Coverage Report

Created: 2026-05-16 06:46

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/src/cpython/Objects/listobject.c
Line
Count
Source
1
/* List object implementation */
2
3
#include "Python.h"
4
#include "pycore_abstract.h"      // _PyIndex_Check()
5
#include "pycore_ceval.h"         // _PyEval_GetBuiltin()
6
#include "pycore_critical_section.h"  // _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED()
7
#include "pycore_dict.h"          // _PyDictViewObject
8
#include "pycore_freelist.h"      // _Py_FREELIST_FREE(), _Py_FREELIST_POP()
9
#include "pycore_interp.h"        // PyInterpreterState.list
10
#include "pycore_list.h"          // struct _Py_list_freelist, _PyListIterObject
11
#include "pycore_long.h"          // _PyLong_DigitCount
12
#include "pycore_modsupport.h"    // _PyArg_NoKwnames()
13
#include "pycore_object.h"        // _PyObject_GC_TRACK(), _PyDebugAllocatorStats()
14
#include "pycore_pyatomic_ft_wrappers.h"
15
#include "pycore_setobject.h"     // _PySet_NextEntry()
16
#include "pycore_stackref.h"      // _Py_TryIncrefCompareStackRef()
17
#include "pycore_tuple.h"         // _PyTuple_FromArraySteal()
18
#include "pycore_typeobject.h"    // _Py_TYPE_VERSION_LIST
19
#include <stddef.h>
20
21
/*[clinic input]
22
class list "PyListObject *" "&PyList_Type"
23
[clinic start generated code]*/
24
/*[clinic end generated code: output=da39a3ee5e6b4b0d input=f9b222678f9f71e0]*/
25
26
#include "clinic/listobject.c.h"
27
28
_Py_DECLARE_STR(list_err, "list index out of range");
29
30
#ifdef Py_GIL_DISABLED
31
typedef struct {
32
    Py_ssize_t allocated;
33
    PyObject *ob_item[];
34
} _PyListArray;
35
36
static _PyListArray *
37
list_allocate_array(size_t capacity)
38
{
39
    if (capacity > PY_SSIZE_T_MAX/sizeof(PyObject*) - 1) {
40
        return NULL;
41
    }
42
    _PyListArray *array = PyMem_Malloc(sizeof(_PyListArray) + capacity * sizeof(PyObject *));
43
    if (array == NULL) {
44
        return NULL;
45
    }
46
    array->allocated = capacity;
47
    return array;
48
}
49
50
static Py_ssize_t
51
list_capacity(PyObject **items)
52
{
53
    _PyListArray *array = _Py_CONTAINER_OF(items, _PyListArray, ob_item);
54
    return array->allocated;
55
}
56
#endif
57
58
static void
59
free_list_items(PyObject** items, bool use_qsbr)
60
124M
{
61
#ifdef Py_GIL_DISABLED
62
    _PyListArray *array = _Py_CONTAINER_OF(items, _PyListArray, ob_item);
63
    if (use_qsbr) {
64
        size_t size = sizeof(_PyListArray) + array->allocated * sizeof(PyObject *);
65
        _PyMem_FreeDelayed(array, size);
66
    }
67
    else {
68
        PyMem_Free(array);
69
    }
70
#else
71
124M
    PyMem_Free(items);
72
124M
#endif
73
124M
}
74
75
static void
76
ensure_shared_on_resize(PyListObject *self)
77
92.8M
{
78
#ifdef Py_GIL_DISABLED
79
    // We can't use _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED here because
80
    // the `CALL_LIST_APPEND` bytecode handler may lock the list without
81
    // a critical section.
82
    assert(Py_REFCNT(self) == 1 || PyMutex_IsLocked(&_PyObject_CAST(self)->ob_mutex));
83
84
    // Ensure that the list array is freed using QSBR if we are not the
85
    // owning thread.
86
    if (!_Py_IsOwnedByCurrentThread((PyObject *)self) &&
87
        !_PyObject_GC_IS_SHARED(self))
88
    {
89
        _PyObject_GC_SET_SHARED(self);
90
    }
91
#endif
92
92.8M
}
93
94
/* Ensure ob_item has room for at least newsize elements, and set
95
 * ob_size to newsize.  If newsize > ob_size on entry, the content
96
 * of the new slots at exit is undefined heap trash; it's the caller's
97
 * responsibility to overwrite them with sane values.
98
 * The number of allocated elements may grow, shrink, or stay the same.
99
 * Failure is impossible if newsize <= self.allocated on entry.
100
 * Note that self->ob_item may change, and even if newsize is less
101
 * than ob_size on entry.
102
 */
103
static int
104
list_resize(PyListObject *self, Py_ssize_t newsize)
105
103M
{
106
103M
    size_t new_allocated, target_bytes;
107
103M
    Py_ssize_t allocated = self->allocated;
108
109
    /* Bypass realloc() when a previous overallocation is large enough
110
       to accommodate the newsize.  If the newsize falls lower than half
111
       the allocated size, then proceed with the realloc() to shrink the list.
112
    */
113
103M
    if (allocated >= newsize && newsize >= (allocated >> 1)) {
114
10.5M
        assert(self->ob_item != NULL || newsize == 0);
115
10.5M
        Py_SET_SIZE(self, newsize);
116
10.5M
        return 0;
117
10.5M
    }
118
119
    /* This over-allocates proportional to the list size, making room
120
     * for additional growth.  The over-allocation is mild, but is
121
     * enough to give linear-time amortized behavior over a long
122
     * sequence of appends() in the presence of a poorly-performing
123
     * system realloc().
124
     * Add padding to make the allocated size multiple of 4.
125
     * The growth pattern is:  0, 4, 8, 16, 24, 32, 40, 52, 64, 76, ...
126
     * Note: new_allocated won't overflow because the largest possible value
127
     *       is PY_SSIZE_T_MAX * (9 / 8) + 6 which always fits in a size_t.
128
     */
129
92.8M
    new_allocated = ((size_t)newsize + (newsize >> 3) + 6) & ~(size_t)3;
130
    /* Do not overallocate if the new size is closer to overallocated size
131
     * than to the old size.
132
     */
133
92.8M
    if (newsize - Py_SIZE(self) > (Py_ssize_t)(new_allocated - newsize))
134
284k
        new_allocated = ((size_t)newsize + 3) & ~(size_t)3;
135
136
92.8M
    if (newsize == 0)
137
30.3k
        new_allocated = 0;
138
139
92.8M
    ensure_shared_on_resize(self);
140
141
#ifdef Py_GIL_DISABLED
142
    _PyListArray *array = list_allocate_array(new_allocated);
143
    if (array == NULL) {
144
        if (newsize < allocated) {
145
            // Never fail when shrinking allocations
146
            Py_SET_SIZE(self, newsize);
147
            return 0;
148
        }
149
        PyErr_NoMemory();
150
        return -1;
151
    }
152
    PyObject **old_items = self->ob_item;
153
    if (self->ob_item) {
154
        if (new_allocated < (size_t)allocated) {
155
            target_bytes = new_allocated * sizeof(PyObject*);
156
        }
157
        else {
158
            target_bytes = allocated * sizeof(PyObject*);
159
        }
160
        memcpy(array->ob_item, self->ob_item, target_bytes);
161
    }
162
    if (new_allocated > (size_t)allocated) {
163
        memset(array->ob_item + allocated, 0, sizeof(PyObject *) * (new_allocated - allocated));
164
    }
165
     _Py_atomic_store_ptr_release(&self->ob_item, &array->ob_item);
166
    self->allocated = new_allocated;
167
    Py_SET_SIZE(self, newsize);
168
    if (old_items != NULL) {
169
        free_list_items(old_items, _PyObject_GC_IS_SHARED(self));
170
    }
171
#else
172
92.8M
    PyObject **items;
173
92.8M
    if (new_allocated <= (size_t)PY_SSIZE_T_MAX / sizeof(PyObject *)) {
174
92.8M
        target_bytes = new_allocated * sizeof(PyObject *);
175
92.8M
        items = (PyObject **)PyMem_Realloc(self->ob_item, target_bytes);
176
92.8M
    }
177
0
    else {
178
        // integer overflow
179
0
        items = NULL;
180
0
    }
181
92.8M
    if (items == NULL) {
182
0
        if (newsize < allocated) {
183
            // Never fail when shrinking allocations
184
0
            Py_SET_SIZE(self, newsize);
185
0
            return 0;
186
0
        }
187
0
        PyErr_NoMemory();
188
0
        return -1;
189
0
    }
190
92.8M
    self->ob_item = items;
191
92.8M
    Py_SET_SIZE(self, newsize);
192
92.8M
    self->allocated = new_allocated;
193
92.8M
#endif
194
92.8M
    return 0;
195
92.8M
}
196
197
static int
198
list_preallocate_exact(PyListObject *self, Py_ssize_t size)
199
6.78M
{
200
6.78M
    PyObject **items;
201
6.78M
    assert(self->ob_item == NULL);
202
6.78M
    assert(size > 0);
203
204
    /* Since the Python memory allocator has granularity of 16 bytes on 64-bit
205
     * platforms (8 on 32-bit), there is no benefit of allocating space for
206
     * the odd number of items, and there is no drawback of rounding the
207
     * allocated size up to the nearest even number.
208
     */
209
6.78M
    size = (size + 1) & ~(size_t)1;
210
#ifdef Py_GIL_DISABLED
211
    _PyListArray *array = list_allocate_array(size);
212
    if (array == NULL) {
213
        PyErr_NoMemory();
214
        return -1;
215
    }
216
    items = array->ob_item;
217
    memset(items, 0, size * sizeof(PyObject *));
218
#else
219
6.78M
    items = PyMem_New(PyObject*, size);
220
6.78M
    if (items == NULL) {
221
0
        PyErr_NoMemory();
222
0
        return -1;
223
0
    }
224
6.78M
#endif
225
6.78M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, items);
226
6.78M
    self->allocated = size;
227
6.78M
    return 0;
228
6.78M
}
229
230
/* Print summary info about the state of the optimized allocator */
231
void
232
_PyList_DebugMallocStats(FILE *out)
233
0
{
234
0
    _PyDebugAllocatorStats(out,
235
0
                           "free PyListObject",
236
0
                            _Py_FREELIST_SIZE(lists),
237
0
                           _PyType_PreHeaderSize(&PyList_Type) + sizeof(PyListObject));
238
0
}
239
240
PyObject *
241
PyList_New(Py_ssize_t size)
242
210M
{
243
210M
    if (size < 0) {
244
0
        PyErr_BadInternalCall();
245
0
        return NULL;
246
0
    }
247
248
210M
    PyListObject *op = _Py_FREELIST_POP(PyListObject, lists);
249
210M
    if (op == NULL) {
250
42.1M
        op = PyObject_GC_New(PyListObject, &PyList_Type);
251
42.1M
        if (op == NULL) {
252
0
            return NULL;
253
0
        }
254
42.1M
    }
255
210M
    if (size <= 0) {
256
170M
        op->ob_item = NULL;
257
170M
    }
258
39.8M
    else {
259
#ifdef Py_GIL_DISABLED
260
        _PyListArray *array = list_allocate_array(size);
261
        if (array == NULL) {
262
            Py_DECREF(op);
263
            return PyErr_NoMemory();
264
        }
265
        memset(&array->ob_item, 0, size * sizeof(PyObject *));
266
        op->ob_item = array->ob_item;
267
#else
268
39.8M
        op->ob_item = (PyObject **) PyMem_Calloc(size, sizeof(PyObject *));
269
39.8M
#endif
270
39.8M
        if (op->ob_item == NULL) {
271
0
            Py_DECREF(op);
272
0
            return PyErr_NoMemory();
273
0
        }
274
39.8M
    }
275
210M
    Py_SET_SIZE(op, size);
276
210M
    op->allocated = size;
277
210M
    _PyObject_GC_TRACK(op);
278
210M
    return (PyObject *) op;
279
210M
}
280
281
static PyObject *
282
list_new_prealloc(Py_ssize_t size)
283
15.0M
{
284
15.0M
    assert(size > 0);
285
15.0M
    PyListObject *op = (PyListObject *) PyList_New(0);
286
15.0M
    if (op == NULL) {
287
0
        return NULL;
288
0
    }
289
15.0M
    assert(op->ob_item == NULL);
290
#ifdef Py_GIL_DISABLED
291
    _PyListArray *array = list_allocate_array(size);
292
    if (array == NULL) {
293
        Py_DECREF(op);
294
        return PyErr_NoMemory();
295
    }
296
    op->ob_item = array->ob_item;
297
#else
298
15.0M
    op->ob_item = PyMem_New(PyObject *, size);
299
15.0M
    if (op->ob_item == NULL) {
300
0
        Py_DECREF(op);
301
0
        return PyErr_NoMemory();
302
0
    }
303
15.0M
#endif
304
15.0M
    op->allocated = size;
305
15.0M
    return (PyObject *) op;
306
15.0M
}
307
308
Py_ssize_t
309
PyList_Size(PyObject *op)
310
71.0k
{
311
71.0k
    if (!PyList_Check(op)) {
312
0
        PyErr_BadInternalCall();
313
0
        return -1;
314
0
    }
315
71.0k
    else {
316
71.0k
        return PyList_GET_SIZE(op);
317
71.0k
    }
318
71.0k
}
319
320
static inline int
321
valid_index(Py_ssize_t i, Py_ssize_t limit)
322
229M
{
323
    /* The cast to size_t lets us use just a single comparison
324
       to check whether i is in the range: 0 <= i < limit.
325
326
       See:  Section 14.2 "Bounds Checking" in the Agner Fog
327
       optimization manual found at:
328
       https://www.agner.org/optimize/optimizing_cpp.pdf
329
    */
330
229M
    return (size_t) i < (size_t) limit;
331
229M
}
332
333
#ifdef Py_GIL_DISABLED
334
335
static PyObject *
336
list_item_impl(PyListObject *self, Py_ssize_t idx)
337
{
338
    PyObject *item = NULL;
339
    Py_BEGIN_CRITICAL_SECTION(self);
340
    if (!_PyObject_GC_IS_SHARED(self)) {
341
        _PyObject_GC_SET_SHARED(self);
342
    }
343
    Py_ssize_t size = Py_SIZE(self);
344
    if (!valid_index(idx, size)) {
345
        goto exit;
346
    }
347
    item = _Py_NewRefWithLock(self->ob_item[idx]);
348
exit:
349
    Py_END_CRITICAL_SECTION();
350
    return item;
351
}
352
353
static inline PyObject*
354
list_get_item_ref(PyListObject *op, Py_ssize_t i)
355
{
356
    if (!_Py_IsOwnedByCurrentThread((PyObject *)op) && !_PyObject_GC_IS_SHARED(op)) {
357
        return list_item_impl(op, i);
358
    }
359
    // Need atomic operation for the getting size.
360
    Py_ssize_t size = PyList_GET_SIZE(op);
361
    if (!valid_index(i, size)) {
362
        return NULL;
363
    }
364
    PyObject **ob_item = _Py_atomic_load_ptr(&op->ob_item);
365
    if (ob_item == NULL) {
366
        return NULL;
367
    }
368
    Py_ssize_t cap = list_capacity(ob_item);
369
    assert(cap != -1);
370
    if (!valid_index(i, cap)) {
371
        return NULL;
372
    }
373
    PyObject *item = _Py_TryXGetRef(&ob_item[i]);
374
    if (item == NULL) {
375
        return list_item_impl(op, i);
376
    }
377
    return item;
378
}
379
#else
380
static inline PyObject*
381
list_get_item_ref(PyListObject *op, Py_ssize_t i)
382
162M
{
383
162M
    if (!valid_index(i, Py_SIZE(op))) {
384
27.2M
        return NULL;
385
27.2M
    }
386
135M
    return Py_NewRef(PyList_GET_ITEM(op, i));
387
162M
}
388
#endif
389
390
PyObject *
391
PyList_GetItem(PyObject *op, Py_ssize_t i)
392
142
{
393
142
    if (!PyList_Check(op)) {
394
0
        PyErr_BadInternalCall();
395
0
        return NULL;
396
0
    }
397
142
    if (!valid_index(i, Py_SIZE(op))) {
398
0
        _Py_DECLARE_STR(list_err, "list index out of range");
399
0
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
400
0
        return NULL;
401
0
    }
402
142
    return ((PyListObject *)op) -> ob_item[i];
403
142
}
404
405
PyObject *
406
PyList_GetItemRef(PyObject *op, Py_ssize_t i)
407
65.7k
{
408
65.7k
    if (!PyList_Check(op)) {
409
0
        PyErr_SetString(PyExc_TypeError, "expected a list");
410
0
        return NULL;
411
0
    }
412
65.7k
    PyObject *item = list_get_item_ref((PyListObject *)op, i);
413
65.7k
    if (item == NULL) {
414
0
        _Py_DECLARE_STR(list_err, "list index out of range");
415
0
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
416
0
        return NULL;
417
0
    }
418
65.7k
    return item;
419
65.7k
}
420
421
PyObject *
422
_PyList_GetItemRef(PyListObject *list, Py_ssize_t i)
423
0
{
424
0
    return list_get_item_ref(list, i);
425
0
}
426
427
#ifdef Py_GIL_DISABLED
428
int
429
_PyList_GetItemRefNoLock(PyListObject *list, Py_ssize_t i, _PyStackRef *result)
430
{
431
    assert(_Py_IsOwnedByCurrentThread((PyObject *)list) ||
432
           _PyObject_GC_IS_SHARED(list));
433
    if (!valid_index(i, PyList_GET_SIZE(list))) {
434
        return 0;
435
    }
436
    PyObject **ob_item = _Py_atomic_load_ptr(&list->ob_item);
437
    if (ob_item == NULL) {
438
        return 0;
439
    }
440
    Py_ssize_t cap = list_capacity(ob_item);
441
    assert(cap != -1);
442
    if (!valid_index(i, cap)) {
443
        return 0;
444
    }
445
    PyObject *obj = _Py_atomic_load_ptr(&ob_item[i]);
446
    if (obj == NULL || !_Py_TryIncrefCompareStackRef(&ob_item[i], obj, result)) {
447
        return -1;
448
    }
449
    return 1;
450
}
451
#endif
452
453
int
454
PyList_SetItem(PyObject *op, Py_ssize_t i,
455
               PyObject *newitem)
456
14.9M
{
457
14.9M
    if (!PyList_Check(op)) {
458
0
        Py_XDECREF(newitem);
459
0
        PyErr_BadInternalCall();
460
0
        return -1;
461
0
    }
462
14.9M
    int ret;
463
14.9M
    PyListObject *self = ((PyListObject *)op);
464
14.9M
    Py_BEGIN_CRITICAL_SECTION(self);
465
14.9M
    if (!valid_index(i, Py_SIZE(self))) {
466
0
        Py_XDECREF(newitem);
467
0
        PyErr_SetString(PyExc_IndexError,
468
0
                        "list assignment index out of range");
469
0
        ret = -1;
470
0
        goto end;
471
0
    }
472
14.9M
    PyObject *tmp = self->ob_item[i];
473
14.9M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[i], newitem);
474
14.9M
    Py_XDECREF(tmp);
475
14.9M
    ret = 0;
476
14.9M
end:;
477
14.9M
    Py_END_CRITICAL_SECTION();
478
14.9M
    return ret;
479
14.9M
}
480
481
static int
482
ins1(PyListObject *self, Py_ssize_t where, PyObject *v)
483
1.61k
{
484
1.61k
    Py_ssize_t i, n = Py_SIZE(self);
485
1.61k
    PyObject **items;
486
1.61k
    if (v == NULL) {
487
0
        PyErr_BadInternalCall();
488
0
        return -1;
489
0
    }
490
491
1.61k
    assert((size_t)n + 1 < PY_SSIZE_T_MAX);
492
1.61k
    if (list_resize(self, n+1) < 0)
493
0
        return -1;
494
495
1.61k
    if (where < 0) {
496
0
        where += n;
497
0
        if (where < 0)
498
0
            where = 0;
499
0
    }
500
1.61k
    if (where > n)
501
0
        where = n;
502
1.61k
    items = self->ob_item;
503
11.2k
    for (i = n; --i >= where; )
504
9.62k
        FT_ATOMIC_STORE_PTR_RELEASE(items[i+1], items[i]);
505
1.61k
    FT_ATOMIC_STORE_PTR_RELEASE(items[where], Py_NewRef(v));
506
1.61k
    return 0;
507
1.61k
}
508
509
int
510
PyList_Insert(PyObject *op, Py_ssize_t where, PyObject *newitem)
511
43
{
512
43
    if (!PyList_Check(op)) {
513
0
        PyErr_BadInternalCall();
514
0
        return -1;
515
0
    }
516
43
    PyListObject *self = (PyListObject *)op;
517
43
    int err;
518
43
    Py_BEGIN_CRITICAL_SECTION(self);
519
43
    err = ins1(self, where, newitem);
520
43
    Py_END_CRITICAL_SECTION();
521
43
    return err;
522
43
}
523
524
/* internal, used by _PyList_AppendTakeRef */
525
int
526
_PyList_AppendTakeRefListResize(PyListObject *self, PyObject *newitem)
527
70.4M
{
528
70.4M
    Py_ssize_t len = Py_SIZE(self);
529
70.4M
    assert(self->allocated == -1 || self->allocated == len);
530
70.4M
    if (list_resize(self, len + 1) < 0) {
531
0
        Py_DECREF(newitem);
532
0
        return -1;
533
0
    }
534
70.4M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[len], newitem);
535
70.4M
    return 0;
536
70.4M
}
537
538
int
539
PyList_Append(PyObject *op, PyObject *newitem)
540
211M
{
541
211M
    if (PyList_Check(op) && (newitem != NULL)) {
542
211M
        int ret;
543
211M
        Py_BEGIN_CRITICAL_SECTION(op);
544
211M
        ret = _PyList_AppendTakeRef((PyListObject *)op, Py_NewRef(newitem));
545
211M
        Py_END_CRITICAL_SECTION();
546
211M
        return ret;
547
211M
    }
548
0
    PyErr_BadInternalCall();
549
0
    return -1;
550
211M
}
551
552
/* Methods */
553
554
static void
555
list_dealloc(PyObject *self)
556
229M
{
557
229M
    PyListObject *op = (PyListObject *)self;
558
229M
    Py_ssize_t i;
559
229M
    PyObject_GC_UnTrack(op);
560
229M
    if (op->ob_item != NULL) {
561
        /* Do it backwards, for Christian Tismer.
