dae56ea A |
98 | // Assertion to detect integer overflow in previous calculation (should not be possible, provided that |
99 | // MAX_STORAGE_VECTOR_LENGTH is correctly defined). | |
ba379fdc | 100 | ASSERT(((size - (sizeof(ArrayStorage) - sizeof(JSValue))) / sizeof(JSValue) == vectorLength) && (size >= (sizeof(ArrayStorage) - sizeof(JSValue)))); |
9dae56ea A |
101 | |
102 | return size; | |
103 | } | |
104 | ||
105 | static inline unsigned increasedVectorLength(unsigned newLength) | |
106 | { | |
107 | ASSERT(newLength <= MAX_STORAGE_VECTOR_LENGTH); | |
108 | ||
109 | // Mathematically equivalent to: | |
110 | // increasedLength = (newLength * 3 + 1) / 2; | |
111 | // or: | |
112 | // increasedLength = (unsigned)ceil(newLength * 1.5)); | |
113 | // This form is not prone to internal overflow. | |
114 | unsigned increasedLength = newLength + (newLength >> 1) + (newLength & 1); | |
115 | ASSERT(increasedLength >= newLength); | |
116 | ||
117 | return min(increasedLength, MAX_STORAGE_VECTOR_LENGTH); | |
118 | } | |
119 | ||
120 | static inline bool isDenseEnoughForVector(unsigned length, unsigned numValues) | |
121 | { | |
122 | return length / minDensityMultiplier <= numValues; | |
123 | } | |
124 | ||
125 | #if !CHECK_ARRAY_CONSISTENCY | |
126 | ||
127 | inline void JSArray::checkConsistency(ConsistencyCheckType) | |
128 | { | |
129 | } | |
130 | ||
131 | #endif | |
132 | ||
f9bf01c6 | 133 | JSArray::JSArray(NonNullPassRefPtr<Structure> structure) |
9dae56ea A |
134 | : JSObject(structure) |
135 | { | |
136 | unsigned initialCapacity = 0; | |
137 | ||
138 | m_storage = static_cast<ArrayStorage*>(fastZeroedMalloc(storageSize(initialCapacity))); | |
f9bf01c6 | 139 | m_vectorLength = initialCapacity; |
9dae56ea A |
140 | |
141 | checkConsistency(); | |
142 | } | |
143 | ||
f9bf01c6 | 144 | JSArray::JSArray(NonNullPassRefPtr<Structure> structure, unsigned initialLength) |
9dae56ea A |
145 | : JSObject(structure) |
146 | { | |
147 | unsigned initialCapacity = min(initialLength, MIN_SPARSE_ARRAY_INDEX); | |
148 | ||
ba379fdc | 149 | m_storage = static_cast<ArrayStorage*>(fastMalloc(storageSize(initialCapacity))); |
9dae56ea | 150 | m_storage->m_length = initialLength; |
f9bf01c6 | 151 | m_vectorLength = initialCapacity; |
ba379fdc A |
152 | m_storage->m_numValuesInVector = 0; |
153 | m_storage->m_sparseValueMap = 0; | |
4e4e5a6f | 154 | m_storage->subclassData = 0; |
f9bf01c6 | 155 | m_storage->reportedMapCapacity = 0; |
9dae56ea | 156 | |
ba379fdc A |
157 | JSValue* vector = m_storage->m_vector; |
158 | for (size_t i = 0; i < initialCapacity; ++i) | |
159 | vector[i] = JSValue(); | |
160 | ||
9dae56ea | 161 | checkConsistency(); |
ba379fdc A |
162 | |
163 | Heap::heap(this)->reportExtraMemoryCost(initialCapacity * sizeof(JSValue)); | |
9dae56ea A |
164 | } |
165 | ||
f9bf01c6 | 166 | JSArray::JSArray(NonNullPassRefPtr<Structure> structure, const ArgList& list) |
9dae56ea A |
167 | : JSObject(structure) |
168 | { | |
ba379fdc | 169 | unsigned initialCapacity = list.size(); |
9dae56ea | 170 | |
ba379fdc A |
171 | m_storage = static_cast<ArrayStorage*>(fastMalloc(storageSize(initialCapacity))); |
172 | m_storage->m_length = initialCapacity; | |
f9bf01c6 | 173 | m_vectorLength = initialCapacity; |
ba379fdc A |
174 | m_storage->m_numValuesInVector = initialCapacity; |
175 | m_storage->m_sparseValueMap = 0; | |
4e4e5a6f | 176 | m_storage->subclassData = 0; |
f9bf01c6 | 177 | m_storage->reportedMapCapacity = 0; |
9dae56ea A |
178 | |
179 | size_t i = 0; | |
180 | ArgList::const_iterator end = list.end(); | |
181 | for (ArgList::const_iterator it = list.begin(); it != end; ++it, ++i) | |
ba379fdc | 182 | m_storage->m_vector[i] = *it; |
9dae56ea | 183 | |
9dae56ea | 184 | checkConsistency(); |
ba379fdc A |
185 | |
186 | Heap::heap(this)->reportExtraMemoryCost(storageSize(initialCapacity)); | |
9dae56ea A |
187 | } |
188 | ||
189 | JSArray::~JSArray() | |
190 | { | |
f9bf01c6 | 191 | ASSERT(vptr() == JSGlobalData::jsArrayVPtr); |
9dae56ea A |
192 | checkConsistency(DestructorConsistencyCheck); |
193 | ||
194 | delete m_storage->m_sparseValueMap; | |
195 | fastFree(m_storage); | |
196 | } | |
197 | ||
198 | bool JSArray::getOwnPropertySlot(ExecState* exec, unsigned i, PropertySlot& slot) | |
199 | { | |
200 | ArrayStorage* storage = m_storage; | |
201 | ||
202 | if (i >= storage->m_length) { | |
203 | if (i > MAX_ARRAY_INDEX) | |
204 | return getOwnPropertySlot(exec, Identifier::from(exec, i), slot); | |
205 | return false; | |
206 | } | |
207 | ||
f9bf01c6 | 208 | if (i < m_vectorLength) { |
ba379fdc | 209 | JSValue& valueSlot = storage->m_vector[i]; |
9dae56ea A |
210 | if (valueSlot) { |
211 | slot.setValueSlot(&valueSlot); | |
212 | return true; | |
213 | } | |
214 | } else if (SparseArrayValueMap* map = storage->m_sparseValueMap) { | |
215 | if (i >= MIN_SPARSE_ARRAY_INDEX) { | |
216 | SparseArrayValueMap::iterator it = map->find(i); | |
