Coverage Report

Created: 2026-07-14 06:16

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
133M
{
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
133M
    PyMem_Free(items);
72
133M
#endif
73
133M
}
74
75
static void
76
ensure_shared_on_resize(PyListObject *self)
77
97.6M
{
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
97.6M
}
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
107M
{
106
107M
    size_t new_allocated, target_bytes;
107
107M
    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
107M
    if (allocated >= newsize && newsize >= (allocated >> 1)) {
114
10.0M
        assert(self->ob_item != NULL || newsize == 0);
115
10.0M
        Py_SET_SIZE(self, newsize);
116
10.0M
        return 0;
117
10.0M
    }
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
97.6M
    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
97.6M
    if (newsize - Py_SIZE(self) > (Py_ssize_t)(new_allocated - newsize))
134
394k
        new_allocated = ((size_t)newsize + 3) & ~(size_t)3;
135
136
97.6M
    if (newsize == 0)
137
30.9k
        new_allocated = 0;
138
139
97.6M
    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
97.6M
    PyObject **items;
173
97.6M
    if (new_allocated <= (size_t)PY_SSIZE_T_MAX / sizeof(PyObject *)) {
174
97.6M
        target_bytes = new_allocated * sizeof(PyObject *);
175
97.6M
        items = (PyObject **)PyMem_Realloc(self->ob_item, target_bytes);
176
97.6M
    }
177
0
    else {
178
        // integer overflow
179
0
        items = NULL;
180
0
    }
181
97.6M
    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
97.6M
    self->ob_item = items;
191
97.6M
    Py_SET_SIZE(self, newsize);
192
97.6M
    self->allocated = new_allocated;
193
97.6M
#endif
194
97.6M
    return 0;
195
97.6M
}
196
197
static int
198
list_preallocate_exact(PyListObject *self, Py_ssize_t size)
199
8.93M
{
200
8.93M
    PyObject **items;
201
8.93M
    assert(self->ob_item == NULL);
202
8.93M
    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
8.93M
    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
8.93M
    items = PyMem_New(PyObject*, size);
220
8.93M
    if (items == NULL) {
221
0
        PyErr_NoMemory();
222
0
        return -1;
223
0
    }
224
8.93M
#endif
225
8.93M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, items);
226
8.93M
    self->allocated = size;
227
8.93M
    return 0;
228
8.93M
}
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
221M
{
243
221M
    if (size < 0) {
244
0
        PyErr_BadInternalCall();
245
0
        return NULL;
246
0
    }
247
248
221M
    PyListObject *op = _Py_FREELIST_POP(PyListObject, lists);
249
221M
    if (op == NULL) {
250
44.0M
        op = PyObject_GC_New(PyListObject, &PyList_Type);
251
44.0M
        if (op == NULL) {
252
0
            return NULL;
253
0
        }
254
44.0M
    }
255
221M
    if (size <= 0) {
256
180M
        op->ob_item = NULL;
257
180M
    }
258
41.8M
    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
41.8M
        op->ob_item = (PyObject **) PyMem_Calloc(size, sizeof(PyObject *));
269
41.8M
#endif
270
41.8M
        if (op->ob_item == NULL) {
271
0
            Py_DECREF(op);
272
0
            return PyErr_NoMemory();
273
0
        }
274
41.8M
    }
275
221M
    Py_SET_SIZE(op, size);
276
221M
    op->allocated = size;
277
221M
    _PyObject_GC_TRACK(op);
278
221M
    return (PyObject *) op;
279
221M
}
280
281
static PyObject *
282
list_new_prealloc(Py_ssize_t size)
283
17.0M
{
284
17.0M
    assert(size > 0);
285
17.0M
    PyListObject *op = (PyListObject *) PyList_New(0);
286
17.0M
    if (op == NULL) {
287
0
        return NULL;
288
0
    }
289
17.0M
    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
17.0M
    op->ob_item = PyMem_New(PyObject *, size);
299
17.0M
    if (op->ob_item == NULL) {
300
0
        Py_DECREF(op);
301
0
        return PyErr_NoMemory();
302
0
    }
303
17.0M
#endif
304
17.0M
    op->allocated = size;
305
17.0M
    return (PyObject *) op;
306
17.0M
}
307
308
Py_ssize_t
309
PyList_Size(PyObject *op)
310
74.7k
{
311
74.7k
    if (!PyList_Check(op)) {
312
0
        PyErr_BadInternalCall();
313
0
        return -1;
314
0
    }
315
74.7k
    else {
316
74.7k
        return PyList_GET_SIZE(op);
317
74.7k
    }
318
74.7k
}
319
320
static inline int
321
valid_index(Py_ssize_t i, Py_ssize_t limit)
322
274M
{
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
274M
    return (size_t) i < (size_t) limit;
331
274M
}
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
204M
{
383
204M
    if (!valid_index(i, Py_SIZE(op))) {
384
32.7M
        return NULL;
385
32.7M
    }
386
172M
    return Py_NewRef(PyList_GET_ITEM(op, i));
387
204M
}
388
#endif
389
390
PyObject *
391
PyList_GetItem(PyObject *op, Py_ssize_t i)
392
116
{
393
116
    if (!PyList_Check(op)) {
394
0
        PyErr_BadInternalCall();
395
0
        return NULL;
396
0
    }
397
116
    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
116
    return ((PyListObject *)op) -> ob_item[i];
403
116
}
404
405
PyObject *
406
PyList_GetItemRef(PyObject *op, Py_ssize_t i)
407
138k
{
408
138k
    if (!PyList_Check(op)) {
409
0
        PyErr_SetString(PyExc_TypeError, "expected a list");
410
0
        return NULL;
411
0
    }
412
138k
    PyObject *item = list_get_item_ref((PyListObject *)op, i);
413
138k
    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
138k
    return item;
419
138k
}
420
421
PyObject *
422
_PyList_GetItemRef(PyListObject *list, Py_ssize_t i)
423
1.12M
{
424
1.12M
    return list_get_item_ref(list, i);
425
1.12M
}
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
14.5M
{
457
14.5M
    if (!PyList_Check(op)) {
458
0
        Py_XDECREF(newitem);
459
0
        PyErr_BadInternalCall();
460
0
        return -1;
461
0
    }
462
14.5M
    int ret;
463
14.5M
    PyListObject *self = ((PyListObject *)op);
464
14.5M
    Py_BEGIN_CRITICAL_SECTION(self);
465
14.5M
    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
14.5M
    PyObject *tmp = self->ob_item[i];
473
14.5M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[i], newitem);
474
14.5M
    Py_XDECREF(tmp);
475
14.5M
    ret = 0;
476
14.5M
end:;
477
14.5M
    Py_END_CRITICAL_SECTION();
478
14.5M
    return ret;
479
14.5M
}
480
481
static int
482
ins1(PyListObject *self, Py_ssize_t where, PyObject *v)
483
80
{
484
80
    Py_ssize_t i, n = Py_SIZE(self);
485
80
    PyObject **items;
486
80
    if (v == NULL) {
487
0
        PyErr_BadInternalCall();
488
0
        return -1;
489
0
    }
490
491
80
    assert((size_t)n + 1 < PY_SSIZE_T_MAX);
492
80
    if (list_resize(self, n+1) < 0)
493
0
        return -1;
494
495
80
    if (where < 0) {
496
0
        where += n;
497
0
        if (where < 0)
498
0
            where = 0;
499
0
    }
500
80
    if (where > n)
501
0
        where = n;
502
80
    items = self->ob_item;
503
126
    for (i = n; --i >= where; )
504
46
        FT_ATOMIC_STORE_PTR_RELEASE(items[i+1], items[i]);
505
80
    FT_ATOMIC_STORE_PTR_RELEASE(items[where], Py_NewRef(v));
506
80
    return 0;
507
80
}
508
509
int
510
PyList_Insert(PyObject *op, Py_ssize_t where, PyObject *newitem)
511
38
{
512
38
    if (!PyList_Check(op)) {
513
0
        PyErr_BadInternalCall();
514
0
        return -1;
515
0
    }
516
38
    PyListObject *self = (PyListObject *)op;
517
38
    int err;
518
38
    Py_BEGIN_CRITICAL_SECTION(self);
519
38
    err = ins1(self, where, newitem);
520
38
    Py_END_CRITICAL_SECTION();
521
38
    return err;
522
38
}
523
524
/* internal, used by _PyList_AppendTakeRef */
525
int
526
_PyList_AppendTakeRefListResize(PyListObject *self, PyObject *newitem)
527
72.7M
{
528
72.7M
    Py_ssize_t len = Py_SIZE(self);
529
72.7M
    assert(self->allocated == -1 || self->allocated == len);
530
72.7M
    if (list_resize(self, len + 1) < 0) {
531
0
        Py_DECREF(newitem);
532
0
        return -1;
533
0
    }
534
72.7M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[len], newitem);
535
72.7M
    return 0;
536
72.7M
}
537
538
int
539
PyList_Append(PyObject *op, PyObject *newitem)
540
113M
{
541
113M
    if (PyList_Check(op) && (newitem != NULL)) {
542
113M
        int ret;
543
113M
        Py_BEGIN_CRITICAL_SECTION(op);
544
113M
        ret = _PyList_AppendTakeRef((PyListObject *)op, Py_NewRef(newitem));
545
113M
        Py_END_CRITICAL_SECTION();
546
113M
        return ret;
547
113M
    }
548
0
    PyErr_BadInternalCall();
549
0
    return -1;
550
113M
}
551
552
/* Methods */
553
554
static void
555
list_dealloc(PyObject *self)
556
243M
{
557
243M
    PyListObject *op = (PyListObject *)self;
558
243M
    Py_ssize_t i;
559
243M
    PyObject_GC_UnTrack(op);
560
243M
    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
124M
        i = Py_SIZE(op);
566
2.06G
        while (--i >= 0) {
567
1.94G
            Py_XDECREF(op->ob_item[i]);
568
1.94G
        }
569
124M
        free_list_items(op->ob_item, false);
570
124M
        op->ob_item = NULL;
571
124M
    }
572
243M
    if (PyList_CheckExact(op)) {
573
232M
        _Py_FREELIST_FREE(lists, op, PyObject_GC_Del);
574
232M
    }
575
10.9M