562
           There's a simple test case where somehow this reduces
563
           thrashing when a *very* large list is created and
564
           immediately deleted. */
565
116M
        i = Py_SIZE(op);
566
1.58G
        while (--i >= 0) {
567
1.46G
            Py_XDECREF(op->ob_item[i]);
568
1.46G
        }
569
116M
        free_list_items(op->ob_item, false);
570
116M
        op->ob_item = NULL;
571
116M
    }
572
229M
    if (PyList_CheckExact(op)) {
573
219M
        _Py_FREELIST_FREE(lists, op, PyObject_GC_Del);
574
219M
    }
575
9.38M
    else {
576
9.38M
        PyObject_GC_Del(op);
577
9.38M
    }
578
229M
}
579
580
static PyObject *
581
list_repr_impl(PyListObject *v)
582
3.23M
{
583
3.23M
    int res = Py_ReprEnter((PyObject*)v);
584
3.23M
    if (res != 0) {
585
0
        return (res > 0 ? PyUnicode_FromString("[...]") : NULL);
586
0
    }
587
588
    /* "[" + "1" + ", 2" * (len - 1) + "]" */
589
3.23M
    Py_ssize_t prealloc = 1 + 1 + (2 + 1) * (Py_SIZE(v) - 1) + 1;
590
3.23M
    PyUnicodeWriter *writer = PyUnicodeWriter_Create(prealloc);
591
3.23M
    PyObject *item = NULL;
592
3.23M
    if (writer == NULL) {
593
0
        goto error;
594
0
    }
595
596
3.23M
    if (PyUnicodeWriter_WriteChar(writer, '[') < 0) {
597
0
        goto error;
598
0
    }
599
600
    /* Do repr() on each element.  Note that this may mutate the list,
601
       so must refetch the list size on each iteration. */
602
9.96M
    for (Py_ssize_t i = 0; i < Py_SIZE(v); ++i) {
603
        /* Hold a strong reference since repr(item) can mutate the list */
604
6.73M
        item = Py_XNewRef(v->ob_item[i]);
605
606
6.73M
        if (i > 0) {
607
3.50M
            if (PyUnicodeWriter_WriteChar(writer, ',') < 0) {
608
0
                goto error;
609
0
            }
610
3.50M
            if (PyUnicodeWriter_WriteChar(writer, ' ') < 0) {
611
0
                goto error;
612
0
            }
613
3.50M
        }
614
615
6.73M
        if (PyUnicodeWriter_WriteRepr(writer, item) < 0) {
616
0
            goto error;
617
0
        }
618
6.73M
        Py_CLEAR(item);
619
6.73M
    }
620
621
3.23M
    if (PyUnicodeWriter_WriteChar(writer, ']') < 0) {
622
0
        goto error;
623
0
    }
624
625
3.23M
    Py_ReprLeave((PyObject *)v);
626
3.23M
    return PyUnicodeWriter_Finish(writer);
627
628
0
error:
629
0
    Py_XDECREF(item);
630
0
    PyUnicodeWriter_Discard(writer);
631
0
    Py_ReprLeave((PyObject *)v);
632
0
    return NULL;
633
3.23M
}
634
635
static PyObject *
636
list_repr(PyObject *self)
637
3.33M
{
638
3.33M
    if (PyList_GET_SIZE(self) == 0) {
639
107k
        return PyUnicode_FromString("[]");
640
107k
    }
641
3.23M
    PyListObject *v = (PyListObject *)self;
642
3.23M
    PyObject *ret = NULL;
643
3.23M
    Py_BEGIN_CRITICAL_SECTION(v);
644
3.23M
    ret = list_repr_impl(v);
645
3.23M
    Py_END_CRITICAL_SECTION();
646
3.23M
    return ret;
647
3.33M
}
648
649
static Py_ssize_t
650
list_length(PyObject *a)
651
45.4M
{
652
45.4M
    return PyList_GET_SIZE(a);
653
45.4M
}
654
655
static int
656
list_contains(PyObject *aa, PyObject *el)
657
8.05k
{
658
659
63.2k
    for (Py_ssize_t i = 0; ; i++) {
660
63.2k
        PyObject *item = list_get_item_ref((PyListObject *)aa, i);
661
63.2k
        if (item == NULL) {
662
            // out-of-bounds
663
6.31k
            return 0;
664
6.31k
        }
665
56.9k
        int cmp = PyObject_RichCompareBool(item, el, Py_EQ);
666
56.9k
        Py_DECREF(item);
667
56.9k
        if (cmp != 0) {
668
1.74k
            return cmp;
669
1.74k
        }
670
56.9k
    }
671
0
    return 0;
672
8.05k
}
673
674
static PyObject *
675
list_item(PyObject *aa, Py_ssize_t i)
676
25.2M
{
677
25.2M
    PyListObject *a = (PyListObject *)aa;
678
25.2M
    if (!valid_index(i, PyList_GET_SIZE(a))) {
679
2.38M
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
680
2.38M
        return NULL;
681
2.38M
    }
682
22.8M
    PyObject *item;
683
#ifdef Py_GIL_DISABLED
684
    item = list_get_item_ref(a, i);
685
    if (item == NULL) {
686
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
687
        return NULL;
688
    }
689
#else
690
22.8M
    item = Py_NewRef(a->ob_item[i]);
691
22.8M
#endif
692
22.8M
    return item;
693
25.2M
}
694
695
static PyObject *
696
list_slice_lock_held(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh)
697
3.03M
{
698
3.03M
    PyListObject *np;
699
3.03M
    PyObject **src, **dest;
700
3.03M
    Py_ssize_t i, len;
701
3.03M
    len = ihigh - ilow;
702
3.03M
    if (len <= 0) {
703
1.68k
        return PyList_New(0);
704
1.68k
    }
705
3.03M
    np = (PyListObject *) list_new_prealloc(len);
706
3.03M
    if (np == NULL)
707
0
        return NULL;
708
709
3.03M
    src = a->ob_item + ilow;
710
3.03M
    dest = np->ob_item;
711
17.8M
    for (i = 0; i < len; i++) {
712
14.7M
        PyObject *v = src[i];
713
14.7M
        dest[i] = Py_NewRef(v);
714
14.7M
    }
715
3.03M
    Py_SET_SIZE(np, len);
716
3.03M
    return (PyObject *)np;
717
3.03M
}
718
719
PyObject *
720
_PyList_BinarySlice(PyObject *container, PyObject *start, PyObject *stop)
721
113k
{
722
113k
    assert(PyList_CheckExact(container));
723
113k
    Py_ssize_t istart = 0;
724
113k
    Py_ssize_t istop = PY_SSIZE_T_MAX;
725
    /* Unpack the index values before acquiring the lock, since
726
     * _PyEval_SliceIndex may call __index__ which could execute
727
     * arbitrary Python code. */
728
113k
    if (!_PyEval_SliceIndex(start, &istart)) {
729
0
        return NULL;
730
0
    }
731
113k
    if (!_PyEval_SliceIndex(stop, &istop)) {
732
0
        return NULL;
733
0
    }
734
113k
    PyObject *ret;
735
113k
    Py_BEGIN_CRITICAL_SECTION(container);
736
113k
    Py_ssize_t len = Py_SIZE(container);
737
113k
    PySlice_AdjustIndices(len, &istart, &istop, 1);
738
113k
    ret = list_slice_lock_held((PyListObject *)container, istart, istop);
739
113k
    Py_END_CRITICAL_SECTION();
740
113k
    return ret;
741
113k
}
742
743
PyObject *
744
PyList_GetSlice(PyObject *a, Py_ssize_t ilow, Py_ssize_t ihigh)
745
0
{
746
0
    if (!PyList_Check(a)) {
747
0
        PyErr_BadInternalCall();
748
0
        return NULL;
749
0
    }
750
0
    PyObject *ret;
751
0
    Py_BEGIN_CRITICAL_SECTION(a);
752
0
    if (ilow < 0) {
753
0
        ilow = 0;
754
0
    }
755
0
    else if (ilow > Py_SIZE(a)) {
756
0
        ilow = Py_SIZE(a);
757
0
    }
758
0
    if (ihigh < ilow) {
759
0
        ihigh = ilow;
760
0
    }
761
0
    else if (ihigh > Py_SIZE(a)) {
762
0
        ihigh = Py_SIZE(a);
763
0
    }
764
0
    ret = list_slice_lock_held((PyListObject *)a, ilow, ihigh);
765
0
    Py_END_CRITICAL_SECTION();
766
0
    return ret;
767
0
}
768
769
static PyObject *
770
list_concat_lock_held(PyListObject *a, PyListObject *b)
771
18.2M
{
772
18.2M
    Py_ssize_t size;
773
18.2M
    Py_ssize_t i;
774
18.2M
    PyObject **src, **dest;
775
18.2M
    PyListObject *np;
776
18.2M
    assert((size_t)Py_SIZE(a) + (size_t)Py_SIZE(b) < PY_SSIZE_T_MAX);
777
18.2M
    size = Py_SIZE(a) + Py_SIZE(b);
778
18.2M
    if (size == 0) {
779
6.25M
        return PyList_New(0);
780
6.25M
    }
781
11.9M
    np = (PyListObject *) list_new_prealloc(size);
782
11.9M
    if (np == NULL) {
783
0
        return NULL;
784
0
    }
785
11.9M
    src = a->ob_item;
786
11.9M
    dest = np->ob_item;
787
409M
    for (i = 0; i < Py_SIZE(a); i++) {
788
397M
        PyObject *v = src[i];
789
397M
        dest[i] = Py_NewRef(v);
790
397M
    }
791
11.9M
    src = b->ob_item;
792
11.9M
    dest = np->ob_item + Py_SIZE(a);
793
230M
    for (i = 0; i < Py_SIZE(b); i++) {
794
218M
        PyObject *v = src[i];
795
218M
        dest[i] = Py_NewRef(v);
796
218M
    }
797
11.9M
    Py_SET_SIZE(np, size);
798
11.9M
    return (PyObject *)np;
799
11.9M
}
800
801
PyObject *
802
_PyList_Concat(PyObject *aa, PyObject *bb)
803
18.2M
{
804
18.2M
    if (!PyList_Check(bb)) {
805
0
        PyErr_Format(PyExc_TypeError,
806
0
                  "can only concatenate list (not \"%.200s\") to list",
807
0
                  Py_TYPE(bb)->tp_name);
808
0
        return NULL;
809
0
    }
810
18.2M
    PyListObject *a = (PyListObject *)aa;
811
18.2M
    PyListObject *b = (PyListObject *)bb;
812
18.2M
    PyObject *ret;
813
18.2M
    Py_BEGIN_CRITICAL_SECTION2(a, b);
814
18.2M
    ret = list_concat_lock_held(a, b);
815
18.2M
    Py_END_CRITICAL_SECTION2();
816
18.2M
    return ret;
817
18.2M
}
818
819
static PyObject *
820
list_repeat_lock_held(PyListObject *a, Py_ssize_t n)
821
23.7k
{
822
23.7k
    const Py_ssize_t input_size = Py_SIZE(a);
823
23.7k
    if (input_size == 0 || n <= 0)
824
1.76k
        return PyList_New(0);
825
23.7k
    assert(n > 0);
826
827
22.0k
    if (input_size > PY_SSIZE_T_MAX / n)
828
0
        return PyErr_NoMemory();
829
22.0k
    Py_ssize_t output_size = input_size * n;
830
831
22.0k
    PyListObject *np = (PyListObject *) list_new_prealloc(output_size);
832
22.0k
    if (np == NULL)
833
0
        return NULL;
834
835
22.0k
    PyObject **dest = np->ob_item;
836
22.0k
    if (input_size == 1) {
837
22.0k
        PyObject *elem = a->ob_item[0];
838
22.0k
        _Py_RefcntAdd(elem, n);
839
22.0k
        PyObject **dest_end = dest + output_size;
840
9.82M
        while (dest < dest_end) {
841
9.79M
            *dest++ = elem;
842
9.79M
        }
843
22.0k
    }
844
0
    else {
845
0
        PyObject **src = a->ob_item;
846
0
        PyObject **src_end = src + input_size;
847
0
        while (src < src_end) {
848
0
            _Py_RefcntAdd(*src, n);
849
0
            *dest++ = *src++;
850
0
        }
851
        // This list is not yet visible to other threads, so atomic repeat
852
        // is not necessary even in Py_GIL_DISABLED builds.
853
0
        _Py_memory_repeat((char *)np->ob_item, sizeof(PyObject *)*output_size,
854
0
                                        sizeof(PyObject *)*input_size);
855
0
    }
856
857
22.0k
    Py_SET_SIZE(np, output_size);
858
22.0k
    return (PyObject *) np;
859
22.0k
}
860
861
static PyObject *
862
list_repeat(PyObject *aa, Py_ssize_t n)
863
23.7k
{
864
23.7k
    PyObject *ret;
865
23.7k
    PyListObject *a = (PyListObject *)aa;
866
23.7k
    Py_BEGIN_CRITICAL_SECTION(a);
867
23.7k
    ret = list_repeat_lock_held(a, n);
868
23.7k
    Py_END_CRITICAL_SECTION();
869
23.7k
    return ret;
870
23.7k
}
871
872
static void
873
list_clear_impl(PyListObject *a, bool is_resize)
874
8.89M
{
875
8.89M
    PyObject **items = a->ob_item;
876
8.89M
    if (items == NULL) {
877
68
        return;
878
68
    }
879
880
    /* Because XDECREF can recursively invoke operations on
881
       this list, we make it empty first. */
882
8.89M
    Py_ssize_t i = Py_SIZE(a);
883
8.89M
    Py_SET_SIZE(a, 0);
884
8.89M
    FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item, NULL);
885
8.89M
    a->allocated = 0;
886
17.8M
    while (--i >= 0) {
887
8.99M
        Py_XDECREF(items[i]);
888
8.99M
    }
889
#ifdef Py_GIL_DISABLED
890
    if (is_resize) {
891
        ensure_shared_on_resize(a);
892
    }
893
    bool use_qsbr = is_resize && _PyObject_GC_IS_SHARED(a);
894
#else
895
8.89M
    bool use_qsbr = false;
896
8.89M
#endif
897
8.89M
    free_list_items(items, use_qsbr);
898
    // Note that there is no guarantee that the list is actually empty
899
    // at this point, because XDECREF may have populated it indirectly again!
900
8.89M
}
901
902
static void
903
list_clear(PyListObject *a)
904
8.89M
{
905
8.89M
    list_clear_impl(a, true);
906
8.89M
}
907
908
static int
909
list_clear_slot(PyObject *self)
910
0
{
911
0
    list_clear_impl((PyListObject *)self, false);
912
0
    return 0;
913
0
}
914
915
// Pointer-by-pointer memmove for PyObject** arrays that is safe
916
// for shared lists in Py_GIL_DISABLED builds.
917
static void
918
ptr_wise_atomic_memmove(PyListObject *a, PyObject **dest, PyObject **src, Py_ssize_t n)
919
6.62M
{
920
6.62M
#ifndef Py_GIL_DISABLED
921
6.62M
    memmove(dest, src, n * sizeof(PyObject *));
922
#else
923
    _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED(a);
924
    if (_Py_IsOwnedByCurrentThread((PyObject *)a) && !_PyObject_GC_IS_SHARED(a)) {
925
        // No other threads can read this list concurrently
926
        memmove(dest, src, n * sizeof(PyObject *));
927
        return;
928
    }
929
    if (dest < src) {
930
        for (Py_ssize_t i = 0; i != n; i++) {
931
            _Py_atomic_store_ptr_release(&dest[i], src[i]);
932
        }
933
    }
934
    else {
935
        // copy backwards to avoid overwriting src before it's read
936
        for (Py_ssize_t i = n; i != 0; i--) {
937
            _Py_atomic_store_ptr_release(&dest[i - 1], src[i - 1]);
938
        }
939
    }
940
#endif
941
6.62M
}
942
943
/* a[ilow:ihigh] = v if v != NULL.
944
 * del a[ilow:ihigh] if v == NULL.
945
 *
946
 * Special speed gimmick:  when v is NULL and ihigh - ilow <= 8, it's
947
 * guaranteed the call cannot fail.
948
 */
949
static int
950
list_ass_slice_lock_held(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
951
4.77M
{
952
    /* Because [X]DECREF can recursively invoke list operations on
953
       this list, we must postpone all [X]DECREF activity until
954
       after the list is back in its canonical shape.  Therefore
955
       we must allocate an additional array, 'recycle', into which
956
       we temporarily copy the items that are deleted from the
957
       list. :-( */
958
4.77M
    PyObject *recycle_on_stack[8];
959
4.77M
    PyObject **recycle = recycle_on_stack; /* will allocate more if needed */
960
4.77M
    PyObject **item;
961
4.77M
    PyObject **vitem = NULL;
962
4.77M
    PyObject *v_as_SF = NULL; /* PySequence_Fast(v) */
963
4.77M
    Py_ssize_t n; /* # of elements in replacement list */
964
4.77M
    Py_ssize_t norig; /* # of elements in list getting replaced */
965
4.77M
    Py_ssize_t d; /* Change in size */
966
4.77M
    Py_ssize_t k;
967
4.77M
    size_t s;
968
4.77M
    int result = -1;            /* guilty until proved innocent */
969
4.77M
#define b ((PyListObject *)v)
970
4.77M
    if (v == NULL)
971
3.34M
        n = 0;
972
1.43M
    else {
973
1.43M
        v_as_SF = PySequence_Fast(v, "can only assign an iterable");
974
1.43M
        if(v_as_SF == NULL)
975
0
            goto Error;
976
1.43M
        n = PySequence_Fast_GET_SIZE(v_as_SF);
977
1.43M
        vitem = PySequence_Fast_ITEMS(v_as_SF);
978
1.43M
    }
979
4.77M
    if (ilow < 0)
980
0
        ilow = 0;
981
4.77M
    else if (ilow > Py_SIZE(a))
982
1.15M
        ilow = Py_SIZE(a);
983
984
4.77M
    if (ihigh < ilow)
985
0
        ihigh = ilow;
986
4.77M
    else if (ihigh > Py_SIZE(a))
987
1.15M
        ihigh = Py_SIZE(a);
988
989
4.77M
    norig = ihigh - ilow;
990
4.77M
    assert(norig >= 0);
991
4.77M
    d = n - norig;
992
4.77M
    if (Py_SIZE(a) + d == 0) {
993
588k
        Py_XDECREF(v_as_SF);
994
588k
        list_clear(a);
995
588k
        return 0;
996
588k
    }
997
4.19M
    item = a->ob_item;
998
    /* recycle the items that we are about to remove */
999
4.19M
    s = norig * sizeof(PyObject *);
1000
    /* If norig == 0, item might be NULL, in which case we may not memcpy from it. */
1001
4.19M
    if (s) {
1002
2.77M
        if (s > sizeof(recycle_on_stack)) {
1003
79
            recycle = (PyObject **)PyMem_Malloc(s);
1004
79
            if (recycle == NULL) {
1005
0
                PyErr_NoMemory();
1006
0
                goto Error;
1007
0
            }
1008
79
        }
1009
2.77M
        memcpy(recycle, &item[ilow], s);
1010
2.77M
    }
1011
1012
4.19M
    if (d < 0) { /* Delete -d items */
1013
2.77M
        Py_ssize_t tail = Py_SIZE(a) - ihigh;
1014
2.77M
        ptr_wise_atomic_memmove(a, &item[ihigh+d], &item[ihigh], tail);
1015
2.77M
        (void)list_resize(a, Py_SIZE(a) + d); // NB: shrinking a list can't fail
1016
2.77M
        item = a->ob_item;
1017
2.77M
    }
1018
1.41M
    else if (d > 0) { /* Insert d items */
1019
1.41M
        k = Py_SIZE(a);
1020
1.41M
        if (list_resize(a, k+d) < 0)
1021
0
            goto Error;
1022
1.41M
        item = a->ob_item;
1023
1.41M
        ptr_wise_atomic_memmove(a, &item[ihigh+d], &item[ihigh], k - ihigh);
1024
1.41M
    }
1025
60.3M
    for (k = 0; k < n; k++, ilow++) {
1026
56.2M
        PyObject *w = vitem[k];
1027
56.2M
        FT_ATOMIC_STORE_PTR_RELEASE(item[ilow], Py_XNewRef(w));
1028
56.2M
    }
1029
6.97M
    for (k = norig - 1; k >= 0; --k)
1030
2.78M
        Py_XDECREF(recycle[k]);
1031
4.19M
    result = 0;
1032
4.19M
 Error:
1033
4.19M
    if (recycle != recycle_on_stack)
1034
79
        PyMem_Free(recycle);
1035
4.19M
    Py_XDECREF(v_as_SF);
1036
4.19M
    return result;
1037
4.19M
#undef b
1038
4.19M
}
1039
1040
static int
1041
list_ass_slice(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
1042
4.48M
{
1043
4.48M
    int ret;
1044
4.48M
    if (a == (PyListObject *)v) {
1045
0
        Py_BEGIN_CRITICAL_SECTION(a);
1046
0
        Py_ssize_t n = PyList_GET_SIZE(a);
1047
0
        PyObject *copy = list_slice_lock_held(a, 0, n);
1048
0
        if (copy == NULL) {
1049
0
            ret = -1;
1050
0
        }
1051
0
        else {
1052
0
            ret = list_ass_slice_lock_held(a, ilow, ihigh, copy);
1053
0
            Py_DECREF(copy);
1054
0
        }
1055
0
        Py_END_CRITICAL_SECTION();
1056
0
    }
1057
4.48M
    else if (v != NULL && PyList_CheckExact(v)) {
1058
380k
        Py_BEGIN_CRITICAL_SECTION2(a, v);
1059
380k
        ret = list_ass_slice_lock_held(a, ilow, ihigh, v);
1060
380k
        Py_END_CRITICAL_SECTION2();
1061
380k
    }
1062
4.10M
    else {
1063
4.10M
        Py_BEGIN_CRITICAL_SECTION(a);
1064
4.10M
        ret = list_ass_slice_lock_held(a, ilow, ihigh, v);
1065
4.10M
        Py_END_CRITICAL_SECTION();
1066
4.10M
    }
1067
4.48M
    return ret;
1068
4.48M
}
1069
1070
int
1071
PyList_SetSlice(PyObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
1072
4.48M
{
1073
4.48M
    if (!PyList_Check(a)) {
1074
0
        PyErr_BadInternalCall();
1075
0
        return -1;
1076
0
    }
1077
4.48M
    return list_ass_slice((PyListObject *)a, ilow, ihigh, v);
1078
4.48M
}
1079
1080
static int
1081
list_inplace_repeat_lock_held(PyListObject *self, Py_ssize_t n)
1082
0
{
1083
0
    Py_ssize_t input_size = PyList_GET_SIZE(self);
1084
0
    if (input_size == 0 || n == 1) {
1085
0
        return 0;
1086
0
    }
1087
1088
0
    if (n < 1) {
1089
0
        list_clear(self);
1090
0
        return 0;
1091
0
    }
1092
1093
0
    if (input_size > PY_SSIZE_T_MAX / n) {
1094
0
        PyErr_NoMemory();
1095
0
        return -1;
1096
0
    }
1097
0
    Py_ssize_t output_size = input_size * n;
1098
1099
0
    if (list_resize(self, output_size) < 0) {
1100
0
        return -1;
1101
0
    }
1102
1103
0
    PyObject **items = self->ob_item;
1104
0
    for (Py_ssize_t j = 0; j < input_size; j++) {
1105
0
        _Py_RefcntAdd(items[j], n-1);
1106
0
    }
1107
0
#ifndef Py_GIL_DISABLED
1108
0
    _Py_memory_repeat((char *)items, sizeof(PyObject *)*output_size,
1109
0
                      sizeof(PyObject *)*input_size);
1110
#else
1111
    Py_ssize_t copied = input_size;
1112
    while (copied < output_size) {
1113
        Py_ssize_t items_to_copy = Py_MIN(copied, output_size - copied);
1114
        ptr_wise_atomic_memmove(self, items + copied, items, items_to_copy);
1115
        copied += items_to_copy;
1116
    }
1117
#endif
1118
0
    return 0;
1119
0
}
1120
1121
static PyObject *
1122
list_inplace_repeat(PyObject *_self, Py_ssize_t n)
1123
0
{
1124
0
    PyObject *ret;
1125
0
    PyListObject *self = (PyListObject *) _self;
1126
0
    Py_BEGIN_CRITICAL_SECTION(self);
1127
0
    if (list_inplace_repeat_lock_held(self, n) < 0) {
1128
0
        ret = NULL;
1129
0
    }
1130
0
    else {
1131
0
        ret = Py_NewRef(self);
1132
0
    }
1133
0
    Py_END_CRITICAL_SECTION();
1134
0
    return ret;
1135
0
}
1136
1137
static int
1138
list_ass_item_lock_held(PyListObject *a, Py_ssize_t i, PyObject *v)
1139
4.26M
{
1140
4.26M
    if (!valid_index(i, Py_SIZE(a))) {
1141
0
        PyErr_SetString(PyExc_IndexError,
1142
0
                        "list assignment index out of range");
1143
0
        return -1;
1144
0
    }
1145
4.26M
    PyObject *tmp = a->ob_item[i];
1146
4.26M
    if (v == NULL) {
1147
11.0k
        Py_ssize_t size = Py_SIZE(a);
1148
360k
        for (Py_ssize_t idx = i; idx < size - 1; idx++) {
1149
349k
            FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item[idx], a->ob_item[idx + 1]);
1150
349k
        }
1151
11.0k
        Py_SET_SIZE(a, size - 1);
1152
11.0k
    }
1153
4.25M
    else {
1154
4.25M
        FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item[i], Py_NewRef(v));
1155
4.25M
    }
1156
4.26M
    Py_DECREF(tmp);
1157
4.26M
    return 0;
1158
4.26M
}
1159
1160
static int
1161
list_ass_item(PyObject *aa, Py_ssize_t i, PyObject *v)
1162
4.58k
{
1163
4.58k
    int ret;
1164
4.58k
    PyListObject *a = (PyListObject *)aa;
1165
4.58k
    Py_BEGIN_CRITICAL_SECTION(a);
1166
4.58k
    ret = list_ass_item_lock_held(a, i, v);
1167
4.58k
    Py_END_CRITICAL_SECTION();
1168
4.58k
    return ret;
1169
4.58k
}
1170
1171
/*[clinic input]
1172
@critical_section
1173
list.insert
1174
1175
    index: Py_ssize_t
1176
    object: object
1177
    /
1178
1179
Insert object before index.