217 | if (it != map->end()) { | |
218 | slot.setValueSlot(&it->second); | |
219 | return true; | |
220 | } | |
221 | } | |
222 | } | |
223 | ||
f9bf01c6 | 224 | return JSObject::getOwnPropertySlot(exec, Identifier::from(exec, i), slot); |
9dae56ea A |
225 | } |
226 | ||
227 | bool JSArray::getOwnPropertySlot(ExecState* exec, const Identifier& propertyName, PropertySlot& slot) | |
228 | { | |
229 | if (propertyName == exec->propertyNames().length) { | |
230 | slot.setValue(jsNumber(exec, length())); | |
231 | return true; | |
232 | } | |
233 | ||
234 | bool isArrayIndex; | |
235 | unsigned i = propertyName.toArrayIndex(&isArrayIndex); | |
236 | if (isArrayIndex) | |
237 | return JSArray::getOwnPropertySlot(exec, i, slot); | |
238 | ||
239 | return JSObject::getOwnPropertySlot(exec, propertyName, slot); | |
240 | } | |
241 | ||
f9bf01c6 A |
242 | bool JSArray::getOwnPropertyDescriptor(ExecState* exec, const Identifier& propertyName, PropertyDescriptor& descriptor) |
243 | { | |
244 | if (propertyName == exec->propertyNames().length) { | |
245 | descriptor.setDescriptor(jsNumber(exec, length()), DontDelete | DontEnum); | |
246 | return true; | |
247 | } | |
248 | ||
249 | bool isArrayIndex; | |
250 | unsigned i = propertyName.toArrayIndex(&isArrayIndex); | |
251 | if (isArrayIndex) { | |
252 | if (i >= m_storage->m_length) | |
253 | return false; | |
254 | if (i < m_vectorLength) { | |
255 | JSValue& value = m_storage->m_vector[i]; | |
256 | if (value) { | |
257 | descriptor.setDescriptor(value, 0); | |
258 | return true; | |
259 | } | |
260 | } else if (SparseArrayValueMap* map = m_storage->m_sparseValueMap) { | |
261 | if (i >= MIN_SPARSE_ARRAY_INDEX) { | |
262 | SparseArrayValueMap::iterator it = map->find(i); | |
263 | if (it != map->end()) { | |
264 | descriptor.setDescriptor(it->second, 0); | |
265 | return true; | |
266 | } | |
267 | } | |
268 | } | |
269 | } | |
270 | return JSObject::getOwnPropertyDescriptor(exec, propertyName, descriptor); | |
271 | } | |
272 | ||
9dae56ea | 273 | // ECMA 15.4.5.1 |
ba379fdc | 274 | void JSArray::put(ExecState* exec, const Identifier& propertyName, JSValue value, PutPropertySlot& slot) |
9dae56ea A |
275 | { |
276 | bool isArrayIndex; | |
277 | unsigned i = propertyName.toArrayIndex(&isArrayIndex); | |
278 | if (isArrayIndex) { | |
279 | put(exec, i, value); | |
280 | return; | |
281 | } | |
282 | ||
283 | if (propertyName == exec->propertyNames().length) { | |
284 | unsigned newLength = value.toUInt32(exec); | |
285 | if (value.toNumber(exec) != static_cast<double>(newLength)) { | |
286 | throwError(exec, RangeError, "Invalid array length."); | |
287 | return; | |
288 | } | |
289 | setLength(newLength); | |
290 | return; | |
291 | } | |
292 | ||
293 | JSObject::put(exec, propertyName, value, slot); | |
294 | } | |
295 | ||
ba379fdc | 296 | void JSArray::put(ExecState* exec, unsigned i, JSValue value) |
9dae56ea A |
297 | { |
298 | checkConsistency(); | |
299 | ||
300 | unsigned length = m_storage->m_length; | |
301 | if (i >= length && i <= MAX_ARRAY_INDEX) { | |
302 | length = i + 1; | |
303 | m_storage->m_length = length; | |
304 | } | |
305 | ||
f9bf01c6 | 306 | if (i < m_vectorLength) { |
ba379fdc | 307 | JSValue& valueSlot = m_storage->m_vector[i]; |
9dae56ea A |
308 | if (valueSlot) { |
309 | valueSlot = value; | |
310 | checkConsistency(); | |
311 | return; | |
312 | } | |
313 | valueSlot = value; | |
f9bf01c6 | 314 | ++m_storage->m_numValuesInVector; |
9dae56ea A |
315 | checkConsistency(); |
316 | return; | |
317 | } | |
318 | ||
319 | putSlowCase(exec, i, value); | |
320 | } | |
321 | ||
ba379fdc | 322 | NEVER_INLINE void JSArray::putSlowCase(ExecState* exec, unsigned i, JSValue value) |
9dae56ea A |
323 | { |
324 | ArrayStorage* storage = m_storage; | |
325 | SparseArrayValueMap* map = storage->m_sparseValueMap; | |
326 | ||
327 | if (i >= MIN_SPARSE_ARRAY_INDEX) { | |
328 | if (i > MAX_ARRAY_INDEX) { | |
329 | PutPropertySlot slot; | |
330 | put(exec, Identifier::from(exec, i), value, slot); | |
331 | return; | |
332 | } | |
333 | ||
334 | // We miss some cases where we could compact the storage, such as a large array that is being filled from the end | |
f9bf01c6 | 335 | // (which will only be compacted as we reach indices that are less than MIN_SPARSE_ARRAY_INDEX) - but this makes the check much faster. |
9dae56ea A |
336 | if ((i > MAX_STORAGE_VECTOR_INDEX) || !isDenseEnoughForVector(i + 1, storage->m_numValuesInVector + 1)) { |
337 | if (!map) { | |
338 | map = new SparseArrayValueMap; | |
339 | storage->m_sparseValueMap = map; | |
340 | } | |
f9bf01c6 A |
341 | |
342 | pair<SparseArrayValueMap::iterator, bool> result = map->add(i, value); | |
343 | if (!result.second) { // pre-existing entry | |
344 | result.first->second = value; | |
345 | return; | |
346 | } | |
347 | ||
348 | size_t capacity = map->capacity(); | |