    else {
576
10.9M
        PyObject_GC_Del(op);
577
10.9M
    }
578
243M
}
579
580
static PyObject *
581
list_repr_impl(PyListObject *v)
582
3.60M
{
583
3.60M
    int res = Py_ReprEnter((PyObject*)v);
584
3.60M
    if (res != 0) {
585
0
        return (res > 0 ? PyUnicode_FromString("[...]") : NULL);
586
0
    }
587
588
    /* "[" + "1" + ", 2" * (len - 1) + "]" */
589
3.60M
    Py_ssize_t prealloc = 1 + 1 + (2 + 1) * (Py_SIZE(v) - 1) + 1;
590
3.60M
    PyUnicodeWriter *writer = PyUnicodeWriter_Create(prealloc);
591
3.60M
    PyObject *item = NULL;
592
3.60M
    if (writer == NULL) {
593
0
        goto error;
594
0
    }
595
596
3.60M
    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
11.4M
    for (Py_ssize_t i = 0; i < Py_SIZE(v); ++i) {
603
        /* Hold a strong reference since repr(item) can mutate the list */
604
7.79M
        item = Py_XNewRef(v->ob_item[i]);
605
606
7.79M
        if (i > 0) {
607
4.18M
            if (PyUnicodeWriter_WriteChar(writer, ',') < 0) {
608
0
                goto error;
609
0
            }
610
4.18M
            if (PyUnicodeWriter_WriteChar(writer, ' ') < 0) {
611
0
                goto error;
612
0
            }
613
4.18M
        }
614
615
7.79M
        if (PyUnicodeWriter_WriteRepr(writer, item) < 0) {
616
0
            goto error;
617
0
        }
618
7.79M
        Py_CLEAR(item);
619
7.79M
    }
620
621
3.60M
    if (PyUnicodeWriter_WriteChar(writer, ']') < 0) {
622
0
        goto error;
623
0
    }
624
625
3.60M
    Py_ReprLeave((PyObject *)v);
626
3.60M
    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
3.60M
}
634
635
static PyObject *
636
list_repr(PyObject *self)
637
3.72M
{
638
3.72M
    if (PyList_GET_SIZE(self) == 0) {
639
114k
        return PyUnicode_FromString("[]");
640
114k
    }
641
3.60M
    PyListObject *v = (PyListObject *)self;
642
3.60M
    PyObject *ret = NULL;
643
3.60M
    Py_BEGIN_CRITICAL_SECTION(v);
644
3.60M
    ret = list_repr_impl(v);
645
3.60M
    Py_END_CRITICAL_SECTION();
646
3.60M
    return ret;
647
3.72M
}
648
649
static Py_ssize_t
650
list_length(PyObject *a)
651
47.1M
{
652
47.1M
    return PyList_GET_SIZE(a);
653
47.1M
}
654
655
static int
656
list_contains(PyObject *aa, PyObject *el)
657
7.68k
{
658
659
61.9k
    for (Py_ssize_t i = 0; ; i++) {
660
61.9k
        PyObject *item = list_get_item_ref((PyListObject *)aa, i);
661
61.9k
        if (item == NULL) {
662
            // out-of-bounds
663
5.98k
            return 0;
664
5.98k
        }
665
55.9k
        int cmp = PyObject_RichCompareBool(item, el, Py_EQ);
666
55.9k
        Py_DECREF(item);
667
55.9k
        if (cmp != 0) {
668
1.69k
            return cmp;
669
1.69k
        }
670
55.9k
    }
671
0
    return 0;
672
7.68k
}
673
674
static PyObject *
675
list_item(PyObject *aa, Py_ssize_t i)
676
28.4M
{
677
28.4M
    PyListObject *a = (PyListObject *)aa;
678
28.4M
    if (!valid_index(i, PyList_GET_SIZE(a))) {
679
2.41M
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
680
2.41M
        return NULL;
681
2.41M
    }
682
26.0M
    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
26.0M
    item = Py_NewRef(a->ob_item[i]);
691
26.0M
#endif
692
26.0M
    return item;
693
28.4M
}
694
695
static PyObject *
696
list_slice_lock_held(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh)
697
3.12M
{
698
3.12M
    PyListObject *np;
699
3.12M
    PyObject **src, **dest;
700
3.12M
    Py_ssize_t i, len;
701
3.12M
    len = ihigh - ilow;
702
3.12M
    if (len <= 0) {
703
1.83k
        return PyList_New(0);
704
1.83k
    }
705
3.12M
    np = (PyListObject *) list_new_prealloc(len);
706
3.12M
    if (np == NULL)
707
0
        return NULL;
708
709
3.12M
    src = a->ob_item + ilow;
710
3.12M
    dest = np->ob_item;
711
18.9M
    for (i = 0; i < len; i++) {
712
15.7M
        PyObject *v = src[i];
713
15.7M
        dest[i] = Py_NewRef(v);
714
15.7M
    }
715
3.12M
    Py_SET_SIZE(np, len);
716
3.12M
    return (PyObject *)np;
717
3.12M
}
718
719
PyObject *
720
_PyList_BinarySlice(PyObject *container, PyObject *start, PyObject *stop)
721
114k
{
722
114k
    assert(PyList_CheckExact(container));
723
114k
    Py_ssize_t istart = 0;
724
114k
    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
114k
    if (!_PyEval_SliceIndex(start, &istart)) {
729
0
        return NULL;
730
0
    }
731
114k
    if (!_PyEval_SliceIndex(stop, &istop)) {
732
0
        return NULL;
733
0
    }
734
114k
    PyObject *ret;
735
114k
    Py_BEGIN_CRITICAL_SECTION(container);
736
114k
    Py_ssize_t len = Py_SIZE(container);
737
114k
    PySlice_AdjustIndices(len, &istart, &istop, 1);
738
114k
    ret = list_slice_lock_held((PyListObject *)container, istart, istop);
739
114k
    Py_END_CRITICAL_SECTION();
740
114k
    return ret;
741
114k
}
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
20.8M
{
772
20.8M
    Py_ssize_t size;
773
20.8M
    Py_ssize_t i;
774
20.8M
    PyObject **src, **dest;
775
20.8M
    PyListObject *np;
776
20.8M
    assert((size_t)Py_SIZE(a) + (size_t)Py_SIZE(b) < PY_SSIZE_T_MAX);
777
20.8M
    size = Py_SIZE(a) + Py_SIZE(b);
778
20.8M
    if (size == 0) {
779
7.00M
        return PyList_New(0);
780
7.00M
    }
781
13.8M
    np = (PyListObject *) list_new_prealloc(size);
782
13.8M
    if (np == NULL) {
783
0
        return NULL;
784
0
    }
785
13.8M
    src = a->ob_item;
786
13.8M
    dest = np->ob_item;
787
800M
    for (i = 0; i < Py_SIZE(a); i++) {
788
786M
        PyObject *v = src[i];
789
786M
        dest[i] = Py_NewRef(v);
790
786M
    }
791
13.8M
    src = b->ob_item;
792
13.8M
    dest = np->ob_item + Py_SIZE(a);
793
269M
    for (i = 0; i < Py_SIZE(b); i++) {
794
255M
        PyObject *v = src[i];
795
255M
        dest[i] = Py_NewRef(v);
796
255M
    }
797
13.8M
    Py_SET_SIZE(np, size);
798
13.8M
    return (PyObject *)np;
799
13.8M
}
800
801
PyObject *
802
_PyList_Concat(PyObject *aa, PyObject *bb)
803
20.8M
{
804
20.8M
    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
20.8M
    PyListObject *a = (PyListObject *)aa;
811
20.8M
    PyListObject *b = (PyListObject *)bb;
812
20.8M
    PyObject *ret;
813
20.8M
    Py_BEGIN_CRITICAL_SECTION2(a, b);
814
20.8M
    ret = list_concat_lock_held(a, b);
815
20.8M
    Py_END_CRITICAL_SECTION2();
816
20.8M
    return ret;
817
20.8M
}
818
819
static PyObject *
820
list_repeat_lock_held(PyListObject *a, Py_ssize_t n)
821
22.6k
{
822
22.6k
    const Py_ssize_t input_size = Py_SIZE(a);
823
22.6k
    if (input_size == 0 || n <= 0)
824
2.15k
        return PyList_New(0);
825
22.6k
    assert(n > 0);
826
827
20.4k
    if (input_size > PY_SSIZE_T_MAX / n)
828
0
        return PyErr_NoMemory();
829
20.4k
    Py_ssize_t output_size = input_size * n;
830
831
20.4k
    PyListObject *np = (PyListObject *) list_new_prealloc(output_size);
832
20.4k
    if (np == NULL)
833
0
        return NULL;
834
835
20.4k
    PyObject **dest = np->ob_item;
836
20.4k
    if (input_size == 1) {
837
20.4k
        PyObject *elem = a->ob_item[0];
838
20.4k
        _Py_RefcntAdd(elem, n);
839
20.4k
        PyObject **dest_end = dest + output_size;
840
6.16M
        while (dest < dest_end) {
841
6.14M
            *dest++ = elem;
842
6.14M
        }
843
20.4k
    }
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
20.4k
    Py_SET_SIZE(np, output_size);
858
20.4k
    return (PyObject *) np;
859
20.4k
}
860
861
static PyObject *
862
list_repeat(PyObject *aa, Py_ssize_t n)
863
22.6k
{
864
22.6k
    PyObject *ret;
865
22.6k
    PyListObject *a = (PyListObject *)aa;
866
22.6k
    Py_BEGIN_CRITICAL_SECTION(a);
867
22.6k
    ret = list_repeat_lock_held(a, n);
868
22.6k
    Py_END_CRITICAL_SECTION();
869
22.6k
    return ret;
870
22.6k
}
871
872
static void
873
list_clear_impl(PyListObject *a, bool is_resize)
874
10.2M
{
875
10.2M
    PyObject **items = a->ob_item;
876
10.2M
    if (items == NULL) {
877
996k
        return;
878
996k
    }
879
880
    /* Because XDECREF can recursively invoke operations on
881
       this list, we make it empty first. */
882
9.23M
    Py_ssize_t i = Py_SIZE(a);
883
9.23M
    Py_SET_SIZE(a, 0);
884
9.23M
    FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item, NULL);
885
9.23M
    a->allocated = 0;
886
18.5M
    while (--i >= 0) {
887
9.36M
        Py_XDECREF(items[i]);
888
9.36M
    }
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
9.23M
    bool use_qsbr = false;
896
9.23M
#endif
897
9.23M
    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
9.23M
}
901
902
static void
903
list_clear(PyListObject *a)
904
10.2M
{
905
10.2M
    list_clear_impl(a, true);
906
10.2M
}
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
6.15M
{
920
6.15M
#ifndef Py_GIL_DISABLED
921
6.15M
    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
6.15M
}
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
7.03M
{
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
7.03M
    PyObject *recycle_on_stack[8];
959
7.03M
    PyObject **recycle = recycle_on_stack; /* will allocate more if needed */
960
7.03M
    PyObject **item;
961
7.03M
    PyObject **vitem = NULL;
962
7.03M
    PyObject *v_as_SF = NULL; /* PySequence_Fast(v) */