1180
[clinic start generated code]*/
1181
1182
static PyObject *
1183
list_insert_impl(PyListObject *self, Py_ssize_t index, PyObject *object)
1184
/*[clinic end generated code: output=7f35e32f60c8cb78 input=b1987ca998a4ae2d]*/
1185
1.56k
{
1186
1.56k
    if (ins1(self, index, object) == 0) {
1187
1.56k
        Py_RETURN_NONE;
1188
1.56k
    }
1189
0
    return NULL;
1190
1.56k
}
1191
1192
/*[clinic input]
1193
@critical_section
1194
list.clear as py_list_clear
1195
1196
Remove all items from list.
1197
[clinic start generated code]*/
1198
1199
static PyObject *
1200
py_list_clear_impl(PyListObject *self)
1201
/*[clinic end generated code: output=83726743807e3518 input=e285b7f09051a9ba]*/
1202
7.07k
{
1203
7.07k
    list_clear(self);
1204
7.07k
    Py_RETURN_NONE;
1205
7.07k
}
1206
1207
/*[clinic input]
1208
@critical_section
1209
list.copy
1210
1211
Return a shallow copy of the list.
1212
[clinic start generated code]*/
1213
1214
static PyObject *
1215
list_copy_impl(PyListObject *self)
1216
/*[clinic end generated code: output=ec6b72d6209d418e input=81c54b0c7bb4f73d]*/
1217
0
{
1218
0
    return list_slice_lock_held(self, 0, Py_SIZE(self));
1219
0
}
1220
1221
/*[clinic input]
1222
@critical_section
1223
list.append
1224
1225
     object: object
1226
     /
1227
1228
Append object to the end of the list.
1229
[clinic start generated code]*/
1230
1231
static PyObject *
1232
list_append_impl(PyListObject *self, PyObject *object)
1233
/*[clinic end generated code: output=78423561d92ed405 input=122b0853de54004f]*/
1234
119M
{
1235
119M
    if (_PyList_AppendTakeRef(self, Py_NewRef(object)) < 0) {
1236
0
        return NULL;
1237
0
    }
1238
119M
    Py_RETURN_NONE;
1239
119M
}
1240
1241
static int
1242
list_extend_fast(PyListObject *self, PyObject *iterable)
1243
16.2M
{
1244
16.2M
    Py_ssize_t n = PySequence_Fast_GET_SIZE(iterable);
1245
16.2M
    if (n == 0) {
1246
        /* short circuit when iterable is empty */
1247
8.43M
        return 0;
1248
8.43M
    }
1249
1250
7.80M
    Py_ssize_t m = Py_SIZE(self);
1251
    // It should not be possible to allocate a list large enough to cause
1252
    // an overflow on any relevant platform.
1253
7.80M
    assert(m < PY_SSIZE_T_MAX - n);
1254
7.80M
    if (self->ob_item == NULL) {
1255
1.24M
        if (list_preallocate_exact(self, n) < 0) {
1256
0
            return -1;
1257
0
        }
1258
1.24M
        Py_SET_SIZE(self, n);
1259
1.24M
    }
1260
6.56M
    else if (list_resize(self, m + n) < 0) {
1261
0
        return -1;
1262
0
    }
1263
1264
    // note that we may still have self == iterable here for the
1265
    // situation a.extend(a), but the following code works
1266
    // in that case too.  Just make sure to resize self
1267
    // before calling PySequence_Fast_ITEMS.
1268
    //
1269
    // populate the end of self with iterable's items.
1270
7.80M
    PyObject **src = PySequence_Fast_ITEMS(iterable);
1271
7.80M
    PyObject **dest = self->ob_item + m;
1272
48.2M
    for (Py_ssize_t i = 0; i < n; i++) {
1273
40.4M
        PyObject *o = src[i];
1274
40.4M
        FT_ATOMIC_STORE_PTR_RELEASE(dest[i], Py_NewRef(o));
1275
40.4M
    }
1276
7.80M
    return 0;
1277
7.80M
}
1278
1279
static int
1280
list_extend_iter_lock_held(PyListObject *self, PyObject *iterable)
1281
6.06M
{
1282
6.06M
    PyObject *it = PyObject_GetIter(iterable);
1283
6.06M
    if (it == NULL) {
1284
0
        return -1;
1285
0
    }
1286
6.06M
    PyObject *(*iternext)(PyObject *) = *Py_TYPE(it)->tp_iternext;
1287
1288
    /* Guess a result list size. */
1289
6.06M
    Py_ssize_t n = PyObject_LengthHint(iterable, 8);
1290
6.06M
    if (n < 0) {
1291
0
        Py_DECREF(it);
1292
0
        return -1;
1293
0
    }
1294
1295
6.06M
    Py_ssize_t m = Py_SIZE(self);
1296
6.06M
    if (m > PY_SSIZE_T_MAX - n) {
1297
        /* m + n overflowed; on the chance that n lied, and there really
1298
         * is enough room, ignore it.  If n was telling the truth, we'll
1299
         * eventually run out of memory during the loop.
1300
         */
1301
0
    }
1302
6.06M
    else if (self->ob_item == NULL) {
1303
5.80M
        if (n && list_preallocate_exact(self, n) < 0)
1304
0
            goto error;
1305
5.80M
    }
1306
252k
    else {
1307
        /* Make room. */
1308
252k
        if (list_resize(self, m + n) < 0) {
1309
0
            goto error;
1310
0
        }
1311
1312
        /* Make the list sane again. */
1313
252k
        Py_SET_SIZE(self, m);
1314
252k
    }
1315
1316
    /* Run iterator to exhaustion. */
1317
92.0M
    for (;;) {
1318
92.0M
        PyObject *item = iternext(it);
1319
92.0M
        if (item == NULL) {
1320
6.06M
            if (PyErr_Occurred()) {
1321
611
                if (PyErr_ExceptionMatches(PyExc_StopIteration))
1322
0
                    PyErr_Clear();
1323
611
                else
1324
611
                    goto error;
1325
611
            }
1326
6.06M
            break;
1327
6.06M
        }
1328
1329
86.0M
        if (Py_SIZE(self) < self->allocated) {
1330
85.2M
            Py_ssize_t len = Py_SIZE(self);
1331
85.2M
            FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[len], item);  // steals item ref
1332
85.2M
            Py_SET_SIZE(self, len + 1);
1333
85.2M
        }
1334
752k
        else {
1335
752k
            if (_PyList_AppendTakeRef(self, item) < 0)
1336
0
                goto error;
1337
752k
        }
1338
86.0M
    }
1339
1340
    /* Cut back result list if initial guess was too large. */
1341
6.06M
    if (Py_SIZE(self) < self->allocated) {
1342
4.09M
        if (list_resize(self, Py_SIZE(self)) < 0)
1343
0
            goto error;
1344
4.09M
    }
1345
1346
6.06M
    Py_DECREF(it);
1347
6.06M
    return 0;
1348
1349
611
  error:
1350
611
    Py_DECREF(it);
1351
611
    return -1;
1352
6.06M
}
1353
1354
static int
1355
list_extend_lock_held(PyListObject *self, PyObject *iterable)
1356
16.2M
{
1357
16.2M
    PyObject *seq = PySequence_Fast(iterable, "argument must be iterable");
1358
16.2M
    if (!seq) {
1359
0
        return -1;
1360
0
    }
1361
1362
16.2M
    int res = list_extend_fast(self, seq);
1363
16.2M
    Py_DECREF(seq);
1364
16.2M
    return res;
1365
16.2M
}
1366
1367
static int
1368
list_extend_set(PyListObject *self, PySetObject *other)
1369
270k
{
1370
270k
    Py_ssize_t m = Py_SIZE(self);
1371
270k
    Py_ssize_t n = PySet_GET_SIZE(other);
1372
270k
    Py_ssize_t r = m + n;
1373
270k
    if (r == 0) {
1374
683
        return 0;
1375
683
    }
1376
270k
    if (list_resize(self, r) < 0) {
1377
0
        return -1;
1378
0
    }
1379
1380
270k
    assert(self->ob_item != NULL);
1381
    /* populate the end of self with iterable's items */
1382
270k
    Py_ssize_t setpos = 0;
1383
270k
    Py_hash_t hash;
1384
270k
    PyObject *key;
1385
270k
    PyObject **dest = self->ob_item + m;
1386
1.33M
    while (_PySet_NextEntryRef((PyObject *)other, &setpos, &key, &hash)) {
1387
1.06M
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, key);
1388
1.06M
        dest++;
1389
1.06M
    }
1390
270k
    Py_SET_SIZE(self, r);
1391
270k
    return 0;
1392
270k
}
1393
1394
static int
1395
list_extend_dict(PyListObject *self, PyDictObject *dict, int which_item)
1396
4.18M
{
1397
    // which_item: 0 for keys and 1 for values
1398
4.18M
    Py_ssize_t m = Py_SIZE(self);
1399
4.18M
    Py_ssize_t n = PyDict_GET_SIZE(dict);
1400
4.18M
    Py_ssize_t r = m + n;
1401
4.18M
    if (r == 0) {
1402
0
        return 0;
1403
0
    }
1404
4.18M
    if (list_resize(self, r) < 0) {
1405
0
        return -1;
1406
0
    }
1407
1408
4.18M
    assert(self->ob_item != NULL);
1409
4.18M
    PyObject **dest = self->ob_item + m;
1410
4.18M
    Py_ssize_t pos = 0;
1411
4.18M
    PyObject *keyvalue[2];
1412
9.58M
    while (_PyDict_Next((PyObject *)dict, &pos, &keyvalue[0], &keyvalue[1], NULL)) {
1413
5.40M
        PyObject *obj = keyvalue[which_item];
1414
5.40M
        Py_INCREF(obj);
1415
5.40M
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, obj);
1416
5.40M
        dest++;
1417
5.40M
    }
1418
1419
4.18M
    Py_SET_SIZE(self, r);
1420
4.18M
    return 0;
1421
4.18M
}
1422
1423
static int
1424
list_extend_dictitems(PyListObject *self, PyDictObject *dict)
1425
6
{
1426
6
    Py_ssize_t m = Py_SIZE(self);
1427
6
    Py_ssize_t n = PyDict_GET_SIZE(dict);
1428
6
    Py_ssize_t r = m + n;
1429
6
    if (r == 0) {
1430
0
        return 0;
1431
0
    }
1432
6
    if (list_resize(self, r) < 0) {
1433
0
        return -1;
1434
0
    }
1435
1436
6
    assert(self->ob_item != NULL);
1437
6
    PyObject **dest = self->ob_item + m;
1438
6
    Py_ssize_t pos = 0;
1439
6
    Py_ssize_t i = 0;
1440
6
    PyObject *key, *value;
1441
543
    while (_PyDict_Next((PyObject *)dict, &pos, &key, &value, NULL)) {
1442
537
        PyObject *item = _PyTuple_FromPair(key, value);
1443
537
        if (item == NULL) {
1444
0
            Py_SET_SIZE(self, m + i);
1445
0
            return -1;
1446
0
        }
1447
537
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, item);
1448
537
        dest++;
1449
537
        i++;
1450
537
    }
1451
1452
6
    Py_SET_SIZE(self, r);
1453
6
    return 0;
1454
6
}
1455
1456
static int
1457
_list_extend(PyListObject *self, PyObject *iterable)
1458
26.7M
{
1459
    // Special case:
1460
    // lists and tuples which can use PySequence_Fast ops
1461
26.7M
    int res = -1;
1462
26.7M
    if ((PyObject *)self == iterable) {
1463
0
        Py_BEGIN_CRITICAL_SECTION(self);
1464
0
        res = list_inplace_repeat_lock_held(self, 2);
1465
0
        Py_END_CRITICAL_SECTION();
1466
0
    }
1467
26.7M
    else if (PyList_CheckExact(iterable)) {
1468
9.65M
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1469
9.65M
        res = list_extend_lock_held(self, iterable);
1470
9.65M
        Py_END_CRITICAL_SECTION2();
1471
9.65M
    }
1472
17.1M
    else if (PyTuple_CheckExact(iterable)) {
1473
6.58M
        Py_BEGIN_CRITICAL_SECTION(self);
1474
6.58M
        res = list_extend_lock_held(self, iterable);
1475
6.58M
        Py_END_CRITICAL_SECTION();
1476
6.58M
    }
1477
10.5M
    else if (PyAnySet_CheckExact(iterable)) {
1478
270k
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1479
270k
        res = list_extend_set(self, (PySetObject *)iterable);
1480
270k
        Py_END_CRITICAL_SECTION2();
1481
270k
    }
1482
10.2M
    else if (PyDict_CheckExact(iterable)) {
1483
4.18M
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1484
4.18M
        res = list_extend_dict(self, (PyDictObject *)iterable, 0 /*keys*/);
1485
4.18M
        Py_END_CRITICAL_SECTION2();
1486
4.18M
    }
1487
6.06M
    else if (Py_IS_TYPE(iterable, &PyDictKeys_Type)) {
1488
622
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1489
622
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1490
622
        res = list_extend_dict(self, dict, 0 /*keys*/);
1491
622
        Py_END_CRITICAL_SECTION2();
1492
622
    }
1493
6.06M
    else if (Py_IS_TYPE(iterable, &PyDictValues_Type)) {
1494
8
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1495
8
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1496
8
        res = list_extend_dict(self, dict, 1 /*values*/);
1497
8
        Py_END_CRITICAL_SECTION2();
1498
8
    }
1499
6.06M
    else if (Py_IS_TYPE(iterable, &PyDictItems_Type)) {
1500
6
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1501
6
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1502
6
        res = list_extend_dictitems(self, dict);
1503
6
        Py_END_CRITICAL_SECTION2();
1504
6
    }
1505
6.06M
    else {
1506
6.06M
        Py_BEGIN_CRITICAL_SECTION(self);
1507
6.06M
        res = list_extend_iter_lock_held(self, iterable);
1508
6.06M
        Py_END_CRITICAL_SECTION();
1509
6.06M
    }
1510
26.7M
    return res;
1511
26.7M
}
1512
1513
/*[clinic input]
1514
list.extend as list_extend
1515
1516
     iterable: object
1517
     /
1518
1519
Extend list by appending elements from the iterable.
1520
[clinic start generated code]*/
1521
1522
static PyObject *
1523
list_extend_impl(PyListObject *self, PyObject *iterable)
1524
/*[clinic end generated code: output=b0eba9e0b186d5ce input=979da7597a515791]*/
1525
17.1M
{
1526
17.1M
    if (_list_extend(self, iterable) < 0) {
1527
611
        return NULL;
1528
611
    }
1529
17.1M
    Py_RETURN_NONE;
1530
17.1M
}
1531
1532
PyObject *
1533
_PyList_Extend(PyListObject *self, PyObject *iterable)
1534
15.8M
{
1535
15.8M
    return list_extend((PyObject*)self, iterable);
1536
15.8M
}
1537
1538
int
1539
PyList_Extend(PyObject *self, PyObject *iterable)
1540
0
{
1541
0
    if (!PyList_Check(self)) {
1542
0
        PyErr_BadInternalCall();
1543
0
        return -1;
1544
0
    }
1545
0
    return _list_extend((PyListObject*)self, iterable);
1546
0
}
1547
1548
1549
int
1550
PyList_Clear(PyObject *self)
1551
0
{
1552
0
    if (!PyList_Check(self)) {
1553
0
        PyErr_BadInternalCall();
1554
0
        return -1;
1555
0
    }
1556
0
    Py_BEGIN_CRITICAL_SECTION(self);
1557
0
    list_clear((PyListObject*)self);
1558
0
    Py_END_CRITICAL_SECTION();
1559
0
    return 0;
1560
0
}
1561
1562
1563
static PyObject *
1564
list_inplace_concat(PyObject *_self, PyObject *other)
1565
111k
{
1566
111k
    PyListObject *self = (PyListObject *)_self;
1567
111k
    if (_list_extend(self, other) < 0) {
1568
0
        return NULL;
1569
0
    }
1570
111k
    return Py_NewRef(self);
1571
111k
}
1572
1573
/*[clinic input]
1574
@critical_section
1575
list.pop
1576
1577
    index: Py_ssize_t = -1
1578
    /
1579
1580
Remove and return item at index (default last).
1581
1582
Raises IndexError if list is empty or index is out of range.
1583
[clinic start generated code]*/
1584
1585
static PyObject *
1586
list_pop_impl(PyListObject *self, Py_ssize_t index)
1587
/*[clinic end generated code: output=6bd69dcb3f17eca8 input=c269141068ae4b8f]*/
1588
21.8M
{
1589
21.8M
    PyObject *v;
1590
1591
21.8M
    if (Py_SIZE(self) == 0) {
1592
        /* Special-case most common failure cause */
1593
0
        PyErr_SetString(PyExc_IndexError, "pop from empty list");
1594
0
        return NULL;
1595
0
    }
1596
21.8M
    if (index < 0)
1597
17.9M
        index += Py_SIZE(self);
1598
21.8M
    if (!valid_index(index, Py_SIZE(self))) {
1599
0
        PyErr_SetString(PyExc_IndexError, "pop index out of range");
1600
0
        return NULL;
1601
0
    }
1602
1603
21.8M
    PyObject **items = self->ob_item;
1604
21.8M
    v = items[index];
1605
21.8M
    if (Py_SIZE(self) == 1) {
1606
8.30M
        Py_INCREF(v);
1607
8.30M
        list_clear(self);
1608
8.30M
        return v;
1609
8.30M
    }
1610
13.5M
    Py_ssize_t size_after_pop = Py_SIZE(self) - 1;
1611
13.5M
    if (index < size_after_pop) {
1612
2.43M
        ptr_wise_atomic_memmove(self, &items[index], &items[index+1],
1613
2.43M
                                size_after_pop - index);
1614
2.43M
    }
1615
13.5M
    list_resize(self, size_after_pop);  // NB: shrinking a list can't fail
1616
13.5M
    return v;
1617
21.8M
}
1618
1619
/* Reverse a slice of a list in place, from lo up to (exclusive) hi. */
1620
static void
1621
reverse_slice(PyObject **lo, PyObject **hi)
1622
263k
{
1623
263k
    assert(lo && hi);
1624
1625
263k
    --hi;
1626
4.11M
    while (lo < hi) {
1627
3.85M
        PyObject *t = *lo;
1628
3.85M
        FT_ATOMIC_STORE_PTR_RELEASE(*lo, *hi);
1629
3.85M
        FT_ATOMIC_STORE_PTR_RELEASE(*hi, t);
1630
3.85M
        ++lo;
1631
3.85M
        --hi;
1632
3.85M
    }
1633
263k
}
1634
1635
/* Lots of code for an adaptive, stable, natural mergesort.  There are many
1636
 * pieces to this algorithm; read listsort.txt for overviews and details.
1637
 */
1638
1639
/* A sortslice contains a pointer to an array of keys and a pointer to
1640
 * an array of corresponding values.  In other words, keys[i]
1641
 * corresponds with values[i].  If values == NULL, then the keys are
1642
 * also the values.
1643
 *
1644
 * Several convenience routines are provided here, so that keys and
1645
 * values are always moved in sync.
1646
 */
1647
1648
typedef struct {
1649
    PyObject **keys;
1650
    PyObject **values;
1651
} sortslice;
1652
1653
Py_LOCAL_INLINE(void)
1654
sortslice_copy(sortslice *s1, Py_ssize_t i, sortslice *s2, Py_ssize_t j)
1655
37.5k
{
1656
37.5k
    s1->keys[i] = s2->keys[j];
1657
37.5k
    if (s1->values != NULL)
1658
30.5k
        s1->values[i] = s2->values[j];
1659
37.5k
}
1660
1661
Py_LOCAL_INLINE(void)
1662
sortslice_copy_incr(sortslice *dst, sortslice *src)
1663
1.15M
{
1664
1.15M
    *dst->keys++ = *src->keys++;
1665
1.15M
    if (dst->values != NULL)
1666
492k
        *dst->values++ = *src->values++;
1667
1.15M
}
1668
1669
Py_LOCAL_INLINE(void)
1670
sortslice_copy_decr(sortslice *dst, sortslice *src)
1671
2.77M
{
1672
2.77M
    *dst->keys-- = *src->keys--;
1673
2.77M
    if (dst->values != NULL)
1674
490k
        *dst->values-- = *src->values--;
1675
2.77M
}
1676
1677
1678
Py_LOCAL_INLINE(void)
1679
sortslice_memcpy(sortslice *s1, Py_ssize_t i, sortslice *s2, Py_ssize_t j,
1680
                 Py_ssize_t n)
1681
175k
{
1682
175k
    memcpy(&s1->keys[i], &s2->keys[j], sizeof(PyObject *) * n);
1683
175k
    if (s1->values != NULL)
1684
152k
        memcpy(&s1->values[i], &s2->values[j], sizeof(PyObject *) * n);
1685
175k
}
1686
1687
Py_LOCAL_INLINE(void)
1688
sortslice_memmove(sortslice *s1, Py_ssize_t i, sortslice *s2, Py_ssize_t j,
1689
                  Py_ssize_t n)
1690
123k
{
1691
123k
    memmove(&s1->keys[i], &s2->keys[j], sizeof(PyObject *) * n);
1692
123k
    if (s1->values != NULL)
1693
104k
        memmove(&s1->values[i], &s2->values[j], sizeof(PyObject *) * n);
1694
123k
}
1695
1696
Py_LOCAL_INLINE(void)
1697
sortslice_advance(sortslice *slice, Py_ssize_t n)
1698
949k
{
1699
949k
    slice->keys += n;
1700
949k
    if (slice->values != NULL)
1701
572k
        slice->values += n;
1702
949k
}
1703
1704
/* Comparison function: ms->key_compare, which is set at run-time in
1705
 * listsort_impl to optimize for various special cases.