349 | if (capacity != storage->reportedMapCapacity) { | |
350 | Heap::heap(this)->reportExtraMemoryCost((capacity - storage->reportedMapCapacity) * (sizeof(unsigned) + sizeof(JSValue))); | |
351 | storage->reportedMapCapacity = capacity; | |
352 | } | |
9dae56ea A |
353 | return; |
354 | } | |
355 | } | |
356 | ||
357 | // We have decided that we'll put the new item into the vector. | |
358 | // Fast case is when there is no sparse map, so we can increase the vector size without moving values from it. | |
359 | if (!map || map->isEmpty()) { | |
360 | if (increaseVectorLength(i + 1)) { | |
361 | storage = m_storage; | |
362 | storage->m_vector[i] = value; | |
f9bf01c6 | 363 | ++storage->m_numValuesInVector; |
9dae56ea A |
364 | checkConsistency(); |
365 | } else | |
366 | throwOutOfMemoryError(exec); | |
367 | return; | |
368 | } | |
369 | ||
370 | // Decide how many values it would be best to move from the map. | |
371 | unsigned newNumValuesInVector = storage->m_numValuesInVector + 1; | |
372 | unsigned newVectorLength = increasedVectorLength(i + 1); | |
f9bf01c6 | 373 | for (unsigned j = max(m_vectorLength, MIN_SPARSE_ARRAY_INDEX); j < newVectorLength; ++j) |
9dae56ea A |
374 | newNumValuesInVector += map->contains(j); |
375 | if (i >= MIN_SPARSE_ARRAY_INDEX) | |
376 | newNumValuesInVector -= map->contains(i); | |
377 | if (isDenseEnoughForVector(newVectorLength, newNumValuesInVector)) { | |
378 | unsigned proposedNewNumValuesInVector = newNumValuesInVector; | |
379 | // If newVectorLength is already the maximum - MAX_STORAGE_VECTOR_LENGTH - then do not attempt to grow any further. | |
380 | while (newVectorLength < MAX_STORAGE_VECTOR_LENGTH) { | |
381 | unsigned proposedNewVectorLength = increasedVectorLength(newVectorLength + 1); | |
382 | for (unsigned j = max(newVectorLength, MIN_SPARSE_ARRAY_INDEX); j < proposedNewVectorLength; ++j) | |
383 | proposedNewNumValuesInVector += map->contains(j); | |
384 | if (!isDenseEnoughForVector(proposedNewVectorLength, proposedNewNumValuesInVector)) | |
385 | break; | |
386 | newVectorLength = proposedNewVectorLength; | |
387 | newNumValuesInVector = proposedNewNumValuesInVector; | |
388 | } | |
389 | } | |
390 | ||
f9bf01c6 | 391 | if (!tryFastRealloc(storage, storageSize(newVectorLength)).getValue(storage)) { |
9dae56ea A |
392 | throwOutOfMemoryError(exec); |
393 | return; | |
394 | } | |
395 | ||
f9bf01c6 | 396 | unsigned vectorLength = m_vectorLength; |
9dae56ea A |
397 | |
398 | if (newNumValuesInVector == storage->m_numValuesInVector + 1) { | |
399 | for (unsigned j = vectorLength; j < newVectorLength; ++j) | |
ba379fdc | 400 | storage->m_vector[j] = JSValue(); |
9dae56ea A |
401 | if (i > MIN_SPARSE_ARRAY_INDEX) |
402 | map->remove(i); | |
403 | } else { | |
404 | for (unsigned j = vectorLength; j < max(vectorLength, MIN_SPARSE_ARRAY_INDEX); ++j) | |
ba379fdc | 405 | storage->m_vector[j] = JSValue(); |
9dae56ea A |
406 | for (unsigned j = max(vectorLength, MIN_SPARSE_ARRAY_INDEX); j < newVectorLength; ++j) |
407 | storage->m_vector[j] = map->take(j); | |
408 | } | |
409 | ||
410 | storage->m_vector[i] = value; | |
411 | ||
f9bf01c6 | 412 | m_vectorLength = newVectorLength; |
9dae56ea A |
413 | storage->m_numValuesInVector = newNumValuesInVector; |
414 | ||
415 | m_storage = storage; | |
416 | ||
417 | checkConsistency(); | |
f9bf01c6 A |
418 | |
419 | Heap::heap(this)->reportExtraMemoryCost(storageSize(newVectorLength) - storageSize(vectorLength)); | |
9dae56ea A |
420 | } |
421 | ||
422 | bool JSArray::deleteProperty(ExecState* exec, const Identifier& propertyName) | |
423 | { | |
424 | bool isArrayIndex; | |
425 | unsigned i = propertyName.toArrayIndex(&isArrayIndex); | |
426 | if (isArrayIndex) | |
427 | return deleteProperty(exec, i); | |
428 | ||
429 | if (propertyName == exec->propertyNames().length) | |
430 | return false; | |
431 | ||
432 | return JSObject::deleteProperty(exec, propertyName); | |
433 | } | |
434 | ||
435 | bool JSArray::deleteProperty(ExecState* exec, unsigned i) | |
436 | { | |
437 | checkConsistency(); | |
438 | ||
439 | ArrayStorage* storage = m_storage; | |
440 | ||
f9bf01c6 | 441 | if (i < m_vectorLength) { |
ba379fdc | 442 | JSValue& valueSlot = storage->m_vector[i]; |
9dae56ea A |
443 | if (!valueSlot) { |
444 | checkConsistency(); | |
445 | return false; | |
446 | } | |
ba379fdc | 447 | valueSlot = JSValue(); |
9dae56ea | 448 | --storage->m_numValuesInVector; |
9dae56ea A |
449 | checkConsistency(); |
450 | return true; | |
451 | } | |
452 | ||
453 | if (SparseArrayValueMap* map = storage->m_sparseValueMap) { | |
454 | if (i >= MIN_SPARSE_ARRAY_INDEX) { | |
455 | SparseArrayValueMap::iterator it = map->find(i); | |
456 | if (it != map->end()) { | |
457 | map->remove(it); | |
458 | checkConsistency(); | |
459 | return true; | |
460 | } | |
461 | } | |
462 | } | |
463 | ||
464 | checkConsistency(); | |
465 | ||