963
7.03M
    Py_ssize_t n; /* # of elements in replacement list */
964
7.03M
    Py_ssize_t norig; /* # of elements in list getting replaced */
965
7.03M
    Py_ssize_t d; /* Change in size */
966
7.03M
    Py_ssize_t k;
967
7.03M
    size_t s;
968
7.03M
    int result = -1;            /* guilty until proved innocent */
969
7.03M
#define b ((PyListObject *)v)
970
7.03M
    if (v == NULL)
971
3.71M
        n = 0;
972
3.32M
    else {
973
3.32M
        v_as_SF = PySequence_Fast(v, "can only assign an iterable");
974
3.32M
        if(v_as_SF == NULL)
975
0
            goto Error;
976
3.32M
        n = PySequence_Fast_GET_SIZE(v_as_SF);
977
3.32M
        vitem = PySequence_Fast_ITEMS(v_as_SF);
978
3.32M
    }
979
7.03M
    if (ilow < 0)
980
0
        ilow = 0;
981
7.03M
    else if (ilow > Py_SIZE(a))
982
614k
        ilow = Py_SIZE(a);
983
984
7.03M
    if (ihigh < ilow)
985
0
        ihigh = ilow;
986
7.03M
    else if (ihigh > Py_SIZE(a))
987
614k
        ihigh = Py_SIZE(a);
988
989
7.03M
    norig = ihigh - ilow;
990
7.03M
    assert(norig >= 0);
991
7.03M
    d = n - norig;
992
7.03M
    if (Py_SIZE(a) + d == 0) {
993
1.65M
        Py_XDECREF(v_as_SF);
994
1.65M
        list_clear(a);
995
1.65M
        return 0;
996
1.65M
    }
997
5.38M
    item = a->ob_item;
998
    /* recycle the items that we are about to remove */
999
5.38M
    s = norig * sizeof(PyObject *);
1000
    /* If norig == 0, item might be NULL, in which case we may not memcpy from it. */
1001
5.38M
    if (s) {
1002
4.50M
        if (s > sizeof(recycle_on_stack)) {
1003
33.4k
            recycle = (PyObject **)PyMem_Malloc(s);
1004
33.4k
            if (recycle == NULL) {
1005
0
                PyErr_NoMemory();
1006
0
                goto Error;
1007
0
            }
1008
33.4k
        }
1009
4.50M
        memcpy(recycle, &item[ilow], s);
1010
4.50M
    }
1011
1012
5.38M
    if (d < 0) { /* Delete -d items */
1013
3.08M
        Py_ssize_t tail = Py_SIZE(a) - ihigh;
1014
3.08M
        ptr_wise_atomic_memmove(a, &item[ihigh+d], &item[ihigh], tail);
1015
3.08M
        (void)list_resize(a, Py_SIZE(a) + d); // NB: shrinking a list can't fail
1016
3.08M
        item = a->ob_item;
1017
3.08M
    }
1018
2.30M
    else if (d > 0) { /* Insert d items */
1019
879k
        k = Py_SIZE(a);
1020
879k
        if (list_resize(a, k+d) < 0)
1021
0
            goto Error;
1022
879k
        item = a->ob_item;
1023
879k
        ptr_wise_atomic_memmove(a, &item[ihigh+d], &item[ihigh], k - ihigh);
1024
879k
    }
1025
87.5M
    for (k = 0; k < n; k++, ilow++) {
1026
82.1M
        PyObject *w = vitem[k];
1027
82.1M
        FT_ATOMIC_STORE_PTR_RELEASE(item[ilow], Py_XNewRef(w));
1028
82.1M
    }
1029
29.6M
    for (k = norig - 1; k >= 0; --k)
1030
24.2M
        Py_XDECREF(recycle[k]);
1031
5.38M
    result = 0;
1032
5.38M
 Error:
1033
5.38M
    if (recycle != recycle_on_stack)
1034
33.4k
        PyMem_Free(recycle);
1035
5.38M
    Py_XDECREF(v_as_SF);
1036
5.38M
    return result;
1037
5.38M
#undef b
1038
5.38M
}
1039
1040
static int
1041
list_ass_slice(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
1042
4.31M
{
1043
4.31M
    int ret;
1044
4.31M
    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
4.31M
    else if (v != NULL && PyList_CheckExact(v)) {
1058
219k
        Py_BEGIN_CRITICAL_SECTION2(a, v);
1059
219k
        ret = list_ass_slice_lock_held(a, ilow, ihigh, v);
1060
219k
        Py_END_CRITICAL_SECTION2();
1061
219k
    }
1062
4.09M
    else {
1063
4.09M
        Py_BEGIN_CRITICAL_SECTION(a);
1064
4.09M
        ret = list_ass_slice_lock_held(a, ilow, ihigh, v);
1065
4.09M
        Py_END_CRITICAL_SECTION();
1066
4.09M
    }
1067
4.31M
    return ret;
1068
4.31M
}
1069
1070
int
1071
PyList_SetSlice(PyObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
1072
4.31M
{
1073
4.31M
    if (!PyList_Check(a)) {
1074
0
        PyErr_BadInternalCall();
1075
0
        return -1;
1076
0
    }
1077
4.31M
    return list_ass_slice((PyListObject *)a, ilow, ihigh, v);
1078
4.31M
}
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
4.30M
{
1140
4.30M
    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
4.30M
    PyObject *tmp = a->ob_item[i];
1146
4.30M
    if (v == NULL) {
1147
9.18k
        Py_ssize_t size = Py_SIZE(a);
1148
4.09M
        for (Py_ssize_t idx = i; idx < size - 1; idx++) {
1149
4.08M
            FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item[idx], a->ob_item[idx + 1]);
1150
4.08M
        }
1151
9.18k
        Py_SET_SIZE(a, size - 1);
1152
9.18k
    }
1153
4.30M
    else {
1154
4.30M
        FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item[i], Py_NewRef(v));
1155
4.30M
    }
1156
4.30M
    Py_DECREF(tmp);
1157
4.30M
    return 0;
1158
4.30M
}
1159
1160
static int
1161
list_ass_item(PyObject *aa, Py_ssize_t i, PyObject *v)
1162
3.47k
{
1163
3.47k
    int ret;
1164
3.47k
    PyListObject *a = (PyListObject *)aa;
1165
3.47k
    Py_BEGIN_CRITICAL_SECTION(a);
1166
3.47k
    ret = list_ass_item_lock_held(a, i, v);
1167
3.47k
    Py_END_CRITICAL_SECTION();
1168
3.47k
    return ret;
1169
3.47k
}
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
42
{
1186
42
    if (ins1(self, index, object) == 0) {
1187
42
        Py_RETURN_NONE;
1188
42
    }
1189
0
    return NULL;
1190
42
}
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
6.87k
{
1203
6.87k
    list_clear(self);
1204
6.87k
    Py_RETURN_NONE;
1205
6.87k
}
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
112M
{
1235
112M
    if (_PyList_AppendTakeRef(self, Py_NewRef(object)) < 0) {
1236
0
        return NULL;
1237
0
    }
1238
112M
    Py_RETURN_NONE;
1239
112M
}
1240
1241
static int
1242
list_extend_fast(PyListObject *self, PyObject *iterable)
1243
18.1M
{
1244
18.1M
    Py_ssize_t n = PySequence_Fast_GET_SIZE(iterable);
1245
18.1M
    if (n == 0) {
1246
        /* short circuit when iterable is empty */
1247
9.57M
        return 0;
1248
9.57M
    }
1249
1250
8.58M
    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
8.58M
    assert(m < PY_SSIZE_T_MAX - n);
1254
8.58M
    if (self->ob_item == NULL) {
1255
1.46M
        if (list_preallocate_exact(self, n) < 0) {
1256
0
            return -1;
1257
0
        }
1258
1.46M
        Py_SET_SIZE(self, n);
1259
1.46M
    }
1260
7.11M
    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
8.58M
    PyObject **src = PySequence_Fast_ITEMS(iterable);
1271
8.58M
    PyObject **dest = self->ob_item + m;
1272
43.2M
    for (Py_ssize_t i = 0; i < n; i++) {
1273
34.6M
        PyObject *o = src[i];
1274
34.6M
        FT_ATOMIC_STORE_PTR_RELEASE(dest[i], Py_NewRef(o));
1275
34.6M
    }
1276
8.58M
    return 0;
1277
8.58M
}
1278
1279
static int
1280
list_extend_iter_lock_held(PyListObject *self, PyObject *iterable)
1281
8.04M
{
1282
8.04M
    PyObject *it = PyObject_GetIter(iterable);
1283
8.04M
    if (it == NULL) {
1284
0
        return -1;
1285
0
    }
1286
8.04M
    PyObject *(*iternext)(PyObject *) = *Py_TYPE(it)->tp_iternext;
1287
1288
    /* Guess a result list size. */
1289
8.04M
    Py_ssize_t n = PyObject_LengthHint(iterable, 8);
1290
8.04M
    if (n < 0) {
1291
0
        Py_DECREF(it);
1292
0
        return -1;
1293
0
    }
1294
1295
8.04M
    Py_ssize_t m = Py_SIZE(self);
1296
8.04M
    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
8.04M
    else if (self->ob_item == NULL) {
1303
7.76M
        if (n && list_preallocate_exact(self, n) < 0)
1304
0
            goto error;
1305
7.76M
    }
1306
275k
    else {
1307
        /* Make room. */
1308
275k
        if (list_resize(self, m + n) < 0) {
1309
0
            goto error;
1310
0
        }
1311
1312
        /* Make the list sane again. */
1313
275k
        Py_SET_SIZE(self, m);
1314
275k
    }
1315
1316
    /* Run iterator to exhaustion. */
1317
107M
    for (;;) {
1318
107M
        PyObject *item = iternext(it);
1319
107M
        if (item == NULL) {
1320
8.04M
            if (PyErr_Occurred()) {
1321
685
                if (PyErr_ExceptionMatches(PyExc_StopIteration))
1322
0
                    PyErr_Clear();
1323
685
                else
1324
685
                    goto error;
1325
685
            }
1326
8.04M
            break;
1327
8.04M
        }
1328
1329
99.5M
        if (Py_SIZE(self) < self->allocated) {
1330
98.7M
            Py_ssize_t len = Py_SIZE(self);
1331
98.7M
            FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[len], item);  // steals item ref
1332
98.7M
            Py_SET_SIZE(self, len + 1);
1333
98.7M
        }
1334
799k
        else {
1335
799k
            if (_PyList_AppendTakeRef(self, item) < 0)
1336
0
                goto error;
1337
799k
        }
1338
99.5M
    }
1339
1340
    /* Cut back result list if initial guess was too large. */
1341
8.04M
    if (Py_SIZE(self) < self->allocated) {
1342
4.37M
        if (list_resize(self, Py_SIZE(self)) < 0)
1343
0
            goto error;
1344
4.37M
    }
1345
1346
8.04M
    Py_DECREF(it);
1347
8.04M
    return 0;
1348
1349
685
  error:
1350
685
    Py_DECREF(it);
1351
685
    return -1;
1352
8.04M
}
1353
1354