1706
 * Returns -1 on error, 1 if x < y, 0 if x >= y.
1707
 */
1708
1709
21.8M
#define ISLT(X, Y) (*(ms->key_compare))(X, Y, ms)
1710
1711
/* Compare X to Y via "<".  Goto "fail" if the comparison raises an
1712
   error.  Else "k" is set to true iff X<Y, and an "if (k)" block is
1713
   started.  It makes more sense in context <wink>.  X and Y are PyObject*s.
1714
*/
1715
18.1M
#define IFLT(X, Y) if ((k = ISLT(X, Y)) < 0) goto fail;  \
1716
18.1M
           if (k)
1717
1718
/* The maximum number of entries in a MergeState's pending-runs stack.
1719
 * For a list with n elements, this needs at most floor(log2(n)) + 1 entries
1720
 * even if we didn't force runs to a minimal length.  So the number of bits
1721
 * in a Py_ssize_t is plenty large enough for all cases.
1722
 */
1723
#define MAX_MERGE_PENDING (SIZEOF_SIZE_T * 8)
1724
1725
/* When we get into galloping mode, we stay there until both runs win less
1726
 * often than MIN_GALLOP consecutive times.  See listsort.txt for more info.
1727
 */
1728
4.52M
#define MIN_GALLOP 7
1729
1730
/* Avoid malloc for small temp arrays. */
1731
5.46M
#define MERGESTATE_TEMP_SIZE 256
1732
1733
/* The largest value of minrun. This must be a power of 2, and >= 1 */
1734
4.32M
#define MAX_MINRUN 64
1735
#if ((MAX_MINRUN) < 1) || ((MAX_MINRUN) & ((MAX_MINRUN) - 1))
1736
#error "MAX_MINRUN must be a power of 2, and >= 1"
1737
#endif
1738
1739
/* One MergeState exists on the stack per invocation of mergesort.  It's just
1740
 * a convenient way to pass state around among the helper functions.
1741
 */
1742
struct s_slice {
1743
    sortslice base;
1744
    Py_ssize_t len;   /* length of run */
1745
    int power; /* node "level" for powersort merge strategy */
1746
};
1747
1748
typedef struct s_MergeState MergeState;
1749
struct s_MergeState {
1750
    /* This controls when we get *into* galloping mode.  It's initialized
1751
     * to MIN_GALLOP.  merge_lo and merge_hi tend to nudge it higher for
1752
     * random data, and lower for highly structured data.
1753
     */
1754
    Py_ssize_t min_gallop;
1755
1756
    Py_ssize_t listlen;     /* len(input_list) - read only */
1757
    PyObject **basekeys;    /* base address of keys array - read only */
1758
1759
    /* 'a' is temp storage to help with merges.  It contains room for
1760
     * alloced entries.
1761
     */
1762
    sortslice a;        /* may point to temparray below */
1763
    Py_ssize_t alloced;
1764
1765
    /* A stack of n pending runs yet to be merged.  Run #i starts at
1766
     * address base[i] and extends for len[i] elements.  It's always
1767
     * true (so long as the indices are in bounds) that
1768
     *
1769
     *     pending[i].base + pending[i].len == pending[i+1].base
1770
     *
1771
     * so we could cut the storage for this, but it's a minor amount,
1772
     * and keeping all the info explicit simplifies the code.
1773
     */
1774
    int n;
1775
    struct s_slice pending[MAX_MERGE_PENDING];
1776
1777
    /* 'a' points to this when possible, rather than muck with malloc. */
1778
    PyObject *temparray[MERGESTATE_TEMP_SIZE];
1779
1780
    /* This is the function we will use to compare two keys,
1781
     * even when none of our special cases apply and we have to use
1782
     * safe_object_compare. */
1783
    int (*key_compare)(PyObject *, PyObject *, MergeState *);
1784
1785
    /* This function is used by unsafe_object_compare to optimize comparisons
1786
     * when we know our list is type-homogeneous but we can't assume anything else.
1787
     * In the pre-sort check it is set equal to Py_TYPE(key)->tp_richcompare */
1788
    PyObject *(*key_richcompare)(PyObject *, PyObject *, int);
1789
1790
    /* This function is used by unsafe_tuple_compare to compare the first elements
1791
     * of tuples. It may be set to safe_object_compare, but the idea is that hopefully
1792
     * we can assume more, and use one of the special-case compares. */
1793
    int (*tuple_elem_compare)(PyObject *, PyObject *, MergeState *);
1794
1795
    /* Varisbles used for minrun computation. The "ideal" minrun length is
1796
     * the infinite precision listlen / 2**e. See listsort.txt.
1797
     */
1798
     Py_ssize_t mr_current, mr_e, mr_mask;
1799
};
1800
1801
/* binarysort is the best method for sorting small arrays: it does few
1802
   compares, but can do data movement quadratic in the number of elements.
1803
   ss->keys is viewed as an array of n kays, a[:n]. a[:ok] is already sorted.
1804
   Pass ok = 0 (or 1) if you don't know.
1805
   It's sorted in-place, by a stable binary insertion sort. If ss->values
1806
   isn't NULL, it's permuted in lockstap with ss->keys.
1807
   On entry, must have n >= 1, and 0 <= ok <= n <= MAX_MINRUN.
1808
   Return -1 if comparison raises an exception, else 0.
1809
   Even in case of error, the output slice will be some permutation of
1810
   the input (nothing is lost or duplicated).
1811
*/
1812
static int
1813
binarysort(MergeState *ms, const sortslice *ss, Py_ssize_t n, Py_ssize_t ok)
1814
285k
{
1815
285k
    Py_ssize_t k; /* for IFLT macro expansion */
1816
285k
    PyObject ** const a = ss->keys;
1817
285k
    PyObject ** const v = ss->values;
1818
285k
    const bool has_values = v != NULL;
1819
285k
    PyObject *pivot;
1820
285k
    Py_ssize_t M;
1821
1822
285k
    assert(0 <= ok && ok <= n && 1 <= n && n <= MAX_MINRUN);
1823
    /* assert a[:ok] is sorted */
1824
285k
    if (! ok)
1825
0
        ++ok;
1826
    /* Regular insertion sort has average- and worst-case O(n**2) cost
1827
       for both # of comparisons and number of bytes moved. But its branches
1828
       are highly predictable, and it loves sorted input (n-1 compares and no
1829
       data movement). This is significant in cases like sortperf.py's %sort,
1830
       where an out-of-order element near the start of a run is moved into
1831
       place slowly but then the remaining elements up to length minrun are
1832
       generally at worst one slot away from their correct position (so only
1833
       need 1 or 2 commpares to resolve). If comparisons are very fast (such
1834
       as for a list of Python floats), the simple inner loop leaves it
1835
       very competitive with binary insertion, despite that it does
1836
       significantly more compares overall on random data.
1837
1838
       Binary insertion sort has worst, average, and best case O(n log n)
1839
       cost for # of comparisons, but worst and average case O(n**2) cost
1840
       for data movement. The more expensive comparisons, the more important
1841
       the comparison advantage. But its branches are less predictable the
1842
       more "randomish" the data, and that's so significant its worst case
1843
       in real life is random input rather than reverse-ordered (which does
1844
       about twice the data movement than random input does).
1845
1846
       Note that the number of bytes moved doesn't seem to matter. MAX_MINRUN
1847
       of 64 is so small that the key and value pointers all fit in a corner
1848
       of L1 cache, and moving things around in that is very fast. */
1849
#if 0 // ordinary insertion sort.
1850
    PyObject * vpivot = NULL;
1851
    for (; ok < n; ++ok) {
1852
        pivot = a[ok];
1853
        if (has_values)
1854
            vpivot = v[ok];
1855
        for (M = ok - 1; M >= 0; --M) {
1856
            k = ISLT(pivot, a[M]);
1857
            if (k < 0) {
1858
                a[M + 1] = pivot;
1859
                if (has_values)
1860
                    v[M + 1] = vpivot;
1861
                goto fail;
1862
            }
1863
            else if (k) {
1864
                a[M + 1] = a[M];
1865
                if (has_values)
1866
                    v[M + 1] = v[M];
1867
            }
1868
            else
1869
                break;
1870
        }
1871
        a[M + 1] = pivot;
1872
        if (has_values)
1873
            v[M + 1] = vpivot;
1874
    }
1875
#else // binary insertion sort
1876
285k
    Py_ssize_t L, R;
1877
2.71M
    for (; ok < n; ++ok) {
1878
        /* set L to where a[ok] belongs */
1879
2.43M
        L = 0;
1880
2.43M
        R = ok;
1881
2.43M
        pivot = a[ok];
1882
        /* Slice invariants. vacuously true at the start:
1883
         * all a[0:L]  <= pivot
1884
         * all a[L:R]     unknown
1885
         * all a[R:ok]  > pivot
1886
         */
1887
2.43M
        assert(L < R);
1888
10.0M
        do {
1889
            /* don't do silly ;-) things to prevent overflow when finding
1890
               the midpoint; L and R are very far from filling a Py_ssize_t */
1891
10.0M
            M = (L + R) >> 1;
1892
10.0M
#if 1 // straightforward, but highly unpredictable branch on random data
1893
10.0M
            IFLT(pivot, a[M])
1894
4.21M
                R = M;
1895
5.80M
            else
1896
5.80M
                L = M + 1;
1897
#else
1898
            /* Try to get compiler to generate conditional move instructions
1899
               instead. Works fine, but leaving it disabled for now because
1900
               it's not yielding consistently faster sorts. Needs more
1901
               investigation. More computation in the inner loop adds its own
1902
               costs, which can be significant when compares are fast. */
1903
            k = ISLT(pivot, a[M]);
1904
            if (k < 0)
1905
                goto fail;
1906
            Py_ssize_t Mp1 = M + 1;
1907
            R = k ? M : R;
1908
            L = k ? L : Mp1;
1909
#endif
1910
10.0M
        } while (L < R);
1911
2.43M
        assert(L == R);
1912
        /* a[:L] holds all elements from a[:ok] <= pivot now, so pivot belongs
1913
           at index L. Slide a[L:ok] to the right a slot to make room for it.
1914
           Caution: using memmove is much slower under MSVC 5; we're not
1915
           usually moving many slots. Years later: under Visual Studio 2022,
1916
           memmove seems just slightly slower than doing it "by hand". */
1917
18.0M
        for (M = ok; M > L; --M)
1918
15.6M
            a[M] = a[M - 1];
1919
2.43M
        a[L] = pivot;
1920
2.43M
        if (has_values) {
1921
1.39M
            pivot = v[ok];
1922
7.27M
            for (M = ok; M > L; --M)
1923
5.87M
                v[M] = v[M - 1];
1924
1.39M
            v[L] = pivot;
1925
1.39M
        }
1926
2.43M
    }
1927
285k
#endif // pick binary or regular insertion sort
1928
285k
    return 0;
1929
1930
0
 fail:
1931
0
    return -1;
1932
285k
}
1933
1934
static void
1935
sortslice_reverse(sortslice *s, Py_ssize_t n)
1936
222k
{
1937
222k
    reverse_slice(s->keys, &s->keys[n]);
1938
222k
    if (s->values != NULL)
1939
41.3k
        reverse_slice(s->values, &s->values[n]);
1940
222k
}
1941
1942
/*
1943
Return the length of the run beginning at slo->keys, spanning no more than
1944
nremaining elements. The run beginning there may be ascending or descending,
1945
but the function permutes it in place, if needed, so that it's always ascending
1946
upon return.
1947
1948
Returns -1 in case of error.
1949
*/
1950
static Py_ssize_t
1951
count_run(MergeState *ms, sortslice *slo, Py_ssize_t nremaining)
1952
468k
{
1953
468k
    Py_ssize_t k; /* used by IFLT macro expansion */
1954
468k
    Py_ssize_t n;
1955
468k
    PyObject ** const lo = slo->keys;
1956
1957
    /* In general, as things go on we've established that the slice starts
1958
       with a monotone run of n elements, starting at lo. */
1959
1960
    /* We're n elements into the slice, and the most recent neq+1 elements are
1961
     * all equal. This reverses them in-place, and resets neq for reuse.
1962
     */
1963
468k
#define REVERSE_LAST_NEQ                        \
1964
2.54M
    if (neq) {                                  \
1965
7.65k
        sortslice slice = *slo;                 \
1966
7.65k
        ++neq;                                  \
1967
7.65k
        sortslice_advance(&slice, n - neq);     \
1968
7.65k
        sortslice_reverse(&slice, neq);         \
1969
7.65k
        neq = 0;                                \
1970
7.65k
    }
1971
1972
    /* Sticking to only __lt__ compares is confusing and error-prone. But in
1973
     * this routine, almost all uses of IFLT can be captured by tiny macros
1974
     * giving mnemonic names to the intent. Note that inline functions don't
1975
     * work for this (IFLT expands to code including `goto fail`).
1976
     */
1977
468k
#define IF_NEXT_LARGER  IFLT(lo[n-1], lo[n])
1978
5.87M
#define IF_NEXT_SMALLER IFLT(lo[n], lo[n-1])
1979
1980
468k
    assert(nremaining);
1981
    /* try ascending run first */
1982
2.81M
    for (n = 1; n < nremaining; ++n) {
1983
2.67M
        IF_NEXT_SMALLER
1984
335k
            break;
1985
2.67M
    }
1986
468k
    if (n == nremaining)
1987
132k
        return n;
1988
    /* lo[n] is strictly less */
1989
    /* If n is 1 now, then the first compare established it's a descending
1990
     * run, so fall through to the descending case. But if n > 1, there are
1991
     * n elements in an ascending run terminated by the strictly less lo[n].
1992
     * If the first key < lo[n-1], *somewhere* along the way the sequence
1993
     * increased, so we're done (there is no descending run).
1994
     * Else first key >= lo[n-1], which implies that the entire ascending run
1995
     * consists of equal elements. In that case, this is a descending run,
1996
     * and we reverse the all-equal prefix in-place.
1997
     */
1998
335k
    if (n > 1) {
1999
130k
        IFLT(lo[0], lo[n-1])
2000
125k
            return n;
2001
4.61k
        sortslice_reverse(slo, n);
2002
4.61k
    }
2003
209k
    ++n; /* in all cases it's been established that lo[n] has been resolved */
2004
2005
    /* Finish descending run. All-squal subruns are reversed in-place on the
2006
     * fly. Their original order will be restored at the end by the whole-slice
2007
     * reversal.
2008
     */
2009
209k
    Py_ssize_t neq = 0;
2010
2.57M
    for ( ; n < nremaining; ++n) {
2011
2.53M
        IF_NEXT_SMALLER {
2012
            /* This ends the most recent run of equal elements, but still in
2013
             * the "descending" direction.
2014
             */
2015
2.33M
            REVERSE_LAST_NEQ
2016
2.33M
        }
2017
204k
        else {
2018
204k
            IF_NEXT_LARGER /* descending run is over */
2019
175k
                break;
2020
28.5k
            else /* not x < y and not y < x implies x == y */
2021
28.5k
                ++neq;
2022
204k
        }
2023
2.53M
    }
2024
209k
    REVERSE_LAST_NEQ
2025
209k
    sortslice_reverse(slo, n); /* transform to ascending run */
2026
2027
    /* And after reversing, it's possible this can be extended by a
2028
     * naturally increasing suffix; e.g., [3, 2, 3, 4, 1] makes an
2029
     * ascending run from the first 4 elements.
2030
     */
2031
697k
    for ( ; n < nremaining; ++n) {
2032
661k
        IF_NEXT_SMALLER
2033
174k
            break;
2034
661k
    }
2035
2036
209k
    return n;
2037
0
fail:
2038
0
    return -1;
2039
2040
209k
#undef REVERSE_LAST_NEQ
2041
209k
#undef IF_NEXT_SMALLER
2042
209k
#undef IF_NEXT_LARGER
2043
209k
}
2044
2045
/*
2046
Locate the proper position of key in a sorted vector; if the vector contains
2047
an element equal to key, return the position immediately to the left of
2048
the leftmost equal element.  [gallop_right() does the same except returns
2049
the position to the right of the rightmost equal element (if any).]
2050
2051
"a" is a sorted vector with n elements, starting at a[0].  n must be > 0.
2052
2053
"hint" is an index at which to begin the search, 0 <= hint < n.  The closer
2054
hint is to the final result, the faster this runs.
2055
2056
The return value is the int k in 0..n such that
2057
2058
    a[k-1] < key <= a[k]
2059
2060
pretending that *(a-1) is minus infinity and a[n] is plus infinity.  IOW,
2061
key belongs at index k; or, IOW, the first k elements of a should precede
2062
key, and the last n-k should follow key.
2063
2064
Returns -1 on error.  See listsort.txt for info on the method.
2065
*/
2066
static Py_ssize_t
2067
gallop_left(MergeState *ms, PyObject *key, PyObject **a, Py_ssize_t n, Py_ssize_t hint)
2068
174k
{
2069
174k
    Py_ssize_t ofs;
2070
174k
    Py_ssize_t lastofs;
2071
174k
    Py_ssize_t k;
2072
2073
174k
    assert(key && a && n > 0 && hint >= 0 && hint < n);
2074
2075
174k
    a += hint;
2076
174k
    lastofs = 0;
2077
174k
    ofs = 1;
2078
174k
    IFLT(*a, key) {
2079
        /* a[hint] < key -- gallop right, until
2080
         * a[hint + lastofs] < key <= a[hint + ofs]
2081
         */
2082
87.0k
        const Py_ssize_t maxofs = n - hint;             /* &a[n-1] is highest */
2083
258k
        while (ofs < maxofs) {
2084
198k
            IFLT(a[ofs], key) {
2085
171k
                lastofs = ofs;
2086
171k
                assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2087
171k
                ofs = (ofs << 1) + 1;
2088
171k
            }
2089
26.7k
            else                /* key <= a[hint + ofs] */
2090
26.7k
                break;
2091
198k
        }
2092
87.0k
        if (ofs > maxofs)
2093
22.1k
            ofs = maxofs;
2094
        /* Translate back to offsets relative to &a[0]. */
2095
87.0k
        lastofs += hint;
2096
87.0k
        ofs += hint;
2097
87.0k
    }
2098
87.0k
    else {
2099
        /* key <= a[hint] -- gallop left, until
2100
         * a[hint - ofs] < key <= a[hint - lastofs]
2101
         */
2102
87.0k
        const Py_ssize_t maxofs = hint + 1;             /* &a[0] is lowest */
2103
275k
        while (ofs < maxofs) {
2104
244k
            IFLT(*(a-ofs), key)
2105
55.9k
                break;
2106
            /* key <= a[hint - ofs] */
2107
188k
            lastofs = ofs;
2108
188k
            assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2109
188k
            ofs = (ofs << 1) + 1;
2110
188k
        }
2111
87.0k
        if (ofs > maxofs)
2112
18.1k
            ofs = maxofs;
2113
        /* Translate back to positive offsets relative to &a[0]. */
2114
87.0k
        k = lastofs;
2115
87.0k
        lastofs = hint - ofs;
2116
87.0k
        ofs = hint - k;
2117
87.0k
    }
2118
174k
    a -= hint;
2119
2120
174k
    assert(-1 <= lastofs && lastofs < ofs && ofs <= n);
2121
    /* Now a[lastofs] < key <= a[ofs], so key belongs somewhere to the
2122
     * right of lastofs but no farther right than ofs.  Do a binary
2123
     * search, with invariant a[lastofs-1] < key <= a[ofs].
2124
     */
2125
174k
    ++lastofs;
2126
485k
    while (lastofs < ofs) {
2127
311k
        Py_ssize_t m = lastofs + ((ofs - lastofs) >> 1);
2128
2129
311k
        IFLT(a[m], key)
2130
159k
            lastofs = m+1;              /* a[m] < key */
2131
152k
        else
2132
152k
            ofs = m;                    /* key <= a[m] */
2133
311k
    }
2134
174k
    assert(lastofs == ofs);             /* so a[ofs-1] < key <= a[ofs] */
2135
174k
    return ofs;
2136
2137
0
fail:
2138
0
    return -1;
2139
174k
}
2140
2141
/*
2142
Exactly like gallop_left(), except that if key already exists in a[0:n],
2143
finds the position immediately to the right of the rightmost equal value.
2144
2145
The return value is the int k in 0..n such that
2146
2147
    a[k-1] <= key < a[k]
2148
2149
or -1 if error.
2150
2151
The code duplication is massive, but this is enough different given that
2152
we're sticking to "<" comparisons that it's much harder to follow if
2153
written as one routine with yet another "left or right?" flag.
2154
*/
2155
static Py_ssize_t
2156
gallop_right(MergeState *ms, PyObject *key, PyObject **a, Py_ssize_t n, Py_ssize_t hint)
2157
193k
{
2158
193k
    Py_ssize_t ofs;
2159
193k
    Py_ssize_t lastofs;
2160
193k
    Py_ssize_t k;
2161
2162
193k
    assert(key && a && n > 0 && hint >= 0 && hint < n);
2163
2164
193k
    a += hint;
2165
193k
    lastofs = 0;
2166
193k
    ofs = 1;
2167
193k
    IFLT(key, *a) {
2168
        /* key < a[hint] -- gallop left, until
2169
         * a[hint - ofs] <= key < a[hint - lastofs]
2170
         */
2171
73.8k
        const Py_ssize_t maxofs = hint + 1;             /* &a[0] is lowest */
2172
188k
        while (ofs < maxofs) {
2173
135k
            IFLT(key, *(a-ofs)) {
2174
114k
                lastofs = ofs;
2175
114k
                assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2176
114k
                ofs = (ofs << 1) + 1;
2177
114k
            }
2178
21.1k
            else                /* a[hint - ofs] <= key */
2179
21.1k
                break;
2180
135k
        }
2181
73.8k
        if (ofs > maxofs)
2182
11.1k
            ofs = maxofs;
2183
        /* Translate back to positive offsets relative to &a[0]. */
2184
73.8k
        k = lastofs;
2185
73.8k
        lastofs = hint - ofs;
2186
73.8k
        ofs = hint - k;
2187
73.8k
    }
2188
119k
    else {
2189
        /* a[hint] <= key -- gallop right, until
2190
         * a[hint + lastofs] <= key < a[hint + ofs]
2191
        */
2192
119k
        const Py_ssize_t maxofs = n - hint;             /* &a[n-1] is highest */
2193
385k
        while (ofs < maxofs) {
2194
336k
            IFLT(key, a[ofs])
2195
70.6k
                break;
2196
            /* a[hint + ofs] <= key */
2197
265k
            lastofs = ofs;
2198
265k
            assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2199
265k
            ofs = (ofs << 1) + 1;
2200
265k
        }
2201
119k
        if (ofs > maxofs)
2202
26.4k
            ofs = maxofs;
2203
        /* Translate back to offsets relative to &a[0]. */
2204
119k
        lastofs += hint;
2205
119k
        ofs += hint;
2206
119k
    }
2207
193k
    a -= hint;
2208
2209
193k
    assert(-1 <= lastofs && lastofs < ofs && ofs <= n);
2210
    /* Now a[lastofs] <= key < a[ofs], so key belongs somewhere to the
2211
     * right of lastofs but no farther right than ofs.  Do a binary
2212
     * search, with invariant a[lastofs-1] <= key < a[ofs].