466 | if (i > MAX_ARRAY_INDEX) | |
467 | return deleteProperty(exec, Identifier::from(exec, i)); | |
468 | ||
469 | return false; | |
470 | } | |
471 | ||
f9bf01c6 | 472 | void JSArray::getOwnPropertyNames(ExecState* exec, PropertyNameArray& propertyNames, EnumerationMode mode) |
9dae56ea A |
473 | { |
474 | // FIXME: Filling PropertyNameArray with an identifier for every integer | |
475 | // is incredibly inefficient for large arrays. We need a different approach, | |
476 | // which almost certainly means a different structure for PropertyNameArray. | |
477 | ||
478 | ArrayStorage* storage = m_storage; | |
479 | ||
f9bf01c6 | 480 | unsigned usedVectorLength = min(storage->m_length, m_vectorLength); |
9dae56ea A |
481 | for (unsigned i = 0; i < usedVectorLength; ++i) { |
482 | if (storage->m_vector[i]) | |
483 | propertyNames.add(Identifier::from(exec, i)); | |
484 | } | |
485 | ||
486 | if (SparseArrayValueMap* map = storage->m_sparseValueMap) { | |
487 | SparseArrayValueMap::iterator end = map->end(); | |
488 | for (SparseArrayValueMap::iterator it = map->begin(); it != end; ++it) | |
489 | propertyNames.add(Identifier::from(exec, it->first)); | |
490 | } | |
491 | ||
f9bf01c6 A |
492 | if (mode == IncludeDontEnumProperties) |
493 | propertyNames.add(exec->propertyNames().length); | |
494 | ||
495 | JSObject::getOwnPropertyNames(exec, propertyNames, mode); | |
9dae56ea A |
496 | } |
497 | ||
498 | bool JSArray::increaseVectorLength(unsigned newLength) | |
499 | { | |
500 | // This function leaves the array in an internally inconsistent state, because it does not move any values from sparse value map | |
501 | // to the vector. Callers have to account for that, because they can do it more efficiently. | |
502 | ||
503 | ArrayStorage* storage = m_storage; | |
504 | ||
f9bf01c6 | 505 | unsigned vectorLength = m_vectorLength; |
9dae56ea A |
506 | ASSERT(newLength > vectorLength); |
507 | ASSERT(newLength <= MAX_STORAGE_VECTOR_INDEX); | |
508 | unsigned newVectorLength = increasedVectorLength(newLength); | |
509 | ||
f9bf01c6 | 510 | if (!tryFastRealloc(storage, storageSize(newVectorLength)).getValue(storage)) |
9dae56ea A |
511 | return false; |
512 | ||
f9bf01c6 | 513 | m_vectorLength = newVectorLength; |
9dae56ea A |
514 | |
515 | for (unsigned i = vectorLength; i < newVectorLength; ++i) | |
ba379fdc | 516 | storage->m_vector[i] = JSValue(); |
9dae56ea A |
517 | |
518 | m_storage = storage; | |
f9bf01c6 A |
519 | |
520 | Heap::heap(this)->reportExtraMemoryCost(storageSize(newVectorLength) - storageSize(vectorLength)); | |
521 | ||
9dae56ea A |
522 | return true; |
523 | } | |
524 | ||
525 | void JSArray::setLength(unsigned newLength) | |
526 | { | |
527 | checkConsistency(); | |
528 | ||
529 | ArrayStorage* storage = m_storage; | |
530 | ||
531 | unsigned length = m_storage->m_length; | |
532 | ||
533 | if (newLength < length) { | |
f9bf01c6 | 534 | unsigned usedVectorLength = min(length, m_vectorLength); |
9dae56ea | 535 | for (unsigned i = newLength; i < usedVectorLength; ++i) { |
ba379fdc | 536 | JSValue& valueSlot = storage->m_vector[i]; |
9dae56ea | 537 | bool hadValue = valueSlot; |
ba379fdc | 538 | valueSlot = JSValue(); |
9dae56ea A |
539 | storage->m_numValuesInVector -= hadValue; |
540 | } | |
541 | ||
542 | if (SparseArrayValueMap* map = storage->m_sparseValueMap) { | |
543 | SparseArrayValueMap copy = *map; | |
544 | SparseArrayValueMap::iterator end = copy.end(); | |
545 | for (SparseArrayValueMap::iterator it = copy.begin(); it != end; ++it) { | |
546 | if (it->first >= newLength) | |
547 | map->remove(it->first); | |
548 | } | |
549 | if (map->isEmpty()) { | |
550 | delete map; | |
551 | storage->m_sparseValueMap = 0; | |
552 | } | |
553 | } | |
554 | } | |
555 | ||
556 | m_storage->m_length = newLength; | |
557 | ||
558 | checkConsistency(); | |
559 | } | |
560 | ||
ba379fdc | 561 | JSValue JSArray::pop() |
9dae56ea A |
562 | { |
563 | checkConsistency(); | |
564 | ||
565 | unsigned length = m_storage->m_length; | |
566 | if (!length) | |
567 | return jsUndefined(); | |
568 | ||
569 | --length; | |
570 | ||
ba379fdc | 571 | JSValue result; |
9dae56ea | 572 | |
f9bf01c6 | 573 | if (length < m_vectorLength) { |
ba379fdc | 574 | JSValue& valueSlot = m_storage->m_vector[length]; |
f9bf01c6 | 575 | if (valueSlot) { |
9dae56ea | 576 | --m_storage->m_numValuesInVector; |
f9bf01c6 A |
577 | result = valueSlot; |
578 | valueSlot = JSValue(); | |
579 | } else | |
9dae56ea A |
580 | result = jsUndefined(); |
581 | } else { | |
582 | result = jsUndefined(); | |
583 | if (SparseArrayValueMap* map = m_storage->m_sparseValueMap) { | |
584 | SparseArrayValueMap::iterator it = map->find(length); | |
585 | if (it != map->end()) { | |
586 | result = it->second; | |
587 | map->remove(it); | |
588 | if (map->isEmpty()) { | |
589 | delete map; | |
590 | m_storage->m_sparseValueMap = 0; | |
591 | } | |
592 | } | |
593 | } | |