static int
1355
list_extend_lock_held(PyListObject *self, PyObject *iterable)
1356
18.1M
{
1357
18.1M
    PyObject *seq = PySequence_Fast(iterable, "argument must be iterable");
1358
18.1M
    if (!seq) {
1359
0
        return -1;
1360
0
    }
1361
1362
18.1M
    int res = list_extend_fast(self, seq);
1363
18.1M
    Py_DECREF(seq);
1364
18.1M
    return res;
1365
18.1M
}
1366
1367
static int
1368
list_extend_set(PyListObject *self, PySetObject *other)
1369
266k
{
1370
266k
    Py_ssize_t m = Py_SIZE(self);
1371
266k
    Py_ssize_t n = PySet_GET_SIZE(other);
1372
266k
    Py_ssize_t r = m + n;
1373
266k
    if (r == 0) {
1374
638
        return 0;
1375
638
    }
1376
265k
    if (list_resize(self, r) < 0) {
1377
0
        return -1;
1378
0
    }
1379
1380
265k
    assert(self->ob_item != NULL);
1381
    /* populate the end of self with iterable's items */
1382
265k
    Py_ssize_t setpos = 0;
1383
265k
    Py_hash_t hash;
1384
265k
    PyObject *key;
1385
265k
    PyObject **dest = self->ob_item + m;
1386
1.32M
    while (_PySet_NextEntryRef((PyObject *)other, &setpos, &key, &hash)) {
1387
1.05M
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, key);
1388
1.05M
        dest++;
1389
1.05M
    }
1390
265k
    Py_SET_SIZE(self, r);
1391
265k
    return 0;
1392
265k
}
1393
1394
static int
1395
list_extend_dict(PyListObject *self, PyDictObject *dict, int which_item)
1396
5.31M
{
1397
    // which_item: 0 for keys and 1 for values
1398
5.31M
    Py_ssize_t m = Py_SIZE(self);
1399
5.31M
    Py_ssize_t n = PyDict_GET_SIZE(dict);
1400
5.31M
    Py_ssize_t r = m + n;
1401
5.31M
    if (r == 0) {
1402
0
        return 0;
1403
0
    }
1404
5.31M
    if (list_resize(self, r) < 0) {
1405
0
        return -1;
1406
0
    }
1407
1408
5.31M
    assert(self->ob_item != NULL);
1409
5.31M
    PyObject **dest = self->ob_item + m;
1410
5.31M
    Py_ssize_t pos = 0;
1411
5.31M
    PyObject *keyvalue[2];
1412
16.2M
    while (_PyDict_Next((PyObject *)dict, &pos, &keyvalue[0], &keyvalue[1], NULL)) {
1413
10.9M
        PyObject *obj = keyvalue[which_item];
1414
10.9M
        Py_INCREF(obj);
1415
10.9M
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, obj);
1416
10.9M
        dest++;
1417
10.9M
    }
1418
1419
5.31M
    Py_SET_SIZE(self, r);
1420
5.31M
    return 0;
1421
5.31M
}
1422
1423
static int
1424
list_extend_dictitems(PyListObject *self, PyDictObject *dict)
1425
5
{
1426
5
    Py_ssize_t m = Py_SIZE(self);
1427
5
    Py_ssize_t n = PyDict_GET_SIZE(dict);
1428
5
    Py_ssize_t r = m + n;
1429
5
    if (r == 0) {
1430
0
        return 0;
1431
0
    }
1432
5
    if (list_resize(self, r) < 0) {
1433
0
        return -1;
1434
0
    }
1435
1436
5
    assert(self->ob_item != NULL);
1437
5
    PyObject **dest = self->ob_item + m;
1438
5
    Py_ssize_t pos = 0;
1439
5
    Py_ssize_t i = 0;
1440
5
    PyObject *key, *value;
1441
211
    while (_PyDict_Next((PyObject *)dict, &pos, &key, &value, NULL)) {
1442
206
        PyObject *item = _PyTuple_FromPair(key, value);
1443
206
        if (item == NULL) {
1444
0
            Py_SET_SIZE(self, m + i);
1445
0
            return -1;
1446
0
        }
1447
206
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, item);
1448
206
        dest++;
1449
206
        i++;
1450
206
    }
1451
1452
5
    Py_SET_SIZE(self, r);
1453
5
    return 0;
1454
5
}
1455
1456
static int
1457
_list_extend(PyListObject *self, PyObject *iterable)
1458
31.7M
{
1459
    // Special case:
1460
    // lists and tuples which can use PySequence_Fast ops
1461
31.7M
    int res = -1;
1462
31.7M
    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
31.7M
    else if (PyList_CheckExact(iterable)) {
1468
11.0M
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1469
11.0M
        res = list_extend_lock_held(self, iterable);
1470
11.0M
        Py_END_CRITICAL_SECTION2();
1471
11.0M
    }
1472
20.7M
    else if (PyTuple_CheckExact(iterable)) {
1473
7.12M
        Py_BEGIN_CRITICAL_SECTION(self);
1474
7.12M
        res = list_extend_lock_held(self, iterable);
1475
7.12M
        Py_END_CRITICAL_SECTION();
1476
7.12M
    }
1477
13.6M
    else if (PyAnySet_CheckExact(iterable)) {
1478
266k
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1479
266k
        res = list_extend_set(self, (PySetObject *)iterable);
1480
266k
        Py_END_CRITICAL_SECTION2();
1481
266k
    }
1482
13.3M
    else if (PyDict_CheckExact(iterable)) {
1483
5.31M
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1484
5.31M
        res = list_extend_dict(self, (PyDictObject *)iterable, 0 /*keys*/);
1485
5.31M
        Py_END_CRITICAL_SECTION2();
1486
5.31M
    }
1487
8.04M
    else if (Py_IS_TYPE(iterable, &PyDictKeys_Type)) {
1488
594
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1489
594
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1490
594
        res = list_extend_dict(self, dict, 0 /*keys*/);
1491
594
        Py_END_CRITICAL_SECTION2();
1492
594
    }
1493
8.04M
    else if (Py_IS_TYPE(iterable, &PyDictValues_Type)) {
1494
10
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1495
10
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1496
10
        res = list_extend_dict(self, dict, 1 /*values*/);
1497
10
        Py_END_CRITICAL_SECTION2();
1498
10
    }
1499
8.04M
    else if (Py_IS_TYPE(iterable, &PyDictItems_Type)) {
1500
5
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1501
5
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1502
5
        res = list_extend_dictitems(self, dict);
1503
5
        Py_END_CRITICAL_SECTION2();
1504
5
    }
1505
8.04M
    else {
1506
8.04M
        Py_BEGIN_CRITICAL_SECTION(self);
1507
8.04M
        res = list_extend_iter_lock_held(self, iterable);
1508
8.04M
        Py_END_CRITICAL_SECTION();
1509
8.04M
    }
1510
31.7M
    return res;
1511
31.7M
}
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
20.4M
{
1526
20.4M
    if (_list_extend(self, iterable) < 0) {
1527
685
        return NULL;
1528
685
    }
1529
20.4M
    Py_RETURN_NONE;
1530
20.4M
}
1531
1532
PyObject *
1533
_PyList_Extend(PyListObject *self, PyObject *iterable)
1534
19.1M
{
1535
19.1M
    return list_extend((PyObject*)self, iterable);
1536
19.1M
}
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
116k
{
1566
116k
    PyListObject *self = (PyListObject *)_self;
1567
116k
    if (_list_extend(self, other) < 0) {
1568
0
        return NULL;
1569
0
    }
1570
116k
    return Py_NewRef(self);
1571
116k
}
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
22.1M
{
1589
22.1M
    PyObject *v;
1590
1591
22.1M
    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
22.1M
    if (index < 0)
1597
18.7M
        index += Py_SIZE(self);
1598
22.1M
    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
22.1M
    PyObject **items = self->ob_item;
1604
22.1M
    v = items[index];
1605
22.1M
    if (Py_SIZE(self) == 1) {
1606
8.57M
        Py_INCREF(v);
1607
8.57M
        list_clear(self);
1608
8.57M
        return v;
1609
8.57M
    }
1610
13.5M
    Py_ssize_t size_after_pop = Py_SIZE(self) - 1;
1611
13.5M
    if (index < size_after_pop) {
1612
2.18M
        ptr_wise_atomic_memmove(self, &items[index], &items[index+1],
1613
2.18M
                                size_after_pop - index);
1614
2.18M
    }
1615
13.5M
    list_resize(self, size_after_pop);  // NB: shrinking a list can't fail
1616
13.5M
    return v;
1617
22.1M
}
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
218k
{
1623
218k
    assert(lo && hi);
1624
1625
218k
    --hi;
1626
4.01M
    while (lo < hi) {
1627
3.79M
        PyObject *t = *lo;
1628
3.79M
        FT_ATOMIC_STORE_PTR_RELEASE(*lo, *hi);
1629
3.79M
        FT_ATOMIC_STORE_PTR_RELEASE(*hi, t);
1630
3.79M
        ++lo;
1631
3.79M
        --hi;
1632
3.79M
    }
1633
218k
}
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
31.7k
{
1656
31.7k
    s1->keys[i] = s2->keys[j];
1657
31.7k
    if (s1->values != NULL)
1658
30.8k
        s1->values[i] = s2->values[j];
1659
31.7k
}
1660
1661
Py_LOCAL_INLINE(void)
1662
sortslice_copy_incr(sortslice *dst, sortslice *src)
1663
728k
{
1664
728k
    *dst->keys++ = *src->keys++;
1665
728k
    if (dst->values != NULL)
1666
559k
        *dst->values++ = *src->values++;
1667
728k
}
1668
1669
Py_LOCAL_INLINE(void)
1670
sortslice_copy_decr(sortslice *dst, sortslice *src)
1671
2.84M
{
1672
2.84M
    *dst->keys-- = *src->keys--;
1673
2.84M
    if (dst->values != NULL)
1674
568k
        *dst->values-- = *src->values--;
1675
2.84M
}
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
167k
{
1682
167k
    memcpy(&s1->keys[i], &s2->keys[j], sizeof(PyObject *) * n);
1683
167k
    if (s1->values != NULL)
1684
157k
        memcpy(&s1->values[i], &s2->values[j], sizeof(PyObject *) * n);
1685
167k
}
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
115k
{
1691
115k
    memmove(&s1->keys[i], &s2->keys[j], sizeof(PyObject *) * n);
1692
115k
    if (s1->values != NULL)
1693
108k
        memmove(&s1->values[i], &s2->values[j], sizeof(PyObject *) * n);
1694
115k
}
1695
1696
Py_LOCAL_INLINE(void)
1697
sortslice_advance(sortslice *slice, Py_ssize_t n)