2213
     */
2214
193k
    ++lastofs;
2215
524k
    while (lastofs < ofs) {
2216
330k
        Py_ssize_t m = lastofs + ((ofs - lastofs) >> 1);
2217
2218
330k
        IFLT(key, a[m])
2219
168k
            ofs = m;                    /* key < a[m] */
2220
161k
        else
2221
161k
            lastofs = m+1;              /* a[m] <= key */
2222
330k
    }
2223
193k
    assert(lastofs == ofs);             /* so a[ofs-1] <= key < a[ofs] */
2224
193k
    return ofs;
2225
2226
0
fail:
2227
0
    return -1;
2228
193k
}
2229
2230
/* Conceptually a MergeState's constructor. */
2231
static void
2232
merge_init(MergeState *ms, Py_ssize_t list_size, int has_keyfunc,
2233
           sortslice *lo)
2234
4.29M
{
2235
4.29M
    assert(ms != NULL);
2236
4.29M
    if (has_keyfunc) {
2237
        /* The temporary space for merging will need at most half the list
2238
         * size rounded up.  Use the minimum possible space so we can use the
2239
         * rest of temparray for other things.  In particular, if there is
2240
         * enough extra space, listsort() will use it to store the keys.
2241
         */
2242
581k
        ms->alloced = (list_size + 1) / 2;
2243
2244
        /* ms->alloced describes how many keys will be stored at
2245
           ms->temparray, but we also need to store the values.  Hence,
2246
           ms->alloced is capped at half of MERGESTATE_TEMP_SIZE. */
2247
581k
        if (MERGESTATE_TEMP_SIZE / 2 < ms->alloced)
2248
2.40k
            ms->alloced = MERGESTATE_TEMP_SIZE / 2;
2249
581k
        ms->a.values = &ms->temparray[ms->alloced];
2250
581k
    }
2251
3.71M
    else {
2252
3.71M
        ms->alloced = MERGESTATE_TEMP_SIZE;
2253
3.71M
        ms->a.values = NULL;
2254
3.71M
    }
2255
4.29M
    ms->a.keys = ms->temparray;
2256
4.29M
    ms->n = 0;
2257
4.29M
    ms->min_gallop = MIN_GALLOP;
2258
4.29M
    ms->listlen = list_size;
2259
4.29M
    ms->basekeys = lo->keys;
2260
2261
    /* State for generating minrun values. See listsort.txt. */
2262
4.29M
    ms->mr_e = 0;
2263
4.32M
    while (list_size >> ms->mr_e >= MAX_MINRUN) {
2264
28.7k
        ++ms->mr_e;
2265
28.7k
    }
2266
4.29M
    ms->mr_mask = (1 << ms->mr_e) - 1;
2267
4.29M
    ms->mr_current = 0;
2268
4.29M
}
2269
2270
/* Free all the temp memory owned by the MergeState.  This must be called
2271
 * when you're done with a MergeState, and may be called before then if
2272
 * you want to free the temp memory early.
2273
 */
2274
static void
2275
merge_freemem(MergeState *ms)
2276
4.30M
{
2277
4.30M
    assert(ms != NULL);
2278
4.30M
    if (ms->a.keys != ms->temparray) {
2279
4.56k
        PyMem_Free(ms->a.keys);
2280
4.56k
        ms->a.keys = NULL;
2281
4.56k
    }
2282
4.30M
}
2283
2284
/* Ensure enough temp memory for 'need' array slots is available.
2285
 * Returns 0 on success and -1 if the memory can't be gotten.
2286
 */
2287
static int
2288
merge_getmem(MergeState *ms, Py_ssize_t need)
2289
4.56k
{
2290
4.56k
    int multiplier;
2291
2292
4.56k
    assert(ms != NULL);
2293
4.56k
    if (need <= ms->alloced)
2294
0
        return 0;
2295
2296
4.56k
    multiplier = ms->a.values != NULL ? 2 : 1;
2297
2298
    /* Don't realloc!  That can cost cycles to copy the old data, but
2299
     * we don't care what's in the block.
2300
     */
2301
4.56k
    merge_freemem(ms);
2302
4.56k
    if ((size_t)need > PY_SSIZE_T_MAX / sizeof(PyObject *) / multiplier) {
2303
0
        PyErr_NoMemory();
2304
0
        return -1;
2305
0
    }
2306
4.56k
    ms->a.keys = (PyObject **)PyMem_Malloc(multiplier * need
2307
4.56k
                                          * sizeof(PyObject *));
2308
4.56k
    if (ms->a.keys != NULL) {
2309
4.56k
        ms->alloced = need;
2310
4.56k
        if (ms->a.values != NULL)
2311
4.50k
            ms->a.values = &ms->a.keys[need];
2312
4.56k
        return 0;
2313
4.56k
    }
2314
0
    PyErr_NoMemory();
2315
0
    return -1;
2316
4.56k
}
2317
65.2k
#define MERGE_GETMEM(MS, NEED) ((NEED) <= (MS)->alloced ? 0 :   \
2318
65.2k
                                merge_getmem(MS, NEED))
2319
2320
/* Merge the na elements starting at ssa with the nb elements starting at
2321
 * ssb.keys = ssa.keys + na in a stable way, in-place.  na and nb must be > 0.
2322
 * Must also have that ssa.keys[na-1] belongs at the end of the merge, and
2323
 * should have na <= nb.  See listsort.txt for more info.  Return 0 if
2324
 * successful, -1 if error.
2325
 */
2326
static Py_ssize_t
2327
merge_lo(MergeState *ms, sortslice ssa, Py_ssize_t na,
2328
         sortslice ssb, Py_ssize_t nb)
2329
42.1k
{
2330
42.1k
    Py_ssize_t k;
2331
42.1k
    sortslice dest;
2332
42.1k
    int result = -1;            /* guilty until proved innocent */
2333
42.1k
    Py_ssize_t min_gallop;
2334
2335
42.1k
    assert(ms && ssa.keys && ssb.keys && na > 0 && nb > 0);
2336
42.1k
    assert(ssa.keys + na == ssb.keys);
2337
42.1k
    if (MERGE_GETMEM(ms, na) < 0)
2338
0
        return -1;
2339
42.1k
    sortslice_memcpy(&ms->a, 0, &ssa, 0, na);
2340
42.1k
    dest = ssa;
2341
42.1k
    ssa = ms->a;
2342
2343
42.1k
    sortslice_copy_incr(&dest, &ssb);
2344
42.1k
    --nb;
2345
42.1k
    if (nb == 0)
2346
2.02k
        goto Succeed;
2347
40.0k
    if (na == 1)
2348
6.35k
        goto CopyB;
2349
2350
33.7k
    min_gallop = ms->min_gallop;
2351
59.9k
    for (;;) {
2352
59.9k
        Py_ssize_t acount = 0;          /* # of times A won in a row */
2353
59.9k
        Py_ssize_t bcount = 0;          /* # of times B won in a row */
2354
2355
        /* Do the straightforward thing until (if ever) one run
2356
         * appears to win consistently.
2357
         */
2358
994k
        for (;;) {
2359
994k
            assert(na > 1 && nb > 0);
2360
994k
            k = ISLT(ssb.keys[0], ssa.keys[0]);
2361
994k
            if (k) {
2362
500k
                if (k < 0)
2363
0
                    goto Fail;
2364
500k
                sortslice_copy_incr(&dest, &ssb);
2365
500k
                ++bcount;
2366
500k
                acount = 0;
2367
500k
                --nb;
2368
500k
                if (nb == 0)
2369
3.05k
                    goto Succeed;
2370
497k
                if (bcount >= min_gallop)
2371
23.1k
                    break;
2372
497k
            }
2373
494k
            else {
2374
494k
                sortslice_copy_incr(&dest, &ssa);
2375
494k
                ++acount;
2376
494k
                bcount = 0;
2377
494k
                --na;
2378
494k
                if (na == 1)
2379
8.55k
                    goto CopyB;
2380
485k
                if (acount >= min_gallop)
2381
25.1k
                    break;
2382
485k
            }
2383
994k
        }
2384
2385
        /* One run is winning so consistently that galloping may
2386
         * be a huge win.  So try that, and continue galloping until
2387
         * (if ever) neither run appears to be winning consistently
2388
         * anymore.
2389
         */
2390
48.3k
        ++min_gallop;
2391
73.5k
        do {
2392
73.5k
            assert(na > 1 && nb > 0);
2393
73.5k
            min_gallop -= min_gallop > 1;
2394
73.5k
            ms->min_gallop = min_gallop;
2395
73.5k
            k = gallop_right(ms, ssb.keys[0], ssa.keys, na, 0);
2396
73.5k
            acount = k;
2397
73.5k
            if (k) {
2398
45.4k
                if (k < 0)
2399
0
                    goto Fail;
2400
45.4k
                sortslice_memcpy(&dest, 0, &ssa, 0, k);
2401
45.4k
                sortslice_advance(&dest, k);
2402
45.4k
                sortslice_advance(&ssa, k);
2403
45.4k
                na -= k;
2404
45.4k
                if (na == 1)
2405
7.26k
                    goto CopyB;
2406
                /* na==0 is impossible now if the comparison
2407
                 * function is consistent, but we can't assume
2408
                 * that it is.
2409
                 */
2410
38.2k
                if (na == 0)
2411
0
                    goto Succeed;
2412
38.2k
            }
2413
66.2k
            sortslice_copy_incr(&dest, &ssb);
2414
66.2k
            --nb;
2415
66.2k
            if (nb == 0)
2416
1.37k
                goto Succeed;
2417
2418
64.9k
            k = gallop_left(ms, ssa.keys[0], ssb.keys, nb, 0);
2419
64.9k
            bcount = k;
2420
64.9k
            if (k) {
2421
52.8k
                if (k < 0)
2422
0
                    goto Fail;
2423
52.8k
                sortslice_memmove(&dest, 0, &ssb, 0, k);
2424
52.8k
                sortslice_advance(&dest, k);
2425
52.8k
                sortslice_advance(&ssb, k);
2426
52.8k
                nb -= k;
2427
52.8k
                if (nb == 0)
2428
9.96k
                    goto Succeed;
2429
52.8k
            }
2430
54.9k
            sortslice_copy_incr(&dest, &ssa);
2431
54.9k
            --na;
2432
54.9k
            if (na == 1)
2433
3.51k
                goto CopyB;
2434
54.9k
        } while (acount >= MIN_GALLOP || bcount >= MIN_GALLOP);
2435
26.2k
        ++min_gallop;           /* penalize it for leaving galloping mode */
2436
26.2k
        ms->min_gallop = min_gallop;
2437
26.2k
    }
2438
16.4k
Succeed:
2439
16.4k
    result = 0;
2440
16.4k
Fail:
2441
16.4k
    if (na)
2442
16.4k
        sortslice_memcpy(&dest, 0, &ssa, 0, na);
2443
16.4k
    return result;
2444
25.6k
CopyB:
2445
25.6k
    assert(na == 1 && nb > 0);
2446
    /* The last element of ssa belongs at the end of the merge. */
2447
25.6k
    sortslice_memmove(&dest, 0, &ssb, 0, nb);
2448
25.6k
    sortslice_copy(&dest, nb, &ssa, 0);
2449
25.6k
    return 0;
2450
16.4k
}
2451
2452
/* Merge the na elements starting at pa with the nb elements starting at
2453
 * ssb.keys = ssa.keys + na in a stable way, in-place.  na and nb must be > 0.
2454
 * Must also have that ssa.keys[na-1] belongs at the end of the merge, and
2455
 * should have na >= nb.  See listsort.txt for more info.  Return 0 if
2456
 * successful, -1 if error.
2457
 */
2458
static Py_ssize_t
2459
merge_hi(MergeState *ms, sortslice ssa, Py_ssize_t na,
2460
         sortslice ssb, Py_ssize_t nb)
2461
23.1k
{
2462
23.1k
    Py_ssize_t k;
2463
23.1k
    sortslice dest, basea, baseb;
2464
23.1k
    int result = -1;            /* guilty until proved innocent */
2465
23.1k
    Py_ssize_t min_gallop;
2466
2467
23.1k
    assert(ms && ssa.keys && ssb.keys && na > 0 && nb > 0);
2468
23.1k
    assert(ssa.keys + na == ssb.keys);
2469
23.1k
    if (MERGE_GETMEM(ms, nb) < 0)
2470
0
        return -1;
2471
23.1k
    dest = ssb;
2472
23.1k
    sortslice_advance(&dest, nb-1);
2473
23.1k
    sortslice_memcpy(&ms->a, 0, &ssb, 0, nb);
2474
23.1k
    basea = ssa;
2475
23.1k
    baseb = ms->a;
2476
23.1k
    ssb.keys = ms->a.keys + nb - 1;
2477
23.1k
    if (ssb.values != NULL)
2478
21.9k
        ssb.values = ms->a.values + nb - 1;
2479
23.1k
    sortslice_advance(&ssa, na - 1);
2480
2481
23.1k
    sortslice_copy_decr(&dest, &ssa);
2482
23.1k
    --na;
2483
23.1k
    if (na == 0)
2484
0
        goto Succeed;
2485
23.1k
    if (nb == 1)
2486
1.01k
        goto CopyA;
2487
2488
22.1k
    min_gallop = ms->min_gallop;
2489
33.4k
    for (;;) {
2490
33.4k
        Py_ssize_t acount = 0;          /* # of times A won in a row */
2491
33.4k
        Py_ssize_t bcount = 0;          /* # of times B won in a row */
2492
2493
        /* Do the straightforward thing until (if ever) one run
2494
         * appears to win consistently.
2495
         */
2496
2.67M
        for (;;) {
2497
2.67M
            assert(na > 0 && nb > 1);
2498
2.67M
            k = ISLT(ssb.keys[0], ssa.keys[0]);
2499
2.67M
            if (k) {
2500
1.34M
                if (k < 0)
2501
0
                    goto Fail;
2502
1.34M
                sortslice_copy_decr(&dest, &ssa);
2503
1.34M
                ++acount;
2504
1.34M
                bcount = 0;
2505
1.34M
                --na;
2506
1.34M
                if (na == 0)
2507
882
                    goto Succeed;
2508
1.34M
                if (acount >= min_gallop)
2509
15.1k
                    break;
2510
1.34M
            }
2511
1.32M
            else {
2512
1.32M
                sortslice_copy_decr(&dest, &ssb);
2513
1.32M
                ++bcount;
2514
1.32M
                acount = 0;
2515
1.32M
                --nb;
2516
1.32M
                if (nb == 1)
2517
684
                    goto CopyA;
2518
1.32M
                if (bcount >= min_gallop)
2519
16.6k
                    break;
2520
1.32M
            }
2521
2.67M
        }
2522
2523
        /* One run is winning so consistently that galloping may
2524
         * be a huge win.  So try that, and continue galloping until
2525
         * (if ever) neither run appears to be winning consistently
2526
         * anymore.
2527
         */
2528
31.8k
        ++min_gallop;
2529
54.3k
        do {
2530
54.3k
            assert(na > 0 && nb > 1);
2531
54.3k
            min_gallop -= min_gallop > 1;
2532
54.3k
            ms->min_gallop = min_gallop;
2533
54.3k
            k = gallop_right(ms, ssb.keys[0], basea.keys, na, na-1);
2534
54.3k
            if (k < 0)
2535
0
                goto Fail;
2536
54.3k
            k = na - k;
2537
54.3k
            acount = k;
2538
54.3k
            if (k) {
2539
33.5k
                sortslice_advance(&dest, -k);
2540
33.5k
                sortslice_advance(&ssa, -k);
2541
33.5k
                sortslice_memmove(&dest, 1, &ssa, 1, k);
2542
33.5k
                na -= k;
2543
33.5k
                if (na == 0)
2544
9.61k
                    goto Succeed;
2545
33.5k
            }
2546
44.7k
            sortslice_copy_decr(&dest, &ssb);
2547
44.7k
            --nb;
2548
44.7k
            if (nb == 1)
2549
847
                goto CopyA;
2550
2551
43.8k
            k = gallop_left(ms, ssa.keys[0], baseb.keys, nb, nb-1);
2552
43.8k
            if (k < 0)
2553
0
                goto Fail;
2554
43.8k
            k = nb - k;
2555
43.8k
            bcount = k;
2556
43.8k
            if (k) {
2557
36.6k
                sortslice_advance(&dest, -k);
2558
36.6k
                sortslice_advance(&ssb, -k);
2559
36.6k
                sortslice_memcpy(&dest, 1, &ssb, 1, k);
2560
36.6k
                nb -= k;
2561
36.6k
                if (nb == 1)
2562
9.32k
                    goto CopyA;
2563
                /* nb==0 is impossible now if the comparison
2564
                 * function is consistent, but we can't assume
2565
                 * that it is.
2566
                 */
2567
27.3k
                if (nb == 0)
2568
0
                    goto Succeed;
2569
27.3k
            }
2570
34.5k
            sortslice_copy_decr(&dest, &ssa);
2571
34.5k
            --na;
2572
34.5k
            if (na == 0)
2573
791
                goto Succeed;
2574
34.5k
        } while (acount >= MIN_GALLOP || bcount >= MIN_GALLOP);
2575
11.2k
        ++min_gallop;           /* penalize it for leaving galloping mode */
2576
11.2k
        ms->min_gallop = min_gallop;
2577
11.2k
    }
2578
11.2k
Succeed:
2579
11.2k
    result = 0;
2580
11.2k
Fail:
2581
11.2k
    if (nb)
2582
11.2k
        sortslice_memcpy(&dest, -(nb-1), &baseb, 0, nb);
2583
11.2k
    return result;
2584
11.8k
CopyA:
2585
11.8k
    assert(nb == 1 && na > 0);
2586
    /* The first element of ssb belongs at the front of the merge. */
2587
11.8k
    sortslice_memmove(&dest, 1-na, &ssa, 1-na, na);
2588
11.8k
    sortslice_advance(&dest, -na);
2589
11.8k
    sortslice_advance(&ssa, -na);
2590
11.8k
    sortslice_copy(&dest, 0, &ssb, 0);
2591
11.8k
    return 0;
2592
11.2k
}
2593
2594
/* Merge the two runs at stack indices i and i+1.
2595
 * Returns 0 on success, -1 on error.
2596
 */
2597
static Py_ssize_t
2598
merge_at(MergeState *ms, Py_ssize_t i)
2599
65.8k
{
2600
65.8k
    sortslice ssa, ssb;
2601
65.8k
    Py_ssize_t na, nb;
2602
65.8k
    Py_ssize_t k;
2603
2604
65.8k
    assert(ms != NULL);
2605
65.8k
    assert(ms->n >= 2);
2606
65.8k
    assert(i >= 0);
2607
65.8k
    assert(i == ms->n - 2 || i == ms->n - 3);
2608
2609
65.8k
    ssa = ms->pending[i].base;
2610
65.8k
    na = ms->pending[i].len;
2611
65.8k
    ssb = ms->pending[i+1].base;
2612
65.8k
    nb = ms->pending[i+1].len;
2613
65.8k
    assert(na > 0 && nb > 0);
2614
65.8k
    assert(ssa.keys + na == ssb.keys);
2615
2616
    /* Record the length of the combined runs; if i is the 3rd-last
2617
     * run now, also slide over the last run (which isn't involved
2618
     * in this merge).  The current run i+1 goes away in any case.
2619
     */
2620
65.8k
    ms->pending[i].len = na + nb;
2621
65.8k
    if (i == ms->n - 3)
2622
380
        ms->pending[i+1] = ms->pending[i+2];
2623
65.8k
    --ms->n;
2624
2625
    /* Where does b start in a?  Elements in a before that can be
2626
     * ignored (already in place).
2627
     */
2628
65.8k
    k = gallop_right(ms, *ssb.keys, ssa.keys, na, 0);
2629
65.8k
    if (k < 0)
2630
0
        return -1;
2631
65.8k
    sortslice_advance(&ssa, k);
2632
65.8k
    na -= k;
2633
65.8k
    if (na == 0)
2634
560
        return 0;
2635
2636
    /* Where does a end in b?  Elements in b after that can be
2637
     * ignored (already in place).
2638
     */
2639
65.2k
    nb = gallop_left(ms, ssa.keys[na-1], ssb.keys, nb, nb-1);
2640
65.2k
    if (nb <= 0)
2641
0
        return nb;
2642
2643
    /* Merge what remains of the runs, using a temp array with
2644
     * min(na, nb) elements.
2645
     */
2646
65.2k
    if (na <= nb)
2647
42.1k
        return merge_lo(ms, ssa, na, ssb, nb);
2648
23.1k
    else
2649
23.1k
        return merge_hi(ms, ssa, na, ssb, nb);
2650
65.2k
}
2651
2652
/* Two adjacent runs begin at index s1. The first run has length n1, and
2653
 * the second run (starting at index s1+n1) has length n2. The list has total
2654
 * length n.
2655
 * Compute the "power" of the first run. See listsort.txt for details.
2656
 */
2657
static int
2658
powerloop(Py_ssize_t s1, Py_ssize_t n1, Py_ssize_t n2, Py_ssize_t n)
2659
65.8k
{
2660
65.8k
    int result = 0;
2661
65.8k
    assert(s1 >= 0);
2662
65.8k
    assert(n1 > 0 && n2 > 0);
2663
65.8k
    assert(s1 + n1 + n2 <= n);
2664
    /* midpoints a and b:
2665
     * a = s1 + n1/2
2666
     * b = s1 + n1 + n2/2 = a + (n1 + n2)/2
2667
     *
2668
     * Those may not be integers, though, because of the "/2". So we work with
2669
     * 2*a and 2*b instead, which are necessarily integers. It makes no
2670
     * difference to the outcome, since the bits in the expansion of (2*i)/n
2671
     * are merely shifted one position from those of i/n.
2672
     */
2673
65.8k
    Py_ssize_t a = 2 * s1 + n1;  /* 2*a */
2674
65.8k
    Py_ssize_t b = a + n1 + n2;  /* 2*b */
2675
    /* Emulate a/n and b/n one bit a time, until bits differ. */
2676
244k
    for (;;) {
2677
244k
        ++result;
2678
244k
        if (a >= n) {  /* both quotient bits are 1 */
2679
91.6k
            assert(b >= a);
2680
91.6k
            a -= n;
2681
91.6k
            b -= n;
2682
91.6k
        }
2683
152k
        else if (b >= n) {  /* a/n bit is 0, b/n bit is 1 */
2684
65.8k
            break;
2685
65.8k
        } /* else both quotient bits are 0 */
2686
244k
        assert(a < b && b < n);
2687
178k
        a <<= 1;
2688
178k
        b <<= 1;
2689
178k
    }
2690
65.8k
    return result;
2691
65.8k
}
2692
2693
/* The next run has been identified, of length n2.
2694
 * If there's already a run on the stack, apply the "powersort" merge strategy:
2695
 * compute the topmost run's "power" (depth in a conceptual binary merge tree)
2696
 * and merge adjacent runs on the stack with greater power. See listsort.txt
2697
 * for more info.
2698
 *
2699
 * It's the caller's responsibility to push the new run on the stack when this
2700
 * returns.
2701
 *
2702
 * Returns 0 on success, -1 on error.