594 | } | |
595 | ||
596 | m_storage->m_length = length; | |
597 | ||
598 | checkConsistency(); | |
599 | ||
600 | return result; | |
601 | } | |
602 | ||
ba379fdc | 603 | void JSArray::push(ExecState* exec, JSValue value) |
9dae56ea A |
604 | { |
605 | checkConsistency(); | |
606 | ||
f9bf01c6 | 607 | if (m_storage->m_length < m_vectorLength) { |
9dae56ea | 608 | m_storage->m_vector[m_storage->m_length] = value; |
f9bf01c6 A |
609 | ++m_storage->m_numValuesInVector; |
610 | ++m_storage->m_length; | |
9dae56ea A |
611 | checkConsistency(); |
612 | return; | |
613 | } | |
614 | ||
615 | if (m_storage->m_length < MIN_SPARSE_ARRAY_INDEX) { | |
616 | SparseArrayValueMap* map = m_storage->m_sparseValueMap; | |
617 | if (!map || map->isEmpty()) { | |
618 | if (increaseVectorLength(m_storage->m_length + 1)) { | |
619 | m_storage->m_vector[m_storage->m_length] = value; | |
f9bf01c6 A |
620 | ++m_storage->m_numValuesInVector; |
621 | ++m_storage->m_length; | |
9dae56ea A |
622 | checkConsistency(); |
623 | return; | |
624 | } | |
625 | checkConsistency(); | |
626 | throwOutOfMemoryError(exec); | |
627 | return; | |
628 | } | |
629 | } | |
630 | ||
631 | putSlowCase(exec, m_storage->m_length++, value); | |
632 | } | |
633 | ||
f9bf01c6 | 634 | void JSArray::markChildren(MarkStack& markStack) |
9dae56ea | 635 | { |
f9bf01c6 | 636 | markChildrenDirect(markStack); |
9dae56ea A |
637 | } |
638 | ||
639 | static int compareNumbersForQSort(const void* a, const void* b) | |
640 | { | |
ba379fdc A |
641 | double da = static_cast<const JSValue*>(a)->uncheckedGetNumber(); |
642 | double db = static_cast<const JSValue*>(b)->uncheckedGetNumber(); | |
9dae56ea A |
643 | return (da > db) - (da < db); |
644 | } | |
645 | ||
ba379fdc | 646 | typedef std::pair<JSValue, UString> ValueStringPair; |
9dae56ea A |
647 | |
648 | static int compareByStringPairForQSort(const void* a, const void* b) | |
649 | { | |
650 | const ValueStringPair* va = static_cast<const ValueStringPair*>(a); | |
651 | const ValueStringPair* vb = static_cast<const ValueStringPair*>(b); | |
652 | return compare(va->second, vb->second); | |
653 | } | |
654 | ||
ba379fdc | 655 | void JSArray::sortNumeric(ExecState* exec, JSValue compareFunction, CallType callType, const CallData& callData) |
9dae56ea A |
656 | { |
657 | unsigned lengthNotIncludingUndefined = compactForSorting(); | |
658 | if (m_storage->m_sparseValueMap) { | |
659 | throwOutOfMemoryError(exec); | |
660 | return; | |
661 | } | |
662 | ||
663 | if (!lengthNotIncludingUndefined) | |
664 | return; | |
665 | ||
666 | bool allValuesAreNumbers = true; | |
667 | size_t size = m_storage->m_numValuesInVector; | |
668 | for (size_t i = 0; i < size; ++i) { | |
669 | if (!m_storage->m_vector[i].isNumber()) { | |
670 | allValuesAreNumbers = false; | |
671 | break; | |
672 | } | |
673 | } | |
674 | ||
675 | if (!allValuesAreNumbers) | |
676 | return sort(exec, compareFunction, callType, callData); | |
677 | ||
678 | // For numeric comparison, which is fast, qsort is faster than mergesort. We | |
679 | // also don't require mergesort's stability, since there's no user visible | |
680 | // side-effect from swapping the order of equal primitive values. | |
ba379fdc | 681 | qsort(m_storage->m_vector, size, sizeof(JSValue), compareNumbersForQSort); |
9dae56ea A |
682 | |
683 | checkConsistency(SortConsistencyCheck); | |
684 | } | |
685 | ||
686 | void JSArray::sort(ExecState* exec) | |
687 | { | |
688 | unsigned lengthNotIncludingUndefined = compactForSorting(); | |
689 | if (m_storage->m_sparseValueMap) { | |
690 | throwOutOfMemoryError(exec); | |
691 | return; | |
692 | } | |
693 | ||
694 | if (!lengthNotIncludingUndefined) | |
695 | return; | |
696 | ||
697 | // Converting JavaScript values to strings can be expensive, so we do it once up front and sort based on that. | |
698 | // This is a considerable improvement over doing it twice per comparison, though it requires a large temporary | |
699 | // buffer. Besides, this protects us from crashing if some objects have custom toString methods that return | |
700 | // random or otherwise changing results, effectively making compare function inconsistent. | |
701 | ||
702 | Vector<ValueStringPair> values(lengthNotIncludingUndefined); | |
703 | if (!values.begin()) { | |
704 | throwOutOfMemoryError(exec); | |
705 | return; | |
706 | } | |
707 | ||
708 | for (size_t i = 0; i < lengthNotIncludingUndefined; i++) { | |
ba379fdc | 709 | JSValue value = m_storage->m_vector[i]; |
9dae56ea A |
710 | ASSERT(!value.isUndefined()); |
711 | values[i].first = value; | |
712 | } | |
713 | ||
714 | // FIXME: While calling these toString functions, the array could be mutated. | |
715 | // In that case, objects pointed to by values in this vector might get garbage-collected! | |
716 | ||
717 | // FIXME: The following loop continues to call toString on subsequent values even after | |