1698
925k
{
1699
925k
    slice->keys += n;
1700
925k
    if (slice->values != NULL)
1701
598k
        slice->values += n;
1702
925k
}
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
19.5M
#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
16.2M
#define IFLT(X, Y) if ((k = ISLT(X, Y)) < 0) goto fail;  \
1716
16.2M
           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
5.28M
#define MIN_GALLOP 7
1729
1730
/* Avoid malloc for small temp arrays. */
1731
6.33M
#define MERGESTATE_TEMP_SIZE 256
1732
1733
/* The largest value of minrun. This must be a power of 2, and >= 1 */
1734
5.10M
#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
282k
{
1815
282k
    Py_ssize_t k; /* for IFLT macro expansion */
1816
282k
    PyObject ** const a = ss->keys;
1817
282k
    PyObject ** const v = ss->values;
1818
282k
    const bool has_values = v != NULL;
1819
282k
    PyObject *pivot;
1820
282k
    Py_ssize_t M;
1821
1822
282k
    assert(0 <= ok && ok <= n && 1 <= n && n <= MAX_MINRUN);
1823
    /* assert a[:ok] is sorted */
1824
282k
    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
282k
    Py_ssize_t L, R;
1877
2.49M
    for (; ok < n; ++ok) {
1878
        /* set L to where a[ok] belongs */
1879
2.21M
        L = 0;
1880
2.21M
        R = ok;
1881
2.21M
        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
2.21M
        assert(L < R);
1888
8.49M
        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
8.49M
            M = (L + R) >> 1;
1892
8.49M
#if 1 // straightforward, but highly unpredictable branch on random data
1893
8.49M
            IFLT(pivot, a[M])
1894
3.34M
                R = M;
1895
5.15M
            else
1896
5.15M
                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
8.49M
        } while (L < R);
1911
2.21M
        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
11.7M
        for (M = ok; M > L; --M)
1918
9.54M
            a[M] = a[M - 1];
1919
2.21M
        a[L] = pivot;
1920
2.21M
        if (has_values) {
1921
1.52M
            pivot = v[ok];
1922
8.22M
            for (M = ok; M > L; --M)
1923
6.70M
                v[M] = v[M - 1];
1924
1.52M
            v[L] = pivot;
1925
1.52M
        }
1926
2.21M
    }
1927
282k
#endif // pick binary or regular insertion sort
1928
282k
    return 0;
1929
1930
0
 fail:
1931
0
    return -1;
1932
282k
}
1933
1934
static void
1935
sortslice_reverse(sortslice *s, Py_ssize_t n)
1936
173k
{
1937
173k
    reverse_slice(s->keys, &s->keys[n]);
1938
173k
    if (s->values != NULL)
1939
45.0k
        reverse_slice(s->values, &s->values[n]);
1940
173k
}
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
463k
{
1953
463k
    Py_ssize_t k; /* used by IFLT macro expansion */
1954
463k
    Py_ssize_t n;
1955
463k
    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
463k
#define REVERSE_LAST_NEQ                        \
1964
2.44M
    if (neq) {                                  \
1965
8.82k
        sortslice slice = *slo;                 \
1966
8.82k
        ++neq;                                  \
1967
8.82k
        sortslice_advance(&slice, n - neq);     \
1968
8.82k
        sortslice_reverse(&slice, neq);         \
1969
8.82k
        neq = 0;                                \
1970
8.82k
    }
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
463k
#define IF_NEXT_LARGER  IFLT(lo[n-1], lo[n])
1978
5.49M
#define IF_NEXT_SMALLER IFLT(lo[n], lo[n-1])
1979
1980
463k
    assert(nremaining);
1981
    /* try ascending run first */
1982
2.82M
    for (n = 1; n < nremaining; ++n) {
1983
2.74M
        IF_NEXT_SMALLER
1984
379k
            break;
1985
2.74M
    }
1986
463k
    if (n == nremaining)
1987
83.1k
        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
379k
    if (n > 1) {
1999
224k
        IFLT(lo[0], lo[n-1])
2000
219k
            return n;
2001
4.72k
        sortslice_reverse(slo, n);
2002
4.72k
    }
2003
159k
    ++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
159k
    Py_ssize_t neq = 0;
2010
2.47M
    for ( ; n < nremaining; ++n) {
2011
2.39M
        IF_NEXT_SMALLER {
2012
            /* This ends the most recent run of equal elements, but still in
2013
             * the "descending" direction.
2014
             */
2015
2.28M
            REVERSE_LAST_NEQ
2016
2.28M
        }
2017
108k
        else {
2018
108k
            IF_NEXT_LARGER /* descending run is over */
2019
77.8k
                break;
2020
30.2k
            else /* not x < y and not y < x implies x == y */
2021
30.2k
                ++neq;
2022
108k
        }
2023
2.39M
    }
2024
159k
    REVERSE_LAST_NEQ
2025
159k
    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
443k
    for ( ; n < nremaining; ++n) {
2032
358k
        IF_NEXT_SMALLER
2033
75.3k
            break;
2034
358k
    }
2035
2036
159k
    return n;
2037
0
fail:
2038
0
    return -1;
2039
2040
159k
#undef REVERSE_LAST_NEQ
2041
159k
#undef IF_NEXT_SMALLER
2042
159k
#undef IF_NEXT_LARGER
2043
159k
}
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
161k
{
2069
161k
    Py_ssize_t ofs;
2070
161k
    Py_ssize_t lastofs;
2071
161k
    Py_ssize_t k;
2072
2073
161k
    assert(key && a && n > 0 && hint >= 0 && hint < n);
2074
2075
161k
    a += hint;
2076
161k
    lastofs = 0;
2077
161k
    ofs = 1;
2078
161k
    IFLT(*a, key) {
2079
        /* a[hint] < key -- gallop right, until
2080
         * a[hint + lastofs] < key <= a[hint + ofs]
2081
         */
2082
77.4k
        const Py_ssize_t maxofs = n - hint;             /* &a[n-1] is highest */
2083
254k
        while (ofs < maxofs) {
2084
199k
            IFLT(a[ofs], key) {
2085
176k
                lastofs = ofs;
2086
176k
                assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2087
176k
                ofs = (ofs << 1) + 1;
2088
176k
            }
2089
22.0k
            else                /* key <= a[hint + ofs] */
2090
22.0k
                break;
2091
199k
        }
2092
77.4k
        if (ofs > maxofs)
2093
22.8k
            ofs = maxofs;
2094
        /* Translate back to offsets relative to &a[0]. */
2095
77.4k
        lastofs += hint;
2096
77.4k
        ofs += hint;
2097
77.4k
    }
2098
84.1k
    else {
2099
        /* key <= a[hint] -- gallop left, until
2100
         * a[hint - ofs] < key <= a[hint - lastofs]
2101
         */
2102
84.1k
        const Py_ssize_t maxofs = hint + 1;             /* &a[0] is lowest */
2103
272k
        while (ofs < maxofs) {
2104
247k
            IFLT(*(a-ofs), key)
2105
59.5k
                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
84.1k
        if (ofs > maxofs)
2112
17.2k
            ofs = maxofs;
2113
        /* Translate back to positive offsets relative to &a[0]. */
2114
84.1k
        k = lastofs;
2115
84.1k
        lastofs = hint - ofs;
2116
84.1k
        ofs = hint - k;
2117
84.1k
    }
2118
161k
    a -= hint;
2119
2120
161k
    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
161k
    ++lastofs;
2126
479k
    while (lastofs < ofs) {
2127
317k
        Py_ssize_t m = lastofs + ((ofs - lastofs) >> 1);
2128
2129
317k
        IFLT(a[m], key)
2130
163k
            lastofs = m+1;              /* a[m] < key */
2131
154k
        else
2132
154k
            ofs = m;                    /* key <= a[m] */
2133
317k
    }
2134
161k
    assert(lastofs == ofs);             /* so a[ofs-1] < key <= a[ofs] */
2135
161k
    return ofs;
2136
2137
0
fail:
2138
0
    return -1;
2139
161k
}
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
180k
{
2158
180k
    Py_ssize_t ofs;
2159
180k
    Py_ssize_t lastofs;
2160
180k
    Py_ssize_t k;
2161
2162
180k
    assert(key && a && n > 0 && hint >= 0 && hint < n);
2163
2164
180k
    a += hint;
2165
180k
    lastofs = 0;
2166
180k
    ofs = 1;
2167
180k
    IFLT(key, *a) {
2168
        /* key < a[hint] -- gallop left, until
2169
         * a[hint - ofs] <= key < a[hint - lastofs]
2170
         */
2171
70.3k
        const Py_ssize_t maxofs = hint + 1;             /* &a[0] is lowest */
2172
185k
        while (ofs < maxofs) {
2173
138k
            IFLT(key, *(a-ofs)) {
2174
115k
                lastofs = ofs;
2175
115k
                assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2176
115k
                ofs = (ofs << 1) + 1;
2177
115k
            }
2178
22.5k
            else                /* a[hint - ofs] <= key */
2179
22.5k
                break;
2180
138k
        }
2181
70.3k
        if (ofs > maxofs)
2182
10.8k
            ofs = maxofs;
2183
        /* Translate back to positive offsets relative to &a[0]. */
2184
70.3k
        k = lastofs;
2185
70.3k
        lastofs = hint - ofs;
2186
70.3k
        ofs = hint - k;
2187
70.3k
    }
2188
110k
    else {
2189
        /* a[hint] <= key -- gallop right, until
2190
         * a[hint + lastofs] <= key < a[hint + ofs]
2191
        */
2192
110k
        const Py_ssize_t maxofs = n - hint;             /* &a[n-1] is highest */
2193
371k
        while (ofs < maxofs) {
2194
321k
            IFLT(key, a[ofs])
2195
59.8k
                break;
2196
            /* a[hint + ofs] <= key */
2197
261k
            lastofs = ofs;
2198