2703
 */
2704
static int
2705
found_new_run(MergeState *ms, Py_ssize_t n2)
2706
468k
{
2707
468k
    assert(ms);
2708
468k
    if (ms->n) {
2709
65.8k
        assert(ms->n > 0);
2710
65.8k
        struct s_slice *p = ms->pending;
2711
65.8k
        Py_ssize_t s1 = p[ms->n - 1].base.keys - ms->basekeys; /* start index */
2712
65.8k
        Py_ssize_t n1 = p[ms->n - 1].len;
2713
65.8k
        int power = powerloop(s1, n1, n2, ms->listlen);
2714
106k
        while (ms->n > 1 && p[ms->n - 2].power > power) {
2715
40.2k
            if (merge_at(ms, ms->n - 2) < 0)
2716
0
                return -1;
2717
40.2k
        }
2718
65.8k
        assert(ms->n < 2 || p[ms->n - 2].power < power);
2719
65.8k
        p[ms->n - 1].power = power;
2720
65.8k
    }
2721
468k
    return 0;
2722
468k
}
2723
2724
/* Regardless of invariants, merge all runs on the stack until only one
2725
 * remains.  This is used at the end of the mergesort.
2726
 *
2727
 * Returns 0 on success, -1 on error.
2728
 */
2729
static int
2730
merge_force_collapse(MergeState *ms)
2731
402k
{
2732
402k
    struct s_slice *p = ms->pending;
2733
2734
402k
    assert(ms);
2735
428k
    while (ms->n > 1) {
2736
25.5k
        Py_ssize_t n = ms->n - 2;
2737
25.5k
        if (n > 0 && p[n-1].len < p[n+1].len)
2738
380
            --n;
2739
25.5k
        if (merge_at(ms, n) < 0)
2740
0
            return -1;
2741
25.5k
    }
2742
402k
    return 0;
2743
402k
}
2744
2745
/* Return the next minrun value to use. See listsort.txt. */
2746
Py_LOCAL_INLINE(Py_ssize_t)
2747
minrun_next(MergeState *ms)
2748
468k
{
2749
468k
    ms->mr_current += ms->listlen;
2750
468k
    assert(ms->mr_current >= 0); /* no overflow */
2751
468k
    Py_ssize_t result = ms->mr_current >> ms->mr_e;
2752
468k
    ms->mr_current &= ms->mr_mask;
2753
468k
    return result;
2754
468k
}
2755
2756
/* Here we define custom comparison functions to optimize for the cases one commonly
2757
 * encounters in practice: homogeneous lists, often of one of the basic types. */
2758
2759
/* This struct holds the comparison function and helper functions
2760
 * selected in the pre-sort check. */
2761
2762
/* These are the special case compare functions.
2763
 * ms->key_compare will always point to one of these: */
2764
2765
/* Heterogeneous compare: default, always safe to fall back on. */
2766
static int
2767
safe_object_compare(PyObject *v, PyObject *w, MergeState *ms)
2768
8.31k
{
2769
    /* No assumptions necessary! */
2770
8.31k
    return PyObject_RichCompareBool(v, w, Py_LT);
2771
8.31k
}
2772
2773
/* Homogeneous compare: safe for any two comparable objects of the same type.
2774
 * (ms->key_richcompare is set to ob_type->tp_richcompare in the
2775
 *  pre-sort check.)
2776
 */
2777
static int
2778
unsafe_object_compare(PyObject *v, PyObject *w, MergeState *ms)
2779
8.53M
{
2780
8.53M
    PyObject *res_obj; int res;
2781
2782
    /* No assumptions, because we check first: */
2783
8.53M
    if (Py_TYPE(v)->tp_richcompare != ms->key_richcompare)
2784
0
        return PyObject_RichCompareBool(v, w, Py_LT);
2785
2786
8.53M
    assert(ms->key_richcompare != NULL);
2787
8.53M
    res_obj = (*(ms->key_richcompare))(v, w, Py_LT);
2788
2789
8.53M
    if (res_obj == Py_NotImplemented) {
2790
0
        Py_DECREF(res_obj);
2791
0
        return PyObject_RichCompareBool(v, w, Py_LT);
2792
0
    }
2793
8.53M
    if (res_obj == NULL)
2794
0
        return -1;
2795
2796
8.53M
    if (PyBool_Check(res_obj)) {
2797
8.53M
        res = (res_obj == Py_True);
2798
8.53M
        assert(_Py_IsImmortal(res_obj));
2799
8.53M
    }
2800
0
    else {
2801
0
        res = PyObject_IsTrue(res_obj);
2802
0
        Py_DECREF(res_obj);
2803
0
    }
2804
2805
    /* Note that we can't assert
2806
     *     res == PyObject_RichCompareBool(v, w, Py_LT);
2807
     * because of evil compare functions like this:
2808
     *     lambda a, b:  int(random.random() * 3) - 1)
2809
     * (which is actually in test_sort.py) */
2810
8.53M
    return res;
2811
8.53M
}
2812
2813
/* Latin string compare: safe for any two latin (one byte per char) strings. */
2814
static int
2815
unsafe_latin_compare(PyObject *v, PyObject *w, MergeState *ms)
2816
3.63M
{
2817
3.63M
    Py_ssize_t len;
2818
3.63M
    int res;
2819
2820
    /* Modified from Objects/unicodeobject.c:unicode_compare, assuming: */
2821
3.63M
    assert(Py_IS_TYPE(v, &PyUnicode_Type));
2822
3.63M
    assert(Py_IS_TYPE(w, &PyUnicode_Type));
2823
3.63M
    assert(PyUnicode_KIND(v) == PyUnicode_KIND(w));
2824
3.63M
    assert(PyUnicode_KIND(v) == PyUnicode_1BYTE_KIND);
2825
2826
3.63M
    len = Py_MIN(PyUnicode_GET_LENGTH(v), PyUnicode_GET_LENGTH(w));
2827
3.63M
    res = memcmp(PyUnicode_DATA(v), PyUnicode_DATA(w), len);
2828
2829
3.63M
    res = (res != 0 ?
2830
3.56M
           res < 0 :
2831
3.63M
           PyUnicode_GET_LENGTH(v) < PyUnicode_GET_LENGTH(w));
2832
2833
3.63M
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));;
2834
3.63M
    return res;
2835
3.63M
}
2836
2837
/* Bounded int compare: compare any two longs that fit in a single machine word. */
2838
static int
2839
unsafe_long_compare(PyObject *v, PyObject *w, MergeState *ms)
2840
8.53M
{
2841
8.53M
    PyLongObject *vl, *wl;
2842
8.53M
    intptr_t v0, w0;
2843
8.53M
    int res;
2844
2845
    /* Modified from Objects/longobject.c:long_compare, assuming: */
2846
8.53M
    assert(Py_IS_TYPE(v, &PyLong_Type));
2847
8.53M
    assert(Py_IS_TYPE(w, &PyLong_Type));
2848
8.53M
    assert(_PyLong_IsCompact((PyLongObject *)v));
2849
8.53M
    assert(_PyLong_IsCompact((PyLongObject *)w));
2850
2851
8.53M
    vl = (PyLongObject*)v;
2852
8.53M
    wl = (PyLongObject*)w;
2853
2854
8.53M
    v0 = _PyLong_CompactValue(vl);
2855
8.53M
    w0 = _PyLong_CompactValue(wl);
2856
2857
8.53M
    res = v0 < w0;
2858
8.53M
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));
2859
8.53M
    return res;
2860
8.53M
}
2861
2862
/* Float compare: compare any two floats. */
2863
static int
2864
unsafe_float_compare(PyObject *v, PyObject *w, MergeState *ms)
2865
0
{
2866
0
    int res;
2867
2868
    /* Modified from Objects/floatobject.c:float_richcompare, assuming: */
2869
0
    assert(Py_IS_TYPE(v, &PyFloat_Type));
2870
0
    assert(Py_IS_TYPE(w, &PyFloat_Type));
2871
2872
0
    res = PyFloat_AS_DOUBLE(v) < PyFloat_AS_DOUBLE(w);
2873
0
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));
2874
0
    return res;
2875
0
}
2876
2877
/* Tuple compare: compare *any* two tuples, using
2878
 * ms->tuple_elem_compare to compare the first elements, which is set
2879
 * using the same pre-sort check as we use for ms->key_compare,
2880
 * but run on the list [x[0] for x in L]. This allows us to optimize compares
2881
 * on two levels (as long as [x[0] for x in L] is type-homogeneous.) The idea is
2882
 * that most tuple compares don't involve x[1:]. */
2883
static int
2884
unsafe_tuple_compare(PyObject *v, PyObject *w, MergeState *ms)
2885
4.55M
{
2886
4.55M
    PyTupleObject *vt, *wt;
2887
4.55M
    Py_ssize_t i, vlen, wlen;
2888
4.55M
    int k;
2889
2890
    /* Modified from Objects/tupleobject.c:tuplerichcompare, assuming: */
2891
4.55M
    assert(Py_IS_TYPE(v, &PyTuple_Type));
2892
4.55M
    assert(Py_IS_TYPE(w, &PyTuple_Type));
2893
4.55M
    assert(Py_SIZE(v) > 0);
2894
4.55M
    assert(Py_SIZE(w) > 0);
2895
2896
4.55M
    vt = (PyTupleObject *)v;
2897
4.55M
    wt = (PyTupleObject *)w;
2898
2899
4.55M
    vlen = Py_SIZE(vt);
2900
4.55M
    wlen = Py_SIZE(wt);
2901
2902
6.77M
    for (i = 0; i < vlen && i < wlen; i++) {
2903
5.66M
        k = PyObject_RichCompareBool(vt->ob_item[i], wt->ob_item[i], Py_EQ);
2904
5.66M
        if (k < 0)
2905
0
            return -1;
2906
5.66M
        if (!k)
2907
3.43M
            break;
2908
5.66M
    }
2909
2910
4.55M
    if (i >= vlen || i >= wlen)
2911
1.11M
        return vlen < wlen;
2912
2913
3.43M
    if (i == 0)
2914
3.43M
        return ms->tuple_elem_compare(vt->ob_item[i], wt->ob_item[i], ms);
2915
1.03k
    else
2916
1.03k
        return PyObject_RichCompareBool(vt->ob_item[i], wt->ob_item[i], Py_LT);
2917
3.43M
}
2918
2919
/* An adaptive, stable, natural mergesort.  See listsort.txt.
2920
 * Returns Py_None on success, NULL on error.  Even in case of error, the
2921
 * list will be some permutation of its input state (nothing is lost or
2922
 * duplicated).
2923
 */
2924
/*[clinic input]
2925
@permit_long_docstring_body
2926
@critical_section
2927
list.sort
2928
2929
    *
2930
    key as keyfunc: object = None
2931
    reverse: bool = False
2932
2933
Sort the list in ascending order and return None.
2934
2935
The sort is in-place (i.e. the list itself is modified) and stable (i.e. the
2936
order of two equal elements is maintained).
2937
2938
If a key function is given, apply it once to each list item and sort them,
2939
ascending or descending, according to their function values.
2940
2941
The reverse flag can be set to sort in descending order.
2942
[clinic start generated code]*/
2943
2944
static PyObject *
2945
list_sort_impl(PyListObject *self, PyObject *keyfunc, int reverse)
2946
/*[clinic end generated code: output=57b9f9c5e23fbe42 input=e4f6b6069181ad7d]*/
2947
4.29M
{
2948
4.29M
    MergeState ms;
2949
4.29M
    Py_ssize_t nremaining;
2950
4.29M
    Py_ssize_t minrun;
2951
4.29M
    sortslice lo;
2952
4.29M
    Py_ssize_t saved_ob_size, saved_allocated;
2953
4.29M
    PyObject **saved_ob_item;
2954
4.29M
    PyObject **final_ob_item;
2955
4.29M
    PyObject *result = NULL;            /* guilty until proved innocent */
2956
4.29M
    Py_ssize_t i;
2957
4.29M
    PyObject **keys;
2958
2959
4.29M
    assert(self != NULL);
2960
4.29M
    assert(PyList_Check(self));
2961
4.29M
    if (keyfunc == Py_None)
2962
3.69M
        keyfunc = NULL;
2963
2964
    /* The list is temporarily made empty, so that mutations performed
2965
     * by comparison functions can't affect the slice of memory we're
2966
     * sorting (allowing mutations during sorting is a core-dump
2967
     * factory, since ob_item may change).
2968
     */
2969
4.29M
    saved_ob_size = Py_SIZE(self);
2970
4.29M
    saved_ob_item = self->ob_item;
2971
4.29M
    saved_allocated = self->allocated;
2972
4.29M
    Py_SET_SIZE(self, 0);
2973
4.29M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, NULL);
2974
4.29M
    self->allocated = -1; /* any operation will reset it to >= 0 */
2975
2976
4.29M
    if (keyfunc == NULL) {
2977
3.71M
        keys = NULL;
2978
3.71M
        lo.keys = saved_ob_item;
2979
3.71M
        lo.values = NULL;
2980
3.71M
    }
2981
581k
    else {
2982
581k
        if (saved_ob_size < MERGESTATE_TEMP_SIZE/2)
2983
            /* Leverage stack space we allocated but won't otherwise use */
2984
578k
            keys = &ms.temparray[saved_ob_size+1];
2985
3.62k
        else {
2986
3.62k
            keys = PyMem_Malloc(sizeof(PyObject *) * saved_ob_size);
2987
3.62k
            if (keys == NULL) {
2988
0
                PyErr_NoMemory();
2989
0
                goto keyfunc_fail;
2990
0
            }
2991
3.62k
        }
2992
2993
5.04M
        for (i = 0; i < saved_ob_size ; i++) {
2994
4.45M
            keys[i] = PyObject_CallOneArg(keyfunc, saved_ob_item[i]);
2995
4.45M
            if (keys[i] == NULL) {
2996
0
                for (i=i-1 ; i>=0 ; i--)
2997
0
                    Py_DECREF(keys[i]);
2998
0
                if (saved_ob_size >= MERGESTATE_TEMP_SIZE/2)
2999
0
                    PyMem_Free(keys);
3000
0
                goto keyfunc_fail;
3001
0
            }
3002
4.45M
        }
3003
3004
581k
        lo.keys = keys;
3005
581k
        lo.values = saved_ob_item;
3006
581k
    }
3007
3008
3009
    /* The pre-sort check: here's where we decide which compare function to use.
3010
     * How much optimization is safe? We test for homogeneity with respect to
3011
     * several properties that are expensive to check at compare-time, and
3012
     * set ms appropriately. */
3013
4.29M
    if (saved_ob_size > 1) {
3014
        /* Assume the first element is representative of the whole list. */
3015
402k
        int keys_are_in_tuples = (Py_IS_TYPE(lo.keys[0], &PyTuple_Type) &&
3016
1.19k
                                  Py_SIZE(lo.keys[0]) > 0);
3017
3018
402k
        PyTypeObject* key_type = (keys_are_in_tuples ?
3019
1.19k
                                  Py_TYPE(PyTuple_GET_ITEM(lo.keys[0], 0)) :
3020
402k
                                  Py_TYPE(lo.keys[0]));
3021
3022
402k
        int keys_are_all_same_type = 1;
3023
402k
        int strings_are_latin = 1;
3024
402k
        int ints_are_bounded = 1;
3025
3026
        /* Prove that assumption by checking every key. */
3027
8.70M
        for (i=0; i < saved_ob_size; i++) {
3028
3029
8.30M
            if (keys_are_in_tuples &&
3030
2.27M
                !(Py_IS_TYPE(lo.keys[i], &PyTuple_Type) && Py_SIZE(lo.keys[i]) != 0)) {
3031
0
                keys_are_in_tuples = 0;
3032
0
                keys_are_all_same_type = 0;
3033
0
                break;
3034
0
            }
3035
3036
            /* Note: for lists of tuples, key is the first element of the tuple
3037
             * lo.keys[i], not lo.keys[i] itself! We verify type-homogeneity
3038
             * for lists of tuples in the if-statement directly above. */
3039
8.30M
            PyObject *key = (keys_are_in_tuples ?
3040
2.27M
                             PyTuple_GET_ITEM(lo.keys[i], 0) :
3041
8.30M
                             lo.keys[i]);
3042
3043
8.30M
            if (!Py_IS_TYPE(key, key_type)) {
3044
4
                keys_are_all_same_type = 0;
3045
                /* If keys are in tuple we must loop over the whole list to make
3046
                   sure all items are tuples */
3047
4
                if (!keys_are_in_tuples) {
3048
4
                    break;
3049
4
                }
3050
4
            }
3051
3052
8.30M
            if (keys_are_all_same_type) {
3053
8.30M
                if (key_type == &PyLong_Type &&
3054
6.23M
                    ints_are_bounded &&
3055
4.41M
                    !_PyLong_IsCompact((PyLongObject *)key)) {
3056
3057
5.43k
                    ints_are_bounded = 0;
3058
5.43k
                }
3059
8.29M
                else if (key_type == &PyUnicode_Type &&
3060
1.84M
                         strings_are_latin &&
3061
1.06M
                         PyUnicode_KIND(key) != PyUnicode_1BYTE_KIND) {
3062
3063
212k
                        strings_are_latin = 0;
3064
212k
                    }
3065
8.30M
                }
3066
8.30M
            }
3067
3068
        /* Choose the best compare, given what we now know about the keys. */
3069
402k
        if (keys_are_all_same_type) {
3070
3071
402k
            if (key_type == &PyUnicode_Type && strings_are_latin) {
3072
85.3k
                ms.key_compare = unsafe_latin_compare;
3073
85.3k
            }
3074
317k
            else if (key_type == &PyLong_Type && ints_are_bounded) {
3075
73.3k
                ms.key_compare = unsafe_long_compare;
3076
73.3k
            }
3077
243k
            else if (key_type == &PyFloat_Type) {
3078
0
                ms.key_compare = unsafe_float_compare;
3079
0
            }
3080
243k
            else if ((ms.key_richcompare = key_type->tp_richcompare) != NULL) {
3081
243k
                ms.key_compare = unsafe_object_compare;
3082
243k
            }
3083
0
            else {
3084
0
                ms.key_compare = safe_object_compare;
3085
0
            }
3086
402k
        }
3087
4
        else {
3088
4
            ms.key_compare = safe_object_compare;
3089
4
        }
3090
3091
402k
        if (keys_are_in_tuples) {
3092
            /* Make sure we're not dealing with tuples of tuples
3093
             * (remember: here, key_type refers list [key[0] for key in keys]) */
3094
1.19k
            if (key_type == &PyTuple_Type) {
3095
0
                ms.tuple_elem_compare = safe_object_compare;
3096
0
            }
3097
1.19k
            else {
3098
1.19k
                ms.tuple_elem_compare = ms.key_compare;
3099
1.19k
            }
3100
3101
1.19k
            ms.key_compare = unsafe_tuple_compare;
3102
1.19k
        }
3103
402k
    }
3104
    /* End of pre-sort check: ms is now set properly! */
3105
3106
4.29M
    merge_init(&ms, saved_ob_size, keys != NULL, &lo);
3107
3108
4.29M
    nremaining = saved_ob_size;
3109
4.29M
    if (nremaining < 2)
3110
3.89M
        goto succeed;
3111
3112
    /* Reverse sort stability achieved by initially reversing the list,
3113
    applying a stable forward sort, then reversing the final result. */
3114
402k
    if (reverse) {
3115
122
        if (keys != NULL)
3116
0
            reverse_slice(&keys[0], &keys[saved_ob_size]);
3117
122
        reverse_slice(&saved_ob_item[0], &saved_ob_item[saved_ob_size]);
3118
122
    }
3119
3120
    /* March over the array once, left to right, finding natural runs,
3121
     * and extending short natural runs to minrun elements.
3122
     */
3123
468k
    do {
3124
468k
        Py_ssize_t n;
3125
3126
        /* Identify next run. */
3127
468k
        n = count_run(&ms, &lo, nremaining);
3128
468k
        if (n < 0)
3129
0
            goto fail;
3130
        /* If short, extend to min(minrun, nremaining). */
3131
468k
        minrun = minrun_next(&ms);
3132
468k
        if (n < minrun) {
3133
285k
            const Py_ssize_t force = nremaining <= minrun ?
3134
237k
                              nremaining : minrun;
3135
285k
            if (binarysort(&ms, &lo, force, n) < 0)
3136
0
                goto fail;
3137
285k
            n = force;
3138
285k
        }
3139
        /* Maybe merge pending runs. */
3140
468k
        assert(ms.n == 0 || ms.pending[ms.n -1].base.keys +
3141
468k
                            ms.pending[ms.n-1].len == lo.keys);
3142
468k
        if (found_new_run(&ms, n) < 0)
3143
0
            goto fail;
3144
        /* Push new run on stack. */
3145
468k
        assert(ms.n < MAX_MERGE_PENDING);
3146
468k
        ms.pending[ms.n].base = lo;
3147
468k
        ms.pending[ms.n].len = n;
3148
468k
        ++ms.n;
3149
        /* Advance to find next run. */
3150
468k
        sortslice_advance(&lo, n);
3151
468k
        nremaining -= n;
3152
468k
    } while (nremaining);
3153
3154
402k
    if (merge_force_collapse(&ms) < 0)
3155
0
        goto fail;
3156
402k
    assert(ms.n == 1);
3157
402k
    assert(keys == NULL
3158
402k
           ? ms.pending[0].base.keys == saved_ob_item
3159
402k
           : ms.pending[0].base.keys == &keys[0]);
3160
402k
    assert(ms.pending[0].len == saved_ob_size);
3161
402k
    lo = ms.pending[0].base;
3162
3163
4.29M
succeed:
3164
4.29M
    result = Py_None;
3165
4.29M
fail:
3166
4.29M
    if (keys != NULL) {
3167
5.04M
        for (i = 0; i < saved_ob_size; i++)
3168
4.45M
            Py_DECREF(keys[i]);
3169
581k
        if (saved_ob_size >= MERGESTATE_TEMP_SIZE/2)
3170
3.62k
            PyMem_Free(keys);
3171
581k
    }
3172
3173
4.29M
    if (self->allocated != -1 && result != NULL) {
3174
        /* The user mucked with the list during the sort,
3175
         * and we don't already have another error to report.
3176
         */
3177
0
        PyErr_SetString(PyExc_ValueError, "list modified during sort");
3178
0
        result = NULL;
3179
0
    }
3180
3181
4.29M
    if (reverse && saved_ob_size > 1)
3182
122
        reverse_slice(saved_ob_item, saved_ob_item + saved_ob_size);
3183
3184
4.29M
    merge_freemem(&ms);
3185
3186
4.29M
keyfunc_fail:
3187
4.29M
    final_ob_item = self->ob_item;
3188
4.29M
    i = Py_SIZE(self);
3189
4.29M
    Py_SET_SIZE(self, saved_ob_size);
3190
4.29M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, saved_ob_item);
3191
4.29M
    FT_ATOMIC_STORE_SSIZE_RELAXED(self->allocated, saved_allocated);
3192
4.29M
    if (final_ob_item != NULL) {
3193
        /* we cannot use list_clear() for this because it does not
3194
           guarantee that the list is really empty when it returns */
3195
0
        while (--i >= 0) {
3196
0
            Py_XDECREF(final_ob_item[i]);
3197
0
        }
3198
#ifdef Py_GIL_DISABLED
3199
        ensure_shared_on_resize(self);
3200
        bool use_qsbr = _PyObject_GC_IS_SHARED(self);
3201
#else
3202
0
        bool use_qsbr = false;
3203
0
#endif
3204
0
        free_list_items(final_ob_item, use_qsbr);
3205
0
    }
3206
4.29M
    return Py_XNewRef(result);
3207
4.29M
}
3208
#undef IFLT
3209
#undef ISLT
3210
3211
int
3212
PyList_Sort(PyObject *v)
3213
20.0k
{
3214
20.0k
    if (v == NULL || !PyList_Check(v)) {
3215
0
        PyErr_BadInternalCall();
3216
0
        return -1;
3217
0
    }
3218
20.0k
    Py_BEGIN_CRITICAL_SECTION(v);
3219
20.0k
    v = list_sort_impl((PyListObject *)v, NULL, 0);
3220
20.0k
    Py_END_CRITICAL_SECTION();
3221
20.0k
    if (v == NULL)
3222
0
        return -1;
3223
20.0k
    Py_DECREF(v);
3224
20.0k
    return 0;
3225
20.0k
}
3226
3227
/*[clinic input]
3228
@critical_section
3229
list.reverse
3230
3231
Reverse *IN PLACE*.