718 | // a toString call raises an exception. | |
719 | ||
720 | for (size_t i = 0; i < lengthNotIncludingUndefined; i++) | |
721 | values[i].second = values[i].first.toString(exec); | |
722 | ||
723 | if (exec->hadException()) | |
724 | return; | |
725 | ||
726 | // FIXME: Since we sort by string value, a fast algorithm might be to use a radix sort. That would be O(N) rather | |
727 | // than O(N log N). | |
728 | ||
729 | #if HAVE(MERGESORT) | |
730 | mergesort(values.begin(), values.size(), sizeof(ValueStringPair), compareByStringPairForQSort); | |
731 | #else | |
732 | // FIXME: The qsort library function is likely to not be a stable sort. | |
733 | // ECMAScript-262 does not specify a stable sort, but in practice, browsers perform a stable sort. | |
734 | qsort(values.begin(), values.size(), sizeof(ValueStringPair), compareByStringPairForQSort); | |
735 | #endif | |
736 | ||
737 | // FIXME: If the toString function changed the length of the array, this might be | |
738 | // modifying the vector incorrectly. | |
739 | ||
740 | for (size_t i = 0; i < lengthNotIncludingUndefined; i++) | |
741 | m_storage->m_vector[i] = values[i].first; | |
742 | ||
743 | checkConsistency(SortConsistencyCheck); | |
744 | } | |
745 | ||
746 | struct AVLTreeNodeForArrayCompare { | |
ba379fdc | 747 | JSValue value; |
9dae56ea A |
748 | |
749 | // Child pointers. The high bit of gt is robbed and used as the | |
750 | // balance factor sign. The high bit of lt is robbed and used as | |
751 | // the magnitude of the balance factor. | |
752 | int32_t gt; | |
753 | int32_t lt; | |
754 | }; | |
755 | ||
756 | struct AVLTreeAbstractorForArrayCompare { | |
757 | typedef int32_t handle; // Handle is an index into m_nodes vector. | |
ba379fdc | 758 | typedef JSValue key; |
9dae56ea A |
759 | typedef int32_t size; |
760 | ||
761 | Vector<AVLTreeNodeForArrayCompare> m_nodes; | |
762 | ExecState* m_exec; | |
ba379fdc | 763 | JSValue m_compareFunction; |
9dae56ea A |
764 | CallType m_compareCallType; |
765 | const CallData* m_compareCallData; | |
ba379fdc A |
766 | JSValue m_globalThisValue; |
767 | OwnPtr<CachedCall> m_cachedCall; | |
9dae56ea A |
768 | |
769 | handle get_less(handle h) { return m_nodes[h].lt & 0x7FFFFFFF; } | |
770 | void set_less(handle h, handle lh) { m_nodes[h].lt &= 0x80000000; m_nodes[h].lt |= lh; } | |
771 | handle get_greater(handle h) { return m_nodes[h].gt & 0x7FFFFFFF; } | |
772 | void set_greater(handle h, handle gh) { m_nodes[h].gt &= 0x80000000; m_nodes[h].gt |= gh; } | |
773 | ||
774 | int get_balance_factor(handle h) | |
775 | { | |
776 | if (m_nodes[h].gt & 0x80000000) | |
777 | return -1; | |
778 | return static_cast<unsigned>(m_nodes[h].lt) >> 31; | |
779 | } | |
780 | ||
781 | void set_balance_factor(handle h, int bf) | |
782 | { | |
783 | if (bf == 0) { | |
784 | m_nodes[h].lt &= 0x7FFFFFFF; | |
785 | m_nodes[h].gt &= 0x7FFFFFFF; | |
786 | } else { | |
787 | m_nodes[h].lt |= 0x80000000; | |
788 | if (bf < 0) | |
789 | m_nodes[h].gt |= 0x80000000; | |
790 | else | |
791 | m_nodes[h].gt &= 0x7FFFFFFF; | |
792 | } | |
793 | } | |
794 | ||
795 | int compare_key_key(key va, key vb) | |
796 | { | |
797 | ASSERT(!va.isUndefined()); | |
798 | ASSERT(!vb.isUndefined()); | |
799 | ||
800 | if (m_exec->hadException()) | |
801 | return 1; | |
802 | ||
ba379fdc A |
803 | double compareResult; |
804 | if (m_cachedCall) { | |
805 | m_cachedCall->setThis(m_globalThisValue); | |
806 | m_cachedCall->setArgument(0, va); | |
807 | m_cachedCall->setArgument(1, vb); | |
f9bf01c6 | 808 | compareResult = m_cachedCall->call().toNumber(m_cachedCall->newCallFrame(m_exec)); |
ba379fdc A |
809 | } else { |
810 | MarkedArgumentBuffer arguments; | |
811 | arguments.append(va); | |
812 | arguments.append(vb); | |
813 | compareResult = call(m_exec, m_compareFunction, m_compareCallType, *m_compareCallData, m_globalThisValue, arguments).toNumber(m_exec); | |
814 | } | |
9dae56ea A |
815 | return (compareResult < 0) ? -1 : 1; // Not passing equality through, because we need to store all values, even if equivalent. |
816 | } | |
817 | ||
818 | int compare_key_node(key k, handle h) { return compare_key_key(k, m_nodes[h].value); } | |
819 | int compare_node_node(handle h1, handle h2) { return compare_key_key(m_nodes[h1].value, m_nodes[h2].value); } | |
820 | ||
821 | static handle null() { return 0x7FFFFFFF; } | |
822 | }; | |
823 | ||
ba379fdc | 824 | void JSArray::sort(ExecState* exec, JSValue compareFunction, CallType callType, const CallData& callData) |
9dae56ea A |
825 | { |
826 | checkConsistency(); | |
827 | ||
828 | // FIXME: This ignores exceptions raised in the compare function or in toNumber. | |
829 | ||
830 | // The maximum tree depth is compiled in - but the caller is clearly up to no good | |
831 | // if a larger array is passed. | |
832 | ASSERT(m_storage->m_length <= static_cast<unsigned>(std::numeric_limits<int>::max())); | |