261k
            assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2199
261k
            ofs = (ofs << 1) + 1;
2200
261k
        }
2201
110k
        if (ofs > maxofs)
2202
27.4k
            ofs = maxofs;
2203
        /* Translate back to offsets relative to &a[0]. */
2204
110k
        lastofs += hint;
2205
110k
        ofs += hint;
2206
110k
    }
2207
180k
    a -= hint;
2208
2209
180k
    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
180k
    ++lastofs;
2215
508k
    while (lastofs < ofs) {
2216
327k
        Py_ssize_t m = lastofs + ((ofs - lastofs) >> 1);
2217
2218
327k
        IFLT(key, a[m])
2219
167k
            ofs = m;                    /* key < a[m] */
2220
160k
        else
2221
160k
            lastofs = m+1;              /* a[m] <= key */
2222
327k
    }
2223
180k
    assert(lastofs == ofs);             /* so a[ofs-1] <= key < a[ofs] */
2224
180k
    return ofs;
2225
2226
0
fail:
2227
0
    return -1;
2228
180k
}
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
5.07M
{
2235
5.07M
    assert(ms != NULL);
2236
5.07M
    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
627k
        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
627k
        if (MERGESTATE_TEMP_SIZE / 2 < ms->alloced)
2248
2.39k
            ms->alloced = MERGESTATE_TEMP_SIZE / 2;
2249
627k
        ms->a.values = &ms->temparray[ms->alloced];
2250
627k
    }
2251
4.44M
    else {
2252
4.44M
        ms->alloced = MERGESTATE_TEMP_SIZE;
2253
4.44M
        ms->a.values = NULL;
2254
4.44M
    }
2255
5.07M
    ms->a.keys = ms->temparray;
2256
5.07M
    ms->n = 0;
2257
5.07M
    ms->min_gallop = MIN_GALLOP;
2258
5.07M
    ms->listlen = list_size;
2259
5.07M
    ms->basekeys = lo->keys;
2260
2261
    /* State for generating minrun values. See listsort.txt. */
2262
5.07M
    ms->mr_e = 0;
2263
5.10M
    while (list_size >> ms->mr_e >= MAX_MINRUN) {
2264
24.7k
        ++ms->mr_e;
2265
24.7k
    }
2266
5.07M
    ms->mr_mask = (1 << ms->mr_e) - 1;
2267
5.07M
    ms->mr_current = 0;
2268
5.07M
}
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
5.08M
{
2277
5.08M
    assert(ms != NULL);
2278
5.08M
    if (ms->a.keys != ms->temparray) {
2279
4.37k
        PyMem_Free(ms->a.keys);
2280
4.37k
        ms->a.keys = NULL;
2281
4.37k
    }
2282
5.08M
}
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
4.37k
{
2290
4.37k
    int multiplier;
2291
2292
4.37k
    assert(ms != NULL);
2293
4.37k
    if (need <= ms->alloced)
2294
0
        return 0;
2295
2296
4.37k
    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
4.37k
    merge_freemem(ms);
2302
4.37k
    if ((size_t)need > PY_SSIZE_T_MAX / sizeof(PyObject *) / multiplier) {
2303
0
        PyErr_NoMemory();
2304
0
        return -1;
2305
0
    }
2306
4.37k
    ms->a.keys = (PyObject **)PyMem_Malloc(multiplier * need
2307
4.37k
                                          * sizeof(PyObject *));
2308
4.37k
    if (ms->a.keys != NULL) {
2309
4.37k
        ms->alloced = need;
2310
4.37k
        if (ms->a.values != NULL)
2311
4.30k
            ms->a.values = &ms->a.keys[need];
2312
4.37k
        return 0;
2313
4.37k
    }
2314
0
    PyErr_NoMemory();
2315
0
    return -1;
2316
4.37k
}
2317
60.4k
#define MERGE_GETMEM(MS, NEED) ((NEED) <= (MS)->alloced ? 0 :   \
2318
60.4k
                                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
37.7k
{
2330
37.7k
    Py_ssize_t k;
2331
37.7k
    sortslice dest;
2332
37.7k
    int result = -1;            /* guilty until proved innocent */
2333
37.7k
    Py_ssize_t min_gallop;
2334
2335
37.7k
    assert(ms && ssa.keys && ssb.keys && na > 0 && nb > 0);
2336
37.7k
    assert(ssa.keys + na == ssb.keys);
2337
37.7k
    if (MERGE_GETMEM(ms, na) < 0)
2338
0
        return -1;
2339
37.7k
    sortslice_memcpy(&ms->a, 0, &ssa, 0, na);
2340
37.7k
    dest = ssa;
2341
37.7k
    ssa = ms->a;
2342
2343
37.7k
    sortslice_copy_incr(&dest, &ssb);
2344
37.7k
    --nb;
2345
37.7k
    if (nb == 0)
2346
2.17k
        goto Succeed;
2347
35.5k
    if (na == 1)
2348
6.98k
        goto CopyB;
2349
2350
28.5k
    min_gallop = ms->min_gallop;
2351
43.3k
    for (;;) {
2352
43.3k
        Py_ssize_t acount = 0;          /* # of times A won in a row */
2353
43.3k
        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
588k
        for (;;) {
2359
588k
            assert(na > 1 && nb > 0);
2360
588k
            k = ISLT(ssb.keys[0], ssa.keys[0]);
2361
588k
            if (k) {
2362
294k
                if (k < 0)
2363
0
                    goto Fail;
2364
294k
                sortslice_copy_incr(&dest, &ssb);
2365
294k
                ++bcount;
2366
294k
                acount = 0;
2367
294k
                --nb;
2368
294k
                if (nb == 0)
2369
3.52k
                    goto Succeed;
2370
290k
                if (bcount >= min_gallop)
2371
18.2k
                    break;
2372
290k
            }
2373
293k
            else {
2374
293k
                sortslice_copy_incr(&dest, &ssa);
2375
293k
                ++acount;
2376
293k
                bcount = 0;
2377
293k
                --na;
2378
293k
                if (na == 1)
2379
2.84k
                    goto CopyB;
2380
291k
                if (acount >= min_gallop)
2381
18.8k
                    break;
2382
291k
            }
2383
588k
        }
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
37.0k
        ++min_gallop;
2391
64.1k
        do {
2392
64.1k
            assert(na > 1 && nb > 0);
2393
64.1k
            min_gallop -= min_gallop > 1;
2394
64.1k
            ms->min_gallop = min_gallop;
2395
64.1k
            k = gallop_right(ms, ssb.keys[0], ssa.keys, na, 0);
2396
64.1k
            acount = k;
2397
64.1k
            if (k) {
2398
40.5k
                if (k < 0)
2399
0
                    goto Fail;
2400
40.5k
                sortslice_memcpy(&dest, 0, &ssa, 0, k);
2401
40.5k
                sortslice_advance(&dest, k);
2402
40.5k
                sortslice_advance(&ssa, k);
2403
40.5k
                na -= k;
2404
40.5k
                if (na == 1)
2405
6.98k
                    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
33.5k
                if (na == 0)
2411
0
                    goto Succeed;
2412
33.5k
            }
2413
57.1k
            sortslice_copy_incr(&dest, &ssb);
2414
57.1k
            --nb;
2415
57.1k
            if (nb == 0)
2416
1.47k
                goto Succeed;
2417
2418
55.6k
            k = gallop_left(ms, ssa.keys[0], ssb.keys, nb, 0);
2419
55.6k
            bcount = k;
2420
55.6k
            if (k) {
2421
49.1k
                if (k < 0)
2422
0
                    goto Fail;
2423
49.1k
                sortslice_memmove(&dest, 0, &ssb, 0, k);
2424
49.1k
                sortslice_advance(&dest, k);
2425
49.1k
                sortslice_advance(&ssb, k);
2426
49.1k
                nb -= k;
2427
49.1k
                if (nb == 0)
2428
10.2k
                    goto Succeed;
2429
49.1k
            }
2430
45.4k
            sortslice_copy_incr(&dest, &ssa);
2431
45.4k
            --na;
2432
45.4k
            if (na == 1)
2433
3.44k
                goto CopyB;
2434
45.4k
        } while (acount >= MIN_GALLOP || bcount >= MIN_GALLOP);
2435
14.8k
        ++min_gallop;           /* penalize it for leaving galloping mode */
2436
14.8k
        ms->min_gallop = min_gallop;
2437
14.8k
    }
2438
17.4k
Succeed:
2439
17.4k
    result = 0;
2440
17.4k
Fail:
2441
17.4k
    if (na)
2442
17.4k
        sortslice_memcpy(&dest, 0, &ssa, 0, na);
2443
17.4k
    return result;
2444
20.2k
CopyB:
2445
20.2k
    assert(na == 1 && nb > 0);
2446
    /* The last element of ssa belongs at the end of the merge. */
2447
20.2k
    sortslice_memmove(&dest, 0, &ssb, 0, nb);
2448
20.2k
    sortslice_copy(&dest, nb, &ssa, 0);
2449
20.2k
    return 0;
2450
17.4k
}
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
22.6k
{
2462
22.6k
    Py_ssize_t k;
2463
22.6k
    sortslice dest, basea, baseb;
2464
22.6k
    int result = -1;            /* guilty until proved innocent */
2465
22.6k
    Py_ssize_t min_gallop;
2466
2467
22.6k
    assert(ms && ssa.keys && ssb.keys && na > 0 && nb > 0);
2468
22.6k
    assert(ssa.keys + na == ssb.keys);
2469
22.6k
    if (MERGE_GETMEM(ms, nb) < 0)
2470
0
        return -1;
2471
22.6k
    dest = ssb;
2472
22.6k
    sortslice_advance(&dest, nb-1);
2473
22.6k
    sortslice_memcpy(&ms->a, 0, &ssb, 0, nb);
2474
22.6k
    basea = ssa;
2475
22.6k
    baseb = ms->a;
2476
22.6k
    ssb.keys = ms->a.keys + nb - 1;
2477
22.6k
    if (ssb.values != NULL)
2478
21.4k
        ssb.values = ms->a.values + nb - 1;
2479
22.6k
    sortslice_advance(&ssa, na - 1);
2480
2481
22.6k
    sortslice_copy_decr(&dest, &ssa);
2482
22.6k
    --na;
2483
22.6k
    if (na == 0)
2484
0
        goto Succeed;
2485
22.6k
    if (nb == 1)
2486
1.04k
        goto CopyA;
2487
2488
21.6k
    min_gallop = ms->min_gallop;
2489
34.0k
    for (;;) {
2490
34.0k
        Py_ssize_t acount = 0;          /* # of times A won in a row */
2491
34.0k
        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
2.74M
        for (;;) {
2497
2.74M