3232
[clinic start generated code]*/
3233
3234
static PyObject *
3235
list_reverse_impl(PyListObject *self)
3236
/*[clinic end generated code: output=482544fc451abea9 input=04ac8e0c6a66e4d9]*/
3237
0
{
3238
0
    if (Py_SIZE(self) > 1)
3239
0
        reverse_slice(self->ob_item, self->ob_item + Py_SIZE(self));
3240
0
    Py_RETURN_NONE;
3241
0
}
3242
3243
int
3244
PyList_Reverse(PyObject *v)
3245
66
{
3246
66
    PyListObject *self = (PyListObject *)v;
3247
3248
66
    if (v == NULL || !PyList_Check(v)) {
3249
0
        PyErr_BadInternalCall();
3250
0
        return -1;
3251
0
    }
3252
66
    Py_BEGIN_CRITICAL_SECTION(self);
3253
66
    if (Py_SIZE(self) > 1) {
3254
66
        reverse_slice(self->ob_item, self->ob_item + Py_SIZE(self));
3255
66
    }
3256
66
    Py_END_CRITICAL_SECTION()
3257
66
    return 0;
3258
66
}
3259
3260
PyObject *
3261
PyList_AsTuple(PyObject *v)
3262
281k
{
3263
281k
    if (v == NULL || !PyList_Check(v)) {
3264
0
        PyErr_BadInternalCall();
3265
0
        return NULL;
3266
0
    }
3267
281k
    PyObject *ret;
3268
281k
    PyListObject *self = (PyListObject *)v;
3269
281k
    Py_BEGIN_CRITICAL_SECTION(self);
3270
281k
    ret = PyTuple_FromArray(self->ob_item, Py_SIZE(v));
3271
281k
    Py_END_CRITICAL_SECTION();
3272
281k
    return ret;
3273
281k
}
3274
3275
PyObject *
3276
_PyList_AsTupleAndClear(PyListObject *self)
3277
938
{
3278
938
    assert(self != NULL);
3279
938
    PyObject *ret;
3280
938
    if (self->ob_item == NULL) {
3281
0
        return PyTuple_New(0);
3282
0
    }
3283
938
    Py_BEGIN_CRITICAL_SECTION(self);
3284
938
    PyObject **items = self->ob_item;
3285
938
    Py_ssize_t size = Py_SIZE(self);
3286
938
    Py_SET_SIZE(self, 0);
3287
938
    ret = _PyTuple_FromArraySteal(items, size);
3288
938
    Py_END_CRITICAL_SECTION();
3289
938
    return ret;
3290
938
}
3291
3292
PyObject *
3293
_PyList_FromStackRefStealOnSuccess(const _PyStackRef *src, Py_ssize_t n)
3294
99.9M
{
3295
99.9M
    if (n == 0) {
3296
87.1M
        return PyList_New(0);
3297
87.1M
    }
3298
3299
12.7M
    PyListObject *list = (PyListObject *)PyList_New(n);
3300
12.7M
    if (list == NULL) {
3301
0
        return NULL;
3302
0
    }
3303
3304
12.7M
    PyObject **dst = list->ob_item;
3305
29.4M
    for (Py_ssize_t i = 0; i < n; i++) {
3306
16.7M
        dst[i] = PyStackRef_AsPyObjectSteal(src[i]);
3307
16.7M
    }
3308
3309
12.7M
    return (PyObject *)list;
3310
12.7M
}
3311
3312
/*[clinic input]
3313
list.index
3314
3315
    value: object
3316
    start: slice_index(accept={int}) = 0
3317
    stop: slice_index(accept={int}, c_default="PY_SSIZE_T_MAX") = sys.maxsize
3318
    /
3319
3320
Return first index of value.
3321
3322
Raises ValueError if the value is not present.
3323
[clinic start generated code]*/
3324
3325
static PyObject *
3326
list_index_impl(PyListObject *self, PyObject *value, Py_ssize_t start,
3327
                Py_ssize_t stop)
3328
/*[clinic end generated code: output=ec51b88787e4e481 input=40ec5826303a0eb1]*/
3329
0
{
3330
0
    if (start < 0) {
3331
0
        start += Py_SIZE(self);
3332
0
        if (start < 0)
3333
0
            start = 0;
3334
0
    }
3335
0
    if (stop < 0) {
3336
0
        stop += Py_SIZE(self);
3337
0
        if (stop < 0)
3338
0
            stop = 0;
3339
0
    }
3340
0
    for (Py_ssize_t i = start; i < stop; i++) {
3341
0
        PyObject *obj = list_get_item_ref(self, i);
3342
0
        if (obj == NULL) {
3343
            // out-of-bounds
3344
0
            break;
3345
0
        }
3346
0
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3347
0
        Py_DECREF(obj);
3348
0
        if (cmp > 0)
3349
0
            return PyLong_FromSsize_t(i);
3350
0
        else if (cmp < 0)
3351
0
            return NULL;
3352
0
    }
3353
0
    PyErr_SetString(PyExc_ValueError, "list.index(x): x not in list");
3354
0
    return NULL;
3355
0
}
3356
3357
/*[clinic input]
3358
list.count
3359
3360
     value: object
3361
     /
3362
3363
Return number of occurrences of value.
3364
[clinic start generated code]*/
3365
3366
static PyObject *
3367
list_count_impl(PyListObject *self, PyObject *value)
3368
/*[clinic end generated code: output=eff66f14aef2df86 input=3bdc3a5e6f749565]*/
3369
24
{
3370
24
    Py_ssize_t count = 0;
3371
144
    for (Py_ssize_t i = 0; ; i++) {
3372
144
        PyObject *obj = list_get_item_ref(self, i);
3373
144
        if (obj == NULL) {
3374
            // out-of-bounds
3375
24
            break;
3376
24
        }
3377
120
        if (obj == value) {
3378
96
           count++;
3379
96
           Py_DECREF(obj);
3380
96
           continue;
3381
96
        }
3382
24
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3383
24
        Py_DECREF(obj);
3384
24
        if (cmp > 0)
3385
0
            count++;
3386
24
        else if (cmp < 0)
3387
0
            return NULL;
3388
24
    }
3389
24
    return PyLong_FromSsize_t(count);
3390
24
}
3391
3392
/*[clinic input]
3393
@critical_section
3394
list.remove
3395
3396
     value: object
3397
     /
3398
3399
Remove first occurrence of value.
3400
3401
Raises ValueError if the value is not present.
3402
[clinic start generated code]*/
3403
3404
static PyObject *
3405
list_remove_impl(PyListObject *self, PyObject *value)
3406
/*[clinic end generated code: output=b9b76a6633b18778 input=26c813dbb95aa93b]*/
3407
15.9k
{
3408
15.9k
    Py_ssize_t i;
3409
3410
15.9k
    for (i = 0; i < Py_SIZE(self); i++) {
3411
15.9k
        PyObject *obj = self->ob_item[i];
3412
15.9k
        Py_INCREF(obj);
3413
15.9k
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3414
15.9k
        Py_DECREF(obj);
3415
15.9k
        if (cmp > 0) {
3416
15.9k
            if (list_ass_slice_lock_held(self, i, i+1, NULL) == 0)
3417
15.9k
                Py_RETURN_NONE;
3418
0
            return NULL;
3419
15.9k
        }
3420
24
        else if (cmp < 0)
3421
0
            return NULL;
3422
15.9k
    }
3423
2
    PyErr_SetString(PyExc_ValueError, "list.remove(x): x not in list");
3424
2
    return NULL;
3425
15.9k
}
3426
3427
static int
3428
list_traverse(PyObject *self, visitproc visit, void *arg)
3429
128M
{
3430
128M
    PyListObject *o = (PyListObject *)self;
3431
128M
    Py_ssize_t i;
3432
3433
421M
    for (i = Py_SIZE(o); --i >= 0; )
3434
292M
        Py_VISIT(o->ob_item[i]);
3435
128M
    return 0;
3436
128M
}
3437
3438
static PyObject *
3439
list_richcompare_impl(PyObject *v, PyObject *w, int op)
3440
137k
{
3441
137k
    PyListObject *vl, *wl;
3442
137k
    Py_ssize_t i;
3443
3444
137k
    if (!PyList_Check(v) || !PyList_Check(w))
3445
1.95k
        Py_RETURN_NOTIMPLEMENTED;
3446
3447
135k
    vl = (PyListObject *)v;
3448
135k
    wl = (PyListObject *)w;
3449
3450
135k
    if (Py_SIZE(vl) != Py_SIZE(wl) && (op == Py_EQ || op == Py_NE)) {
3451
        /* Shortcut: if the lengths differ, the lists differ */
3452
19.0k
        if (op == Py_EQ)
3453
19.0k
            Py_RETURN_FALSE;
3454
0
        else
3455
0
            Py_RETURN_TRUE;
3456
19.0k
    }
3457
3458
    /* Search for the first index where items are different */
3459
156k
    for (i = 0; i < Py_SIZE(vl) && i < Py_SIZE(wl); i++) {
3460
139k
        PyObject *vitem = vl->ob_item[i];
3461
139k
        PyObject *witem = wl->ob_item[i];
3462
139k
        if (vitem == witem) {
3463
35.8k
            continue;
3464
35.8k
        }
3465
3466
103k
        Py_INCREF(vitem);
3467
103k
        Py_INCREF(witem);
3468
103k
        int k = PyObject_RichCompareBool(vitem, witem, Py_EQ);
3469
103k
        Py_DECREF(vitem);
3470
103k
        Py_DECREF(witem);
3471
103k
        if (k < 0)
3472
0
            return NULL;
3473
103k
        if (!k)
3474
99.9k
            break;
3475
103k
    }
3476
3477
116k
    if (i >= Py_SIZE(vl) || i >= Py_SIZE(wl)) {
3478
        /* No more items to compare -- compare sizes */
3479
16.3k
        Py_RETURN_RICHCOMPARE(Py_SIZE(vl), Py_SIZE(wl), op);
3480
16.3k
    }
3481
3482
    /* We have an item that differs -- shortcuts for EQ/NE */
3483
99.9k
    if (op == Py_EQ) {
3484
99.8k
        Py_RETURN_FALSE;
3485
99.8k
    }
3486
28
    if (op == Py_NE) {
3487
28
        Py_RETURN_TRUE;
3488
28
    }
3489
3490
    /* Compare the final item again using the proper operator */
3491
0
    PyObject *vitem = vl->ob_item[i];
3492
0
    PyObject *witem = wl->ob_item[i];
3493
0
    Py_INCREF(vitem);
3494
0
    Py_INCREF(witem);
3495
0
    PyObject *result = PyObject_RichCompare(vl->ob_item[i], wl->ob_item[i], op);
3496
0
    Py_DECREF(vitem);
3497
0
    Py_DECREF(witem);
3498
0
    return result;
3499
28
}
3500
3501
static PyObject *
3502
list_richcompare(PyObject *v, PyObject *w, int op)
3503
137k
{
3504
137k
    PyObject *ret;
3505
137k
    Py_BEGIN_CRITICAL_SECTION2(v, w);
3506
137k
    ret = list_richcompare_impl(v, w, op);
3507
137k
    Py_END_CRITICAL_SECTION2()
3508
137k
    return ret;
3509
137k
}
3510
3511
/*[clinic input]
3512
list.__init__
3513
3514
    iterable: object(c_default="NULL") = ()
3515
    /
3516
3517
Built-in mutable sequence.
3518
3519
If no argument is given, the constructor creates a new empty list.
3520
The argument must be an iterable if specified.
3521
[clinic start generated code]*/
3522
3523
static int
3524
list___init___impl(PyListObject *self, PyObject *iterable)
3525
/*[clinic end generated code: output=0f3c21379d01de48 input=b3f3fe7206af8f6b]*/
3526
18.9M
{
3527
    /* Verify list invariants established by PyType_GenericAlloc() */
3528
18.9M
    assert(0 <= Py_SIZE(self));
3529
18.9M
    assert(Py_SIZE(self) <= self->allocated || self->allocated == -1);
3530
18.9M
    assert(self->ob_item != NULL ||
3531
18.9M
           self->allocated == 0 || self->allocated == -1);
3532
3533
    /* Empty previous contents */
3534
18.9M
    if (self->ob_item != NULL) {
3535
0
        Py_BEGIN_CRITICAL_SECTION(self);
3536
0
        list_clear(self);
3537
0
        Py_END_CRITICAL_SECTION();
3538
0
    }
3539
18.9M
    if (iterable != NULL) {
3540
9.52M
        if (_list_extend(self, iterable) < 0) {
3541
0
            return -1;
3542
0
        }
3543
9.52M
    }
3544
18.9M
    return 0;
3545
18.9M
}
3546
3547
static PyObject *
3548
list_vectorcall(PyObject *type, PyObject * const*args,
3549
                size_t nargsf, PyObject *kwnames)
3550
9.54M
{
3551
9.54M
    if (!_PyArg_NoKwnames("list", kwnames)) {
3552
0
        return NULL;
3553
0
    }
3554
9.54M
    Py_ssize_t nargs = PyVectorcall_NARGS(nargsf);
3555
9.54M
    if (!_PyArg_CheckPositional("list", nargs, 0, 1)) {
3556
0
        return NULL;
3557
0
    }
3558
3559
9.54M
    PyObject *list = PyType_GenericAlloc(_PyType_CAST(type), 0);
3560
9.54M
    if (list == NULL) {
3561
0
        return NULL;
3562
0
    }
3563
9.54M
    if (nargs) {
3564
9.52M
        if (list___init___impl((PyListObject *)list, args[0])) {
3565
0
            Py_DECREF(list);
3566
0
            return NULL;
3567
0
        }
3568
9.52M
    }
3569
9.54M
    return list;
3570
9.54M
}
3571
3572
3573
/*[clinic input]
3574
list.__sizeof__
3575
3576
Return the size of the list in memory, in bytes.
3577
[clinic start generated code]*/
3578
3579
static PyObject *
3580
list___sizeof___impl(PyListObject *self)
3581
/*[clinic end generated code: output=3417541f95f9a53e input=b8030a5d5ce8a187]*/
3582
0
{
3583
0
    size_t res = _PyObject_SIZE(Py_TYPE(self));
3584
#ifdef Py_GIL_DISABLED
3585
    PyObject **ob_item = _Py_atomic_load_ptr(&self->ob_item);
3586
    if (ob_item != NULL) {
3587
        res += list_capacity(ob_item) * sizeof(PyObject *);
3588
    }
3589
#else
3590
0
    res += (size_t)self->allocated * sizeof(PyObject *);
3591
0
#endif
3592
0
    return PyLong_FromSize_t(res);
3593
0
}
3594
3595
static PyObject *list_iter(PyObject *seq);
3596
static PyObject *list_subscript(PyObject*, PyObject*);
3597
3598
static PyMethodDef list_methods[] = {
3599
    {"__getitem__", list_subscript, METH_O|METH_COEXIST,
3600
     PyDoc_STR("__getitem__($self, index, /)\n--\n\nReturn self[index].")},
3601
    LIST___REVERSED___METHODDEF
3602
    LIST___SIZEOF___METHODDEF
3603
    PY_LIST_CLEAR_METHODDEF
3604
    LIST_COPY_METHODDEF
3605
    LIST_APPEND_METHODDEF
3606
    LIST_INSERT_METHODDEF
3607
    LIST_EXTEND_METHODDEF
3608
    LIST_POP_METHODDEF
3609
    LIST_REMOVE_METHODDEF
3610
    LIST_INDEX_METHODDEF
3611
    LIST_COUNT_METHODDEF
3612
    LIST_REVERSE_METHODDEF
3613
    LIST_SORT_METHODDEF
3614
    {"__class_getitem__", Py_GenericAlias, METH_O|METH_CLASS, PyDoc_STR("See PEP 585")},
3615
    {NULL,              NULL}           /* sentinel */
3616
};
3617
3618
static PySequenceMethods list_as_sequence = {
3619
    list_length,                                /* sq_length */
3620
    _PyList_Concat,                             /* sq_concat */
3621
    list_repeat,                                /* sq_repeat */
3622
    list_item,                                  /* sq_item */
3623
    0,                                          /* sq_slice */
3624
    list_ass_item,                              /* sq_ass_item */
3625
    0,                                          /* sq_ass_slice */
3626
    list_contains,                              /* sq_contains */
3627
    list_inplace_concat,                        /* sq_inplace_concat */
3628
    list_inplace_repeat,                        /* sq_inplace_repeat */
3629
};
3630
3631
static inline PyObject *
3632
list_slice_step_lock_held(PyListObject *a, Py_ssize_t start, Py_ssize_t step, Py_ssize_t len)
3633
379
{
3634
379
    PyListObject *np = (PyListObject *)list_new_prealloc(len);
3635
379
    if (np == NULL) {
3636
0
        return NULL;
3637
0
    }
3638
379
    size_t cur;
3639
379
    Py_ssize_t i;
3640
379
    PyObject **src = a->ob_item;
3641
379
    PyObject **dest = np->ob_item;
3642
3.52k
    for (cur = start, i = 0; i < len;
3643
3.14k
            cur += (size_t)step, i++) {
3644
3.14k
        PyObject *v = src[cur];
3645
3.14k
        dest[i] = Py_NewRef(v);
3646
3.14k
    }
3647
379
    Py_SET_SIZE(np, len);
3648
379
    return (PyObject *)np;
3649
379
}
3650
3651
static PyObject *
3652
list_slice_wrap(PyListObject *aa, Py_ssize_t start, Py_ssize_t stop, Py_ssize_t step)
3653
3.33M
{
3654
3.33M
    PyObject *res = NULL;
3655
3.33M
    Py_BEGIN_CRITICAL_SECTION(aa);
3656
3.33M
    Py_ssize_t len = PySlice_AdjustIndices(Py_SIZE(aa), &start, &stop, step);
3657
3.33M
    if (len <= 0) {
3658
412k
        res = PyList_New(0);
3659
412k
    }
3660
2.92M
    else if (step == 1) {
3661
2.92M
        res = list_slice_lock_held(aa, start, stop);
3662
2.92M
    }
3663
379
    else {
3664
379
        res = list_slice_step_lock_held(aa, start, step, len);
3665
379
    }
3666
3.33M
    Py_END_CRITICAL_SECTION();
3667
3.33M
    return res;
3668
3.33M
}
3669
3670
static inline PyObject*
3671
list_slice_subscript(PyObject* self, PyObject* item)
3672
3.33M
{
3673
3.33M
    assert(PyList_Check(self));
3674
3.33M
    assert(PySlice_Check(item));
3675
3.33M
    Py_ssize_t start, stop, step;
3676
3.33M
    if (PySlice_Unpack(item, &start, &stop, &step) < 0) {
3677
0
        return NULL;
3678
0
    }
3679
3.33M
    return list_slice_wrap((PyListObject *)self, start, stop, step);
3680
3.33M
}
3681
3682
PyObject *
3683
_PyList_SliceSubscript(PyObject* _self, PyObject* item)
3684
3.33M
{
3685
3.33M
    return list_slice_subscript(_self, item);
3686
3.33M
}
3687
3688
static PyObject *
3689
list_subscript(PyObject* _self, PyObject* item)
3690
25.2M
{
3691
25.2M
    PyListObject* self = (PyListObject*)_self;
3692
25.2M
    if (_PyIndex_Check(item)) {
3693
25.2M
        Py_ssize_t i;
3694
25.2M
        i = PyNumber_AsSsize_t(item, PyExc_IndexError);
3695
25.2M
        if (i == -1 && PyErr_Occurred())
3696
22
            return NULL;
3697
25.2M
        if (i < 0)
3698
19.5M
            i += PyList_GET_SIZE(self);
3699
25.2M
        return list_item((PyObject *)self, i);
3700
25.2M
    }
3701
262
    else if (PySlice_Check(item)) {
3702
262
        return list_slice_subscript(_self, item);
3703
262
    }
3704
0
    else {
3705
0
        PyErr_Format(PyExc_TypeError,
3706
0
                     "list indices must be integers or slices, not %.200s",
3707
0
                     Py_TYPE(item)->tp_name);
3708
0
        return NULL;
3709
0
    }
3710
25.2M
}
3711
3712
static Py_ssize_t
3713
adjust_slice_indexes(PyListObject *lst,
3714
                     Py_ssize_t *start, Py_ssize_t *stop,
3715
                     Py_ssize_t step)
3716
278k
{
3717
278k
    Py_ssize_t slicelength = PySlice_AdjustIndices(Py_SIZE(lst), start, stop,
3718
278k
                                                   step);
3719
3720
    /* Make sure s[5:2] = [..] inserts at the right place:
3721
        before 5, not before 2. */
3722
278k
    if ((step < 0 && *start < *stop) ||
3723
278k
        (step > 0 && *start > *stop))
3724
0
        *stop = *start;
3725
3726
278k
    return slicelength;
3727
278k
}
3728
3729
static int
3730
list_ass_subscript_lock_held(PyObject *_self, PyObject *item, PyObject *value)
3731
4.53M
{
3732
4.53M
    _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED(_self);
3733
3734
4.53M
    PyListObject *self = (PyListObject *)_self;
3735
4.53M
    if (_PyIndex_Check(item)) {
3736
4.25M
        Py_ssize_t i = PyNumber_AsSsize_t(item, PyExc_IndexError);
3737
4.25M
        if (i == -1 && PyErr_Occurred())
3738
0
            return -1;
3739
4.25M
        if (i < 0)
3740
4.25M
            i += PyList_GET_SIZE(self);
3741
4.25M
        return list_ass_item_lock_held(self, i, value);
3742
4.25M
    }
3743
278k
    else if (PySlice_Check(item)) {
3744
278k
        Py_ssize_t start, stop, step;
3745
3746
278k
        if (PySlice_Unpack(item, &start, &stop, &step) < 0) {
3747
0
            return -1;
3748
0
        }
3749
3750
278k
        if (value == NULL) {
3751
            /* delete slice */
3752
128
            PyObject **garbage;
3753
128
            size_t cur;
3754
128
            Py_ssize_t i;
3755
128
            int res;
3756
3757
128
            Py_ssize_t slicelength = adjust_slice_indexes(self, &start, &stop,
3758
128
                                                          step);
3759
3760
128
            if (step == 1)
3761
128
                return list_ass_slice_lock_held(self, start, stop, value);
3762
3763
0
            if (slicelength <= 0)
3764
0
                return 0;
3765
3766
0
            if (step < 0) {
3767
0
                stop = start + 1;
3768
0
                start = stop + step*(slicelength - 1) - 1;
3769
0
                step = -step;
3770
0
            }
3771
3772
0
            garbage = (PyObject**)
3773
0
                PyMem_Malloc(slicelength*sizeof(PyObject*));
3774
0
            if (!garbage) {
3775
0
                PyErr_NoMemory();
3776
0
                return -1;
3777
0
            }
3778
3779
            /* drawing pictures might help understand these for
3780
               loops. Basically, we memmove the parts of the
3781
               list that are *not* part of the slice: step-1
3782
               items for each item that is part of the slice,
3783
               and then tail end of the list that was not
3784
               covered by the slice */
3785
0
            for (cur = start, i = 0;
3786
0
                 cur < (size_t)stop;
3787
0
                 cur += step, i++) {
3788
0
                Py_ssize_t lim = step - 1;
3789
3790
0
                garbage[i] = PyList_GET_ITEM(self, cur);
3791
3792
0
                if (cur + step >= (size_t)Py_SIZE(self)) {
3793
0
                    lim = Py_SIZE(self) - cur - 1;
3794
0
                }
3795
3796
0
                memmove(self->ob_item + cur - i,
3797
0
                    self->ob_item + cur + 1,
3798
0
                    lim * sizeof(PyObject *));
3799
0
            }
3800
0
            cur = start + (size_t)slicelength * step;
3801
0
            if (cur < (size_t)Py_SIZE(self)) {
3802
0
                memmove(self->ob_item + cur - slicelength,
3803
0
                    self->ob_item + cur,
3804
0
                    (Py_SIZE(self) - cur) *
3805
0
                     sizeof(PyObject *));
3806
0
            }
3807
3808
0
            Py_SET_SIZE(self, Py_SIZE(self) - slicelength);
3809
0
            res = list_resize(self, Py_SIZE(self));
3810
3811
0
            for (i = 0; i < slicelength; i++) {
3812
0
                Py_DECREF(garbage[i]);
3813
0
            }
3814
0
            PyMem_Free(garbage);
3815
3816
0
            return res;
3817
0
        }
3818
277k
        else {
3819
            /* assign slice */
3820
277k
            PyObject *ins, *seq;
3821
277k
            PyObject **garbage, **seqitems, **selfitems;
3822
277k
            Py_ssize_t i;
3823
277k
            size_t cur;
3824
3825
            /* protect against a[::-1] = a */
3826
277k
            if (self == (PyListObject*)value) {
3827
0
                seq = list_slice_lock_held((PyListObject *)value, 0,