833 | if (m_storage->m_length > static_cast<unsigned>(std::numeric_limits<int>::max())) | |
834 | return; | |
835 | ||
836 | if (!m_storage->m_length) | |
837 | return; | |
838 | ||
f9bf01c6 | 839 | unsigned usedVectorLength = min(m_storage->m_length, m_vectorLength); |
9dae56ea A |
840 | |
841 | AVLTree<AVLTreeAbstractorForArrayCompare, 44> tree; // Depth 44 is enough for 2^31 items | |
842 | tree.abstractor().m_exec = exec; | |
843 | tree.abstractor().m_compareFunction = compareFunction; | |
844 | tree.abstractor().m_compareCallType = callType; | |
845 | tree.abstractor().m_compareCallData = &callData; | |
846 | tree.abstractor().m_globalThisValue = exec->globalThisValue(); | |
847 | tree.abstractor().m_nodes.resize(usedVectorLength + (m_storage->m_sparseValueMap ? m_storage->m_sparseValueMap->size() : 0)); | |
848 | ||
ba379fdc A |
849 | if (callType == CallTypeJS) |
850 | tree.abstractor().m_cachedCall.set(new CachedCall(exec, asFunction(compareFunction), 2, exec->exceptionSlot())); | |
851 | ||
9dae56ea A |
852 | if (!tree.abstractor().m_nodes.begin()) { |
853 | throwOutOfMemoryError(exec); | |
854 | return; | |
855 | } | |
856 | ||
857 | // FIXME: If the compare function modifies the array, the vector, map, etc. could be modified | |
858 | // right out from under us while we're building the tree here. | |
859 | ||
860 | unsigned numDefined = 0; | |
861 | unsigned numUndefined = 0; | |
862 | ||
863 | // Iterate over the array, ignoring missing values, counting undefined ones, and inserting all other ones into the tree. | |
864 | for (; numDefined < usedVectorLength; ++numDefined) { | |
ba379fdc | 865 | JSValue v = m_storage->m_vector[numDefined]; |
9dae56ea A |
866 | if (!v || v.isUndefined()) |
867 | break; | |
868 | tree.abstractor().m_nodes[numDefined].value = v; | |
869 | tree.insert(numDefined); | |
870 | } | |
871 | for (unsigned i = numDefined; i < usedVectorLength; ++i) { | |
ba379fdc | 872 | JSValue v = m_storage->m_vector[i]; |
9dae56ea A |
873 | if (v) { |
874 | if (v.isUndefined()) | |
875 | ++numUndefined; | |
876 | else { | |
877 | tree.abstractor().m_nodes[numDefined].value = v; | |
878 | tree.insert(numDefined); | |
879 | ++numDefined; | |
880 | } | |
881 | } | |
882 | } | |
883 | ||
884 | unsigned newUsedVectorLength = numDefined + numUndefined; | |
885 | ||
886 | if (SparseArrayValueMap* map = m_storage->m_sparseValueMap) { | |
887 | newUsedVectorLength += map->size(); | |
f9bf01c6 | 888 | if (newUsedVectorLength > m_vectorLength) { |
9dae56ea A |
889 | // Check that it is possible to allocate an array large enough to hold all the entries. |
890 | if ((newUsedVectorLength > MAX_STORAGE_VECTOR_LENGTH) || !increaseVectorLength(newUsedVectorLength)) { | |
891 | throwOutOfMemoryError(exec); | |
892 | return; | |
893 | } | |
894 | } | |
895 | ||
896 | SparseArrayValueMap::iterator end = map->end(); | |
897 | for (SparseArrayValueMap::iterator it = map->begin(); it != end; ++it) { | |
898 | tree.abstractor().m_nodes[numDefined].value = it->second; | |
899 | tree.insert(numDefined); | |
900 | ++numDefined; | |
901 | } | |
902 | ||
903 | delete map; | |
904 | m_storage->m_sparseValueMap = 0; | |
905 | } | |
906 | ||
907 | ASSERT(tree.abstractor().m_nodes.size() >= numDefined); | |
908 | ||
909 | // FIXME: If the compare function changed the length of the array, the following might be | |
910 | // modifying the vector incorrectly. | |
911 | ||
912 | // Copy the values back into m_storage. | |
913 | AVLTree<AVLTreeAbstractorForArrayCompare, 44>::Iterator iter; | |
914 | iter.start_iter_least(tree); | |
915 | for (unsigned i = 0; i < numDefined; ++i) { | |
916 | m_storage->m_vector[i] = tree.abstractor().m_nodes[*iter].value; | |
917 | ++iter; | |
918 | } | |
919 | ||
920 | // Put undefined values back in. | |
921 | for (unsigned i = numDefined; i < newUsedVectorLength; ++i) | |
922 | m_storage->m_vector[i] = jsUndefined(); | |
923 | ||
924 | // Ensure that unused values in the vector are zeroed out. | |
925 | for (unsigned i = newUsedVectorLength; i < usedVectorLength; ++i) | |
ba379fdc | 926 | m_storage->m_vector[i] = JSValue(); |
9dae56ea | 927 | |
9dae56ea A |
928 | m_storage->m_numValuesInVector = newUsedVectorLength; |
929 | ||
930 | checkConsistency(SortConsistencyCheck); | |
931 | } | |
932 | ||
ba379fdc | 933 | void JSArray::fillArgList(ExecState* exec, MarkedArgumentBuffer& args) |
9dae56ea | 934 | { |
f9bf01c6 A |
935 | JSValue* vector = m_storage->m_vector; |
936 | unsigned vectorEnd = min(m_storage->m_length, m_vectorLength); | |
9dae56ea | 937 | unsigned i = 0; |
f9bf01c6 A |
938 | for (; i < vectorEnd; ++i) { |
939 | JSValue& v = vector[i]; | |
940 | if (!v) | |
941 | break; | |
942 | args.append(v); | |
943 | } | |
944 | ||
9dae56ea A |
945 | for (; i < m_storage->m_length; ++i) |
946 | args.append(get(exec, i)); | |
947 | } | |
948 | ||
ba379fdc A |