            assert(na > 0 && nb > 1);
2498
2.74M
            k = ISLT(ssb.keys[0], ssa.keys[0]);
2499
2.74M
            if (k) {
2500
1.37M
                if (k < 0)
2501
0
                    goto Fail;
2502
1.37M
                sortslice_copy_decr(&dest, &ssa);
2503
1.37M
                ++acount;
2504
1.37M
                bcount = 0;
2505
1.37M
                --na;
2506
1.37M
                if (na == 0)
2507
1.09k
                    goto Succeed;
2508
1.37M
                if (acount >= min_gallop)
2509
15.4k
                    break;
2510
1.37M
            }
2511
1.36M
            else {
2512
1.36M
                sortslice_copy_decr(&dest, &ssb);
2513
1.36M
                ++bcount;
2514
1.36M
                acount = 0;
2515
1.36M
                --nb;
2516
1.36M
                if (nb == 1)
2517
729
                    goto CopyA;
2518
1.36M
                if (bcount >= min_gallop)
2519
16.7k
                    break;
2520
1.36M
            }
2521
2.74M
        }
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
32.2k
        ++min_gallop;
2529
55.6k
        do {
2530
55.6k
            assert(na > 0 && nb > 1);
2531
55.6k
            min_gallop -= min_gallop > 1;
2532
55.6k
            ms->min_gallop = min_gallop;
2533
55.6k
            k = gallop_right(ms, ssb.keys[0], basea.keys, na, na-1);
2534
55.6k
            if (k < 0)
2535
0
                goto Fail;
2536
55.6k
            k = na - k;
2537
55.6k
            acount = k;
2538
55.6k
            if (k) {
2539
34.6k
                sortslice_advance(&dest, -k);
2540
34.6k
                sortslice_advance(&ssa, -k);
2541
34.6k
                sortslice_memmove(&dest, 1, &ssa, 1, k);
2542
34.6k
                na -= k;
2543
34.6k
                if (na == 0)
2544
9.39k
                    goto Succeed;
2545
34.6k
            }
2546
46.2k
            sortslice_copy_decr(&dest, &ssb);
2547
46.2k
            --nb;
2548
46.2k
            if (nb == 1)
2549
788
                goto CopyA;
2550
2551
45.4k
            k = gallop_left(ms, ssa.keys[0], baseb.keys, nb, nb-1);
2552
45.4k
            if (k < 0)
2553
0
                goto Fail;
2554
45.4k
            k = nb - k;
2555
45.4k
            bcount = k;
2556
45.4k
            if (k) {
2557
37.7k
                sortslice_advance(&dest, -k);
2558
37.7k
                sortslice_advance(&ssb, -k);
2559
37.7k
                sortslice_memcpy(&dest, 1, &ssb, 1, k);
2560
37.7k
                nb -= k;
2561
37.7k
                if (nb == 1)
2562
8.95k
                    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
28.7k
                if (nb == 0)
2568
0
                    goto Succeed;
2569
28.7k
            }
2570
36.5k
            sortslice_copy_decr(&dest, &ssa);
2571
36.5k
            --na;
2572
36.5k
            if (na == 0)
2573
680
                goto Succeed;
2574
36.5k
        } while (acount >= MIN_GALLOP || bcount >= MIN_GALLOP);
2575
12.4k
        ++min_gallop;           /* penalize it for leaving galloping mode */
2576
12.4k
        ms->min_gallop = min_gallop;
2577
12.4k
    }
2578
11.1k
Succeed:
2579
11.1k
    result = 0;
2580
11.1k
Fail:
2581
11.1k
    if (nb)
2582
11.1k
        sortslice_memcpy(&dest, -(nb-1), &baseb, 0, nb);
2583
11.1k
    return result;
2584
11.5k
CopyA:
2585
11.5k
    assert(nb == 1 && na > 0);
2586
    /* The first element of ssb belongs at the front of the merge. */
2587
11.5k
    sortslice_memmove(&dest, 1-na, &ssa, 1-na, na);
2588
11.5k
    sortslice_advance(&dest, -na);
2589
11.5k
    sortslice_advance(&ssa, -na);
2590
11.5k
    sortslice_copy(&dest, 0, &ssb, 0);
2591
11.5k
    return 0;
2592
11.1k
}
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
60.9k
{
2600
60.9k
    sortslice ssa, ssb;
2601
60.9k
    Py_ssize_t na, nb;
2602
60.9k
    Py_ssize_t k;
2603
2604
60.9k
    assert(ms != NULL);
2605
60.9k
    assert(ms->n >= 2);
2606
60.9k
    assert(i >= 0);
2607
60.9k
    assert(i == ms->n - 2 || i == ms->n - 3);
2608
2609
60.9k
    ssa = ms->pending[i].base;
2610
60.9k
    na = ms->pending[i].len;
2611
60.9k
    ssb = ms->pending[i+1].base;
2612
60.9k
    nb = ms->pending[i+1].len;
2613
60.9k
    assert(na > 0 && nb > 0);
2614
60.9k
    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
60.9k
    ms->pending[i].len = na + nb;
2621
60.9k
    if (i == ms->n - 3)
2622
399
        ms->pending[i+1] = ms->pending[i+2];
2623
60.9k
    --ms->n;
2624
2625
    /* Where does b start in a?  Elements in a before that can be
2626
     * ignored (already in place).
2627
     */
2628
60.9k
    k = gallop_right(ms, *ssb.keys, ssa.keys, na, 0);
2629
60.9k
    if (k < 0)
2630
0
        return -1;
2631
60.9k
    sortslice_advance(&ssa, k);
2632
60.9k
    na -= k;
2633
60.9k
    if (na == 0)
2634
532
        return 0;
2635
2636
    /* Where does a end in b?  Elements in b after that can be
2637
     * ignored (already in place).
2638
     */
2639
60.4k
    nb = gallop_left(ms, ssa.keys[na-1], ssb.keys, nb, nb-1);
2640
60.4k
    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
60.4k
    if (na <= nb)
2647
37.7k
        return merge_lo(ms, ssa, na, ssb, nb);
2648
22.6k
    else
2649
22.6k
        return merge_hi(ms, ssa, na, ssb, nb);
2650
60.4k
}
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
60.9k
{
2660
60.9k
    int result = 0;
2661
60.9k
    assert(s1 >= 0);
2662
60.9k
    assert(n1 > 0 && n2 > 0);
2663
60.9k
    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
60.9k
    Py_ssize_t a = 2 * s1 + n1;  /* 2*a */
2674
60.9k
    Py_ssize_t b = a + n1 + n2;  /* 2*b */
2675
    /* Emulate a/n and b/n one bit a time, until bits differ. */
2676
233k
    for (;;) {
2677
233k
        ++result;
2678
233k
        if (a >= n) {  /* both quotient bits are 1 */
2679
88.8k
            assert(b >= a);
2680
88.8k
            a -= n;
2681
88.8k
            b -= n;
2682
88.8k
        }
2683
144k
        else if (b >= n) {  /* a/n bit is 0, b/n bit is 1 */
2684
60.9k
            break;
2685
60.9k
        } /* else both quotient bits are 0 */
2686
233k
        assert(a < b && b < n);
2687
172k
        a <<= 1;
2688
172k
        b <<= 1;
2689
172k
    }
2690
60.9k
    return result;
2691
60.9k
}
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
463k
{
2707
463k
    assert(ms);
2708
463k
    if (ms->n) {
2709
60.9k
        assert(ms->n > 0);
2710
60.9k
        struct s_slice *p = ms->pending;
2711
60.9k
        Py_ssize_t s1 = p[ms->n - 1].base.keys - ms->basekeys; /* start index */
2712
60.9k
        Py_ssize_t n1 = p[ms->n - 1].len;
2713
60.9k
        int power = powerloop(s1, n1, n2, ms->listlen);
2714
99.8k
        while (ms->n > 1 && p[ms->n - 2].power > power) {
2715
38.9k
            if (merge_at(ms, ms->n - 2) < 0)
2716
0
                return -1;
2717
38.9k
        }
2718
60.9k
        assert(ms->n < 2 || p[ms->n - 2].power < power);
2719
60.9k
        p[ms->n - 1].power = power;
2720
60.9k
    }
2721
463k
    return 0;
2722
463k
}
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
424k
    while (ms->n > 1) {
2736
22.0k
        Py_ssize_t n = ms->n - 2;
2737
22.0k
        if (n > 0 && p[n-1].len < p[n+1].len)
2738
399
            --n;
2739
22.0k
        if (merge_at(ms, n) < 0)
2740
0
            return -1;
2741
22.0k
    }
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
463k
{
2749
463k
    ms->mr_current += ms->listlen;
2750
463k
    assert(ms->mr_current >= 0); /* no overflow */
2751
463k
    Py_ssize_t result = ms->mr_current >> ms->mr_e;
2752
463k
    ms->mr_current &= ms->mr_mask;
2753
463k
    return result;
2754
463k
}
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
8.51M
{
2780
8.51M
    PyObject *res_obj; int res;
2781
2782
    /* No assumptions, because we check first: */
2783
8.51M
    if (Py_TYPE(v)->tp_richcompare != ms->key_richcompare)
2784
0
        return PyObject_RichCompareBool(v, w, Py_LT);
2785
2786
8.51M
    assert(ms->key_richcompare != NULL);
2787
8.51M
    res_obj = (*(ms->key_richcompare))(v, w, Py_LT);
2788
2789
8.51M
    if (res_obj == Py_NotImplemented) {
2790
0
        Py_DECREF(res_obj);
2791
0
        return PyObject_RichCompareBool(v, w, Py_LT);
2792
0
    }
2793
8.51M
    if (res_obj == NULL)
2794
0
        return -1;
2795
2796
8.51M
    if (PyBool_Check(res_obj)) {
2797
8.51M
        res = (res_obj == Py_True);
2798
8.51M
        assert(_Py_IsImmortal(res_obj));
2799
8.51M
    }
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
8.51M
    return res;
2811
8.51M
}
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
505k
{
2817
505k
    Py_ssize_t len;
2818
505k
    int res;
2819
2820
    /* Modified from Objects/unicodeobject.c:unicode_compare, assuming: */
2821
505k
    assert(Py_IS_TYPE(v, &PyUnicode_Type));
2822
505k
    assert(Py_IS_TYPE(w, &PyUnicode_Type));
2823
505k
    assert(PyUnicode_KIND(v) == PyUnicode_KIND(w));
2824
505k
    assert(PyUnicode_KIND(v) == PyUnicode_1BYTE_KIND);
2825
2826
505k
    len = Py_MIN(PyUnicode_GET_LENGTH(v), PyUnicode_GET_LENGTH(w));
2827
505k
    res = memcmp(PyUnicode_DATA(v), PyUnicode_DATA(w), len);
2828
2829
505k
    res = (res != 0 ?