3828
0
                                            Py_SIZE(value));
3829
0
            }
3830
277k
            else {
3831
277k
                seq = PySequence_Fast(value,
3832
277k
                                      "must assign iterable "
3833
277k
                                      "to extended slice");
3834
277k
            }
3835
277k
            if (!seq)
3836
0
                return -1;
3837
3838
277k
            Py_ssize_t slicelength = adjust_slice_indexes(self, &start, &stop,
3839
277k
                                                          step);
3840
3841
277k
            if (step == 1) {
3842
277k
                int res = list_ass_slice_lock_held(self, start, stop, seq);
3843
277k
                Py_DECREF(seq);
3844
277k
                return res;
3845
277k
            }
3846
3847
0
            if (PySequence_Fast_GET_SIZE(seq) != slicelength) {
3848
0
                PyErr_Format(PyExc_ValueError,
3849
0
                    "attempt to assign sequence of "
3850
0
                    "size %zd to extended slice of "
3851
0
                    "size %zd",
3852
0
                         PySequence_Fast_GET_SIZE(seq),
3853
0
                         slicelength);
3854
0
                Py_DECREF(seq);
3855
0
                return -1;
3856
0
            }
3857
3858
0
            if (!slicelength) {
3859
0
                Py_DECREF(seq);
3860
0
                return 0;
3861
0
            }
3862
3863
0
            garbage = (PyObject**)
3864
0
                PyMem_Malloc(slicelength*sizeof(PyObject*));
3865
0
            if (!garbage) {
3866
0
                Py_DECREF(seq);
3867
0
                PyErr_NoMemory();
3868
0
                return -1;
3869
0
            }
3870
3871
0
            selfitems = self->ob_item;
3872
0
            seqitems = PySequence_Fast_ITEMS(seq);
3873
0
            for (cur = start, i = 0; i < slicelength;
3874
0
                 cur += (size_t)step, i++) {
3875
0
                garbage[i] = selfitems[cur];
3876
0
                ins = Py_NewRef(seqitems[i]);
3877
0
                FT_ATOMIC_STORE_PTR_RELEASE(selfitems[cur], ins);
3878
0
            }
3879
3880
0
            for (i = 0; i < slicelength; i++) {
3881
0
                Py_DECREF(garbage[i]);
3882
0
            }
3883
3884
0
            PyMem_Free(garbage);
3885
0
            Py_DECREF(seq);
3886
3887
0
            return 0;
3888
0
        }
3889
278k
    }
3890
0
    else {
3891
0
        PyErr_Format(PyExc_TypeError,
3892
0
                     "list indices must be integers or slices, not %.200s",
3893
0
                     Py_TYPE(item)->tp_name);
3894
0
        return -1;
3895
0
    }
3896
4.53M
}
3897
3898
static int
3899
list_ass_subscript(PyObject *self, PyObject *item, PyObject *value)
3900
4.53M
{
3901
4.53M
    int res;
3902
#ifdef Py_GIL_DISABLED
3903
    if (PySlice_Check(item) && value != NULL && PyList_CheckExact(value)) {
3904
        Py_BEGIN_CRITICAL_SECTION2(self, value);
3905
        res = list_ass_subscript_lock_held(self, item, value);
3906
        Py_END_CRITICAL_SECTION2();
3907
        return res;
3908
    }
3909
#endif
3910
4.53M
    Py_BEGIN_CRITICAL_SECTION(self);
3911
4.53M
    res = list_ass_subscript_lock_held(self, item, value);
3912
4.53M
    Py_END_CRITICAL_SECTION();
3913
4.53M
    return res;
3914
4.53M
}
3915
3916
static _PyObjectIndexPair
3917
list_iteritem(PyObject *obj, Py_ssize_t index)
3918
1.56M
{
3919
1.56M
    PyObject *result = list_get_item_ref((PyListObject *)obj, index);
3920
1.56M
    return (_PyObjectIndexPair) { .object = result, .index = index + 1 };
3921
1.56M
}
3922
3923
static PyMappingMethods list_as_mapping = {
3924
    list_length,
3925
    list_subscript,
3926
    list_ass_subscript
3927
};
3928
3929
PyTypeObject PyList_Type = {
3930
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
3931
    "list",
3932
    sizeof(PyListObject),
3933
    0,
3934
    list_dealloc,                               /* tp_dealloc */
3935
    0,                                          /* tp_vectorcall_offset */
3936
    0,                                          /* tp_getattr */
3937
    0,                                          /* tp_setattr */
3938
    0,                                          /* tp_as_async */
3939
    list_repr,                                  /* tp_repr */
3940
    0,                                          /* tp_as_number */
3941
    &list_as_sequence,                          /* tp_as_sequence */
3942
    &list_as_mapping,                           /* tp_as_mapping */
3943
    PyObject_HashNotImplemented,                /* tp_hash */
3944
    0,                                          /* tp_call */
3945
    0,                                          /* tp_str */
3946
    PyObject_GenericGetAttr,                    /* tp_getattro */
3947
    0,                                          /* tp_setattro */
3948
    0,                                          /* tp_as_buffer */
3949
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC |
3950
        Py_TPFLAGS_BASETYPE | Py_TPFLAGS_LIST_SUBCLASS |
3951
        _Py_TPFLAGS_MATCH_SELF | Py_TPFLAGS_SEQUENCE,  /* tp_flags */
3952
    list___init____doc__,                       /* tp_doc */
3953
    list_traverse,                              /* tp_traverse */
3954
    list_clear_slot,                            /* tp_clear */
3955
    list_richcompare,                           /* tp_richcompare */
3956
    0,                                          /* tp_weaklistoffset */
3957
    list_iter,                                  /* tp_iter */
3958
    0,                                          /* tp_iternext */
3959
    list_methods,                               /* tp_methods */
3960
    0,                                          /* tp_members */
3961
    0,                                          /* tp_getset */
3962
    0,                                          /* tp_base */
3963
    0,                                          /* tp_dict */
3964
    0,                                          /* tp_descr_get */
3965
    0,                                          /* tp_descr_set */
3966
    0,                                          /* tp_dictoffset */
3967
    list___init__,                              /* tp_init */
3968
    PyType_GenericAlloc,                        /* tp_alloc */
3969
    PyType_GenericNew,                          /* tp_new */
3970
    PyObject_GC_Del,                            /* tp_free */
3971
    .tp_vectorcall = list_vectorcall,
3972
    .tp_version_tag = _Py_TYPE_VERSION_LIST,
3973
    ._tp_iteritem = list_iteritem,
3974
};
3975
3976
/*********************** List Iterator **************************/
3977
3978
static void listiter_dealloc(PyObject *);
3979
static int listiter_traverse(PyObject *, visitproc, void *);
3980
static PyObject *listiter_next(PyObject *);
3981
static PyObject *listiter_len(PyObject *, PyObject *);
3982
static PyObject *listiter_reduce_general(void *_it, int forward);
3983
static PyObject *listiter_reduce(PyObject *, PyObject *);
3984
static PyObject *listiter_setstate(PyObject *, PyObject *state);
3985
3986
PyDoc_STRVAR(length_hint_doc, "Private method returning an estimate of len(list(it)).");
3987
PyDoc_STRVAR(reduce_doc, "Return state information for pickling.");
3988
PyDoc_STRVAR(setstate_doc, "Set state information for unpickling.");
3989
3990
static PyMethodDef listiter_methods[] = {
3991
    {"__length_hint__", listiter_len, METH_NOARGS, length_hint_doc},
3992
    {"__reduce__", listiter_reduce, METH_NOARGS, reduce_doc},
3993
    {"__setstate__", listiter_setstate, METH_O, setstate_doc},
3994
    {NULL,              NULL}           /* sentinel */
3995
};
3996
3997
PyTypeObject PyListIter_Type = {
3998
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
3999
    "list_iterator",                            /* tp_name */
4000
    sizeof(_PyListIterObject),                  /* tp_basicsize */
4001
    0,                                          /* tp_itemsize */
4002
    /* methods */
4003
    listiter_dealloc,               /* tp_dealloc */
4004
    0,                                          /* tp_vectorcall_offset */
4005
    0,                                          /* tp_getattr */
4006
    0,                                          /* tp_setattr */
4007
    0,                                          /* tp_as_async */
4008
    0,                                          /* tp_repr */
4009
    0,                                          /* tp_as_number */
4010
    0,                                          /* tp_as_sequence */
4011
    0,                                          /* tp_as_mapping */
4012
    0,                                          /* tp_hash */
4013
    0,                                          /* tp_call */
4014
    0,                                          /* tp_str */
4015
    PyObject_GenericGetAttr,                    /* tp_getattro */
4016
    0,                                          /* tp_setattro */
4017
    0,                                          /* tp_as_buffer */
4018
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,/* tp_flags */
4019
    0,                                          /* tp_doc */
4020
    listiter_traverse,                          /* tp_traverse */
4021
    0,                                          /* tp_clear */
4022
    0,                                          /* tp_richcompare */
4023
    0,                                          /* tp_weaklistoffset */
4024
    PyObject_SelfIter,                          /* tp_iter */
4025
    listiter_next,                              /* tp_iternext */
4026
    listiter_methods,                           /* tp_methods */
4027
    0,                                          /* tp_members */
4028
};
4029
4030
4031
static PyObject *
4032
list_iter(PyObject *seq)
4033
27.7M
{
4034
27.7M
    if (!PyList_Check(seq)) {
4035
0
        PyErr_BadInternalCall();
4036
0
        return NULL;
4037
0
    }
4038
27.7M
    _PyListIterObject *it = _Py_FREELIST_POP(_PyListIterObject, list_iters);
4039
27.7M
    if (it == NULL) {
4040
1.85M
        it = PyObject_GC_New(_PyListIterObject, &PyListIter_Type);
4041
1.85M
        if (it == NULL) {
4042
0
            return NULL;
4043
0
        }
4044
1.85M
    }
4045
27.7M
    it->it_index = 0;
4046
27.7M
    it->it_seq = (PyListObject *)Py_NewRef(seq);
4047
27.7M
    _PyObject_GC_TRACK(it);
4048
27.7M
    return (PyObject *)it;
4049
27.7M
}
4050
4051
static void
4052
listiter_dealloc(PyObject *self)
4053
27.7M
{
4054
27.7M
    _PyListIterObject *it = (_PyListIterObject *)self;
4055
27.7M
    _PyObject_GC_UNTRACK(it);
4056
27.7M
    Py_XDECREF(it->it_seq);
4057
27.7M
    assert(Py_IS_TYPE(self, &PyListIter_Type));
4058
27.7M
    _Py_FREELIST_FREE(list_iters, it, PyObject_GC_Del);
4059
27.7M
}
4060
4061
static int
4062
listiter_traverse(PyObject *it, visitproc visit, void *arg)
4063
499k
{
4064
499k
    Py_VISIT(((_PyListIterObject *)it)->it_seq);
4065
499k
    return 0;
4066
499k
}
4067
4068
static PyObject *
4069
listiter_next(PyObject *self)
4070
137M
{
4071
137M
    _PyListIterObject *it = (_PyListIterObject *)self;
4072
137M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4073
137M
    if (index < 0) {
4074
175
        return NULL;
4075
175
    }
4076
4077
137M
    PyObject *item = list_get_item_ref(it->it_seq, index);
4078
137M
    if (item == NULL) {
4079
        // out-of-bounds
4080
27.2M
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, -1);
4081
27.2M
#ifndef Py_GIL_DISABLED
4082
27.2M
        PyListObject *seq = it->it_seq;
4083
27.2M
        it->it_seq = NULL;
4084
27.2M
        Py_DECREF(seq);
4085
27.2M
#endif
4086
27.2M
        return NULL;
4087
27.2M
    }
4088
109M
    FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index + 1);
4089
109M
    return item;
4090
137M
}
4091
4092
static PyObject *
4093
listiter_len(PyObject *self, PyObject *Py_UNUSED(ignored))
4094
1.19M
{
4095
1.19M
    assert(self != NULL);
4096
1.19M
    _PyListIterObject *it = (_PyListIterObject *)self;
4097
1.19M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4098
1.19M
    if (index >= 0) {
4099
1.19M
        Py_ssize_t len = PyList_GET_SIZE(it->it_seq) - index;
4100
1.19M
        if (len >= 0)
4101
1.19M
            return PyLong_FromSsize_t(len);
4102
1.19M
    }
4103
0
    return PyLong_FromLong(0);
4104
1.19M
}
4105
4106
static PyObject *
4107
listiter_reduce(PyObject *it, PyObject *Py_UNUSED(ignored))
4108
0
{
4109
0
    return listiter_reduce_general(it, 1);
4110
0
}
4111
4112
static PyObject *
4113
listiter_setstate(PyObject *self, PyObject *state)
4114
0
{
4115
0
    _PyListIterObject *it = (_PyListIterObject *)self;
4116
0
    Py_ssize_t index = PyLong_AsSsize_t(state);
4117
0
    if (index == -1 && PyErr_Occurred())
4118
0
        return NULL;
4119
0
    if (it->it_seq != NULL) {
4120
0
        if (index < -1)
4121
0
            index = -1;
4122
0
        else if (index > PyList_GET_SIZE(it->it_seq))
4123
0
            index = PyList_GET_SIZE(it->it_seq); /* iterator exhausted */
4124
0
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index);
4125
0
    }
4126
0
    Py_RETURN_NONE;
4127
0
}
4128
4129
/*********************** List Reverse Iterator **************************/
4130
4131
typedef struct {
4132
    PyObject_HEAD
4133
    Py_ssize_t it_index;
4134
    PyListObject *it_seq; /* Set to NULL when iterator is exhausted */
4135
} listreviterobject;
4136
4137
static void listreviter_dealloc(PyObject *);
4138
static int listreviter_traverse(PyObject *, visitproc, void *);
4139
static PyObject *listreviter_next(PyObject *);
4140
static PyObject *listreviter_len(PyObject *, PyObject *);
4141
static PyObject *listreviter_reduce(PyObject *, PyObject *);
4142
static PyObject *listreviter_setstate(PyObject *, PyObject *);
4143
4144
static PyMethodDef listreviter_methods[] = {
4145
    {"__length_hint__", listreviter_len, METH_NOARGS, length_hint_doc},
4146
    {"__reduce__", listreviter_reduce, METH_NOARGS, reduce_doc},
4147
    {"__setstate__", listreviter_setstate, METH_O, setstate_doc},
4148
    {NULL,              NULL}           /* sentinel */
4149
};
4150
4151
PyTypeObject PyListRevIter_Type = {
4152
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
4153
    "list_reverseiterator",                     /* tp_name */
4154
    sizeof(listreviterobject),                  /* tp_basicsize */
4155
    0,                                          /* tp_itemsize */
4156
    /* methods */
4157
    listreviter_dealloc,                        /* tp_dealloc */
4158
    0,                                          /* tp_vectorcall_offset */
4159
    0,                                          /* tp_getattr */
4160
    0,                                          /* tp_setattr */
4161
    0,                                          /* tp_as_async */
4162
    0,                                          /* tp_repr */
4163
    0,                                          /* tp_as_number */
4164
    0,                                          /* tp_as_sequence */
4165
    0,                                          /* tp_as_mapping */
4166
    0,                                          /* tp_hash */
4167
    0,                                          /* tp_call */
4168
    0,                                          /* tp_str */
4169
    PyObject_GenericGetAttr,                    /* tp_getattro */
4170
    0,                                          /* tp_setattro */
4171
    0,                                          /* tp_as_buffer */
4172
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,/* tp_flags */
4173
    0,                                          /* tp_doc */
4174
    listreviter_traverse,                       /* tp_traverse */
4175
    0,                                          /* tp_clear */
4176
    0,                                          /* tp_richcompare */
4177
    0,                                          /* tp_weaklistoffset */
4178
    PyObject_SelfIter,                          /* tp_iter */
4179
    listreviter_next,                           /* tp_iternext */
4180
    listreviter_methods,                /* tp_methods */
4181
    0,
4182
};
4183
4184
/*[clinic input]
4185
list.__reversed__
4186
4187
Return a reverse iterator over the list.
4188
[clinic start generated code]*/
4189
4190
static PyObject *
4191
list___reversed___impl(PyListObject *self)
4192
/*[clinic end generated code: output=b166f073208c888c input=eadb6e17f8a6a280]*/
4193
40.3M
{
4194
40.3M
    listreviterobject *it;
4195
4196
40.3M
    it = PyObject_GC_New(listreviterobject, &PyListRevIter_Type);
4197
40.3M
    if (it == NULL)
4198
0
        return NULL;
4199
40.3M
    assert(PyList_Check(self));
4200
40.3M
    it->it_index = PyList_GET_SIZE(self) - 1;
4201
40.3M
    it->it_seq = (PyListObject*)Py_NewRef(self);
4202
40.3M
    PyObject_GC_Track(it);
4203
40.3M
    return (PyObject *)it;
4204
40.3M
}
4205
4206
static void
4207
listreviter_dealloc(PyObject *self)
4208
40.3M
{
4209
40.3M
    listreviterobject *it = (listreviterobject *)self;
4210
40.3M
    PyObject_GC_UnTrack(it);
4211
40.3M
    Py_XDECREF(it->it_seq);
4212
40.3M
    PyObject_GC_Del(it);
4213
40.3M
}
4214
4215
static int
4216
listreviter_traverse(PyObject *it, visitproc visit, void *arg)
4217
12.0k
{
4218
12.0k
    Py_VISIT(((listreviterobject *)it)->it_seq);
4219
12.0k
    return 0;
4220
12.0k
}
4221
4222
static PyObject *
4223
listreviter_next(PyObject *self)
4224
50.1M
{
4225
50.1M
    listreviterobject *it = (listreviterobject *)self;
4226
50.1M
    assert(it != NULL);
4227
50.1M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4228
50.1M
    if (index < 0) {
4229
26.1M
        return NULL;
4230
26.1M
    }
4231
4232
24.0M
    PyListObject *seq = it->it_seq;
4233
24.0M
    assert(PyList_Check(seq));
4234
24.0M
    PyObject *item = list_get_item_ref(seq, index);
4235
24.0M
    if (item != NULL) {
4236
24.0M
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index - 1);
4237
24.0M
        return item;
4238
24.0M
    }
4239
0
    FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, -1);
4240
0
#ifndef Py_GIL_DISABLED
4241
0
    it->it_seq = NULL;
4242
0
    Py_DECREF(seq);
4243
0
#endif
4244
0
    return NULL;
4245
24.0M
}
4246
4247
static PyObject *
4248
listreviter_len(PyObject *self, PyObject *Py_UNUSED(ignored))
4249
0
{
4250
0
    listreviterobject *it = (listreviterobject *)self;
4251
0
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4252
0
    Py_ssize_t len = index + 1;
4253
0
    if (it->it_seq == NULL || PyList_GET_SIZE(it->it_seq) < len)
4254
0
        len = 0;
4255
0
    return PyLong_FromSsize_t(len);
4256
0
}
4257
4258
static PyObject *
4259
listreviter_reduce(PyObject *it, PyObject *Py_UNUSED(ignored))
4260
0
{
4261
0
    return listiter_reduce_general(it, 0);
4262
0
}
4263
4264
static PyObject *
4265
listreviter_setstate(PyObject *self, PyObject *state)
4266
0
{
4267
0
    listreviterobject *it = (listreviterobject *)self;
4268
0
    Py_ssize_t index = PyLong_AsSsize_t(state);
4269
0
    if (index == -1 && PyErr_Occurred())
4270
0
        return NULL;
4271
0
    if (it->it_seq != NULL) {
4272
0
        if (index < -1)
4273
0
            index = -1;
4274
0
        else if (index > PyList_GET_SIZE(it->it_seq) - 1)
4275
0
            index = PyList_GET_SIZE(it->it_seq) - 1;
4276
0
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index);
4277
0
    }
4278
0
    Py_RETURN_NONE;
4279
0
}
4280
4281
/* common pickling support */
4282
4283
static PyObject *
4284
listiter_reduce_general(void *_it, int forward)
4285
0
{
4286
0
    PyObject *list;
4287
0
    PyObject *iter;
4288
4289
    /* _PyEval_GetBuiltin can invoke arbitrary code,
4290
     * call must be before access of iterator pointers.
4291
     * see issue #101765 */
4292
4293
0
    if (forward) {
4294
0
        iter = _PyEval_GetBuiltin(&_Py_ID(iter));
4295
0
        _PyListIterObject *it = (_PyListIterObject *)_it;
4296
0
        Py_ssize_t idx = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4297
0
        if (idx >= 0) {
4298
0
            return Py_BuildValue("N(O)n", iter, it->it_seq, idx);
4299
0
        }
4300
0
    } else {
4301
0
        iter = _PyEval_GetBuiltin(&_Py_ID(reversed));
4302
0
        listreviterobject *it = (listreviterobject *)_it;
4303
0
        Py_ssize_t idx = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4304
0
        if (idx >= 0) {
4305
0
            return Py_BuildValue("N(O)n", iter, it->it_seq, idx);
4306
0
        }
4307
0
    }
4308
    /* empty iterator, create an empty list */
4309
0
    list = PyList_New(0);
4310
0
    if (list == NULL) {
4311
0
        Py_DECREF(iter);
4312
0
        return NULL;
4313
0
    }
4314
0
    return Py_BuildValue("N(N)", iter, list);
4315
0
}