949 | void JSArray::copyToRegisters(ExecState* exec, Register* buffer, uint32_t maxSize) |
950 | { | |
fb8617cd | 951 | ASSERT(m_storage->m_length >= maxSize); |
ba379fdc | 952 | UNUSED_PARAM(maxSize); |
f9bf01c6 | 953 | JSValue* vector = m_storage->m_vector; |
fb8617cd | 954 | unsigned vectorEnd = min(maxSize, m_vectorLength); |
ba379fdc | 955 | unsigned i = 0; |
f9bf01c6 A |
956 | for (; i < vectorEnd; ++i) { |
957 | JSValue& v = vector[i]; | |
958 | if (!v) | |
959 | break; | |
960 | buffer[i] = v; | |
961 | } | |
962 | ||
fb8617cd | 963 | for (; i < maxSize; ++i) |
ba379fdc A |
964 | buffer[i] = get(exec, i); |
965 | } | |
966 | ||
9dae56ea A |
967 | unsigned JSArray::compactForSorting() |
968 | { | |
969 | checkConsistency(); | |
970 | ||
971 | ArrayStorage* storage = m_storage; | |
972 | ||
f9bf01c6 | 973 | unsigned usedVectorLength = min(m_storage->m_length, m_vectorLength); |
9dae56ea A |
974 | |
975 | unsigned numDefined = 0; | |
976 | unsigned numUndefined = 0; | |
977 | ||
978 | for (; numDefined < usedVectorLength; ++numDefined) { | |
ba379fdc | 979 | JSValue v = storage->m_vector[numDefined]; |
9dae56ea A |
980 | if (!v || v.isUndefined()) |
981 | break; | |
982 | } | |
983 | for (unsigned i = numDefined; i < usedVectorLength; ++i) { | |
ba379fdc | 984 | JSValue v = storage->m_vector[i]; |
9dae56ea A |
985 | if (v) { |
986 | if (v.isUndefined()) | |
987 | ++numUndefined; | |
988 | else | |
989 | storage->m_vector[numDefined++] = v; | |
990 | } | |
991 | } | |
992 | ||
993 | unsigned newUsedVectorLength = numDefined + numUndefined; | |
994 | ||
995 | if (SparseArrayValueMap* map = storage->m_sparseValueMap) { | |
996 | newUsedVectorLength += map->size(); | |
f9bf01c6 | 997 | if (newUsedVectorLength > m_vectorLength) { |
9dae56ea A |
998 | // Check that it is possible to allocate an array large enough to hold all the entries - if not, |
999 | // exception is thrown by caller. | |
1000 | if ((newUsedVectorLength > MAX_STORAGE_VECTOR_LENGTH) || !increaseVectorLength(newUsedVectorLength)) | |
1001 | return 0; | |
1002 | storage = m_storage; | |
1003 | } | |
1004 | ||
1005 | SparseArrayValueMap::iterator end = map->end(); | |
1006 | for (SparseArrayValueMap::iterator it = map->begin(); it != end; ++it) | |
1007 | storage->m_vector[numDefined++] = it->second; | |
1008 | ||
1009 | delete map; | |
1010 | storage->m_sparseValueMap = 0; | |
1011 | } | |
1012 | ||
1013 | for (unsigned i = numDefined; i < newUsedVectorLength; ++i) | |
1014 | storage->m_vector[i] = jsUndefined(); | |
1015 | for (unsigned i = newUsedVectorLength; i < usedVectorLength; ++i) | |
ba379fdc | 1016 | storage->m_vector[i] = JSValue(); |
9dae56ea | 1017 | |
9dae56ea A |
1018 | storage->m_numValuesInVector = newUsedVectorLength; |
1019 | ||
1020 | checkConsistency(SortConsistencyCheck); | |
1021 | ||
1022 | return numDefined; | |
1023 | } | |
1024 | ||
4e4e5a6f | 1025 | void* JSArray::subclassData() const |
9dae56ea | 1026 | { |
4e4e5a6f | 1027 | return m_storage->subclassData; |
9dae56ea A |
1028 | } |
1029 | ||
4e4e5a6f | 1030 | void JSArray::setSubclassData(void* d) |
9dae56ea | 1031 | { |
4e4e5a6f | 1032 | m_storage->subclassData = d; |
9dae56ea A |
1033 | } |
1034 | ||
1035 | #if CHECK_ARRAY_CONSISTENCY | |
1036 | ||
1037 | void JSArray::checkConsistency(ConsistencyCheckType type) | |
1038 | { | |
1039 | ASSERT(m_storage); | |
1040 | if (type == SortConsistencyCheck) | |
1041 | ASSERT(!m_storage->m_sparseValueMap); | |
1042 | ||
9dae56ea | 1043 | unsigned numValuesInVector = 0; |
f9bf01c6 | 1044 | for (unsigned i = 0; i < m_vectorLength; ++i) { |
ba379fdc | 1045 | if (JSValue value = m_storage->m_vector[i]) { |
9dae56ea A |
1046 | ASSERT(i < m_storage->m_length); |
1047 | if (type != DestructorConsistencyCheck) | |
1048 | value->type(); // Likely to crash if the object was deallocated. | |
1049 | ++numValuesInVector; | |
1050 | } else { | |
9dae56ea A |
1051 | if (type == SortConsistencyCheck) |
1052 | ASSERT(i >= m_storage->m_numValuesInVector); | |
1053 | } | |
1054 | } | |
1055 | ASSERT(numValuesInVector == m_storage->m_numValuesInVector); | |
f9bf01c6 | 1056 | ASSERT(numValuesInVector <= m_storage->m_length); |
9dae56ea A |
1057 | |
1058 | if (m_storage->m_sparseValueMap) { | |
1059 | SparseArrayValueMap::iterator end = m_storage->m_sparseValueMap->end(); | |
1060 | for (SparseArrayValueMap::iterator it = m_storage->m_sparseValueMap->begin(); it != end; ++it) { | |
1061 | unsigned index = it->first; | |
1062 | ASSERT(index < m_storage->m_length); | |
f9bf01c6 | 1063 | ASSERT(index >= m_vectorLength); |
9dae56ea A |
1064 | ASSERT(index <= MAX_ARRAY_INDEX); |
1065 | ASSERT(it->second); | |
1066 | if (type != DestructorConsistencyCheck) | |
1067 | it->second->type(); // Likely to crash if the object was deallocated. | |
1068 | } | |
1069 | } | |
1070 | } | |
1071 | ||
1072 | #endif | |
1073 | ||
9dae56ea | 1074 | } // namespace JSC |