2830
502k
           res < 0 :
2831
505k
           PyUnicode_GET_LENGTH(v) < PyUnicode_GET_LENGTH(w));
2832
2833
505k
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));;
2834
505k
    return res;
2835
505k
}
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
9.40M
{
2841
9.40M
    PyLongObject *vl, *wl;
2842
9.40M
    intptr_t v0, w0;
2843
9.40M
    int res;
2844
2845
    /* Modified from Objects/longobject.c:long_compare, assuming: */
2846
9.40M
    assert(Py_IS_TYPE(v, &PyLong_Type));
2847
9.40M
    assert(Py_IS_TYPE(w, &PyLong_Type));
2848
9.40M
    assert(_PyLong_IsCompact((PyLongObject *)v));
2849
9.40M
    assert(_PyLong_IsCompact((PyLongObject *)w));
2850
2851
9.40M
    vl = (PyLongObject*)v;
2852
9.40M
    wl = (PyLongObject*)w;
2853
2854
9.40M
    v0 = _PyLong_CompactValue(vl);
2855
9.40M
    w0 = _PyLong_CompactValue(wl);
2856
2857
9.40M
    res = v0 < w0;
2858
9.40M
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));
2859
9.40M
    return res;
2860
9.40M
}
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
@critical_section
2926
list.sort
2927
2928
    *
2929
    key as keyfunc: object = None
2930
    reverse: bool = False
2931
2932
Sort the list in ascending order and return None.
2933
2934
The sort is in-place (i.e. the list itself is modified) and stable
2935
(i.e. the order of two equal elements is maintained).
2936
2937
If a key function is given, apply it once to each list item and sort
2938
them, ascending or descending, according to their function values.
2939
2940
The reverse flag can be set to sort in descending order.
2941
[clinic start generated code]*/
2942
2943
static PyObject *
2944
list_sort_impl(PyListObject *self, PyObject *keyfunc, int reverse)
2945
/*[clinic end generated code: output=57b9f9c5e23fbe42 input=c145526281e1fb9f]*/
2946
5.07M
{
2947
5.07M
    MergeState ms;
2948
5.07M
    Py_ssize_t nremaining;
2949
5.07M
    Py_ssize_t minrun;
2950
5.07M
    sortslice lo;
2951
5.07M
    Py_ssize_t saved_ob_size, saved_allocated;
2952
5.07M
    PyObject **saved_ob_item;
2953
5.07M
    PyObject **final_ob_item;
2954
5.07M
    PyObject *result = NULL;            /* guilty until proved innocent */
2955
5.07M
    Py_ssize_t i;
2956
5.07M
    PyObject **keys;
2957
2958
5.07M
    assert(self != NULL);
2959
5.07M
    assert(PyList_Check(self));
2960
5.07M
    if (keyfunc == Py_None)
2961
4.43M
        keyfunc = NULL;
2962
2963
    /* The list is temporarily made empty, so that mutations performed
2964
     * by comparison functions can't affect the slice of memory we're
2965
     * sorting (allowing mutations during sorting is a core-dump
2966
     * factory, since ob_item may change).
2967
     */
2968
5.07M
    saved_ob_size = Py_SIZE(self);
2969
5.07M
    saved_ob_item = self->ob_item;
2970
5.07M
    saved_allocated = self->allocated;
2971
5.07M
    Py_SET_SIZE(self, 0);
2972
5.07M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, NULL);
2973
5.07M
    self->allocated = -1; /* any operation will reset it to >= 0 */
2974
2975
5.07M
    if (keyfunc == NULL) {
2976
4.44M
        keys = NULL;
2977
4.44M
        lo.keys = saved_ob_item;
2978
4.44M
        lo.values = NULL;
2979
4.44M
    }
2980
627k
    else {
2981
627k
        if (saved_ob_size < MERGESTATE_TEMP_SIZE/2)
2982
            /* Leverage stack space we allocated but won't otherwise use */
2983
622k
            keys = &ms.temparray[saved_ob_size+1];
2984
4.29k
        else {
2985
4.29k
            keys = PyMem_Malloc(sizeof(PyObject *) * saved_ob_size);
2986
4.29k
            if (keys == NULL) {
2987
0
                PyErr_NoMemory();
2988
0
                goto keyfunc_fail;
2989
0
            }
2990
4.29k
        }
2991
2992
5.20M
        for (i = 0; i < saved_ob_size ; i++) {
2993
4.57M
            keys[i] = PyObject_CallOneArg(keyfunc, saved_ob_item[i]);
2994
4.57M
            if (keys[i] == NULL) {
2995
0
                for (i=i-1 ; i>=0 ; i--)
2996
0
                    Py_DECREF(keys[i]);
2997
0
                if (saved_ob_size >= MERGESTATE_TEMP_SIZE/2)
2998
0
                    PyMem_Free(keys);
2999
0
                goto keyfunc_fail;
3000
0
            }
3001
4.57M
        }
3002
3003
627k
        lo.keys = keys;
3004
627k
        lo.values = saved_ob_item;
3005
627k
    }
3006
3007
3008
    /* The pre-sort check: here's where we decide which compare function to use.
3009
     * How much optimization is safe? We test for homogeneity with respect to
3010
     * several properties that are expensive to check at compare-time, and
3011
     * set ms appropriately. */
3012
5.07M
    if (saved_ob_size > 1) {
3013
        /* Assume the first element is representative of the whole list. */
3014
402k
        int keys_are_in_tuples = (Py_IS_TYPE(lo.keys[0], &PyTuple_Type) &&
3015
1.20k
                                  Py_SIZE(lo.keys[0]) > 0);
3016
3017
402k
        PyTypeObject* key_type = (keys_are_in_tuples ?
3018
1.20k
                                  Py_TYPE(PyTuple_GET_ITEM(lo.keys[0], 0)) :
3019
402k
                                  Py_TYPE(lo.keys[0]));
3020
3021
402k
        int keys_are_all_same_type = 1;
3022
402k
        int strings_are_latin = 1;
3023
402k
        int ints_are_bounded = 1;
3024
3025
        /* Prove that assumption by checking every key. */
3026
8.20M
        for (i=0; i < saved_ob_size; i++) {
3027
3028
7.79M
            if (keys_are_in_tuples &&
3029
2.27M
                !(Py_IS_TYPE(lo.keys[i], &PyTuple_Type) && Py_SIZE(lo.keys[i]) != 0)) {
3030
0
                keys_are_in_tuples = 0;
3031
0
                keys_are_all_same_type = 0;
3032
0
                break;
3033
0
            }
3034
3035
            /* Note: for lists of tuples, key is the first element of the tuple
3036
             * lo.keys[i], not lo.keys[i] itself! We verify type-homogeneity
3037
             * for lists of tuples in the if-statement directly above. */
3038
7.79M
            PyObject *key = (keys_are_in_tuples ?
3039
2.27M
                             PyTuple_GET_ITEM(lo.keys[i], 0) :
3040
7.79M
                             lo.keys[i]);
3041
3042
7.79M
            if (!Py_IS_TYPE(key, key_type)) {
3043
4
                keys_are_all_same_type = 0;
3044
                /* If keys are in tuple we must loop over the whole list to make
3045
                   sure all items are tuples */
3046
4
                if (!keys_are_in_tuples) {
3047
4
                    break;
3048
4
                }
3049
4
            }
3050
3051
7.79M
            if (keys_are_all_same_type) {
3052
7.79M
                if (key_type == &PyLong_Type &&
3053
6.31M
                    ints_are_bounded &&
3054
4.70M
                    !_PyLong_IsCompact((PyLongObject *)key)) {
3055
3056
6.00k
                    ints_are_bounded = 0;
3057
6.00k
                }
3058
7.79M
                else if (key_type == &PyUnicode_Type &&
3059
1.25M
                         strings_are_latin &&
3060
467k
                         PyUnicode_KIND(key) != PyUnicode_1BYTE_KIND) {
3061
3062
208k
                        strings_are_latin = 0;
3063
208k
                    }
3064
7.79M
                }
3065
7.79M
            }
3066
3067
        /* Choose the best compare, given what we now know about the keys. */
3068
402k
        if (keys_are_all_same_type) {
3069
3070
402k
            if (key_type == &PyUnicode_Type && strings_are_latin) {
3071
77.2k
                ms.key_compare = unsafe_latin_compare;
3072
77.2k
            }
3073
324k
            else if (key_type == &PyLong_Type && ints_are_bounded) {
3074
85.9k
                ms.key_compare = unsafe_long_compare;
3075
85.9k
            }
3076
238k
            else if (key_type == &PyFloat_Type) {
3077
0
                ms.key_compare = unsafe_float_compare;
3078
0
            }
3079
238k
            else if ((ms.key_richcompare = key_type->tp_richcompare) != NULL) {
3080
238k
                ms.key_compare = unsafe_object_compare;
3081
238k
            }
3082
0
            else {
3083
0
                ms.key_compare = safe_object_compare;
3084
0
            }
3085
402k
        }
3086
4
        else {
3087
4
            ms.key_compare = safe_object_compare;
3088
4
        }
3089
3090
402k
        if (keys_are_in_tuples) {
3091
            /* Make sure we're not dealing with tuples of tuples
3092
             * (remember: here, key_type refers list [key[0] for key in keys]) */
3093
1.20k
            if (key_type == &PyTuple_Type) {
3094
0
                ms.tuple_elem_compare = safe_object_compare;
3095
0
            }
3096
1.20k
            else {
3097
1.20k
                ms.tuple_elem_compare = ms.key_compare;
3098
1.20k
            }
3099
3100
1.20k
            ms.key_compare = unsafe_tuple_compare;
3101
1.20k
        }
3102
402k
    }
3103
    /* End of pre-sort check: ms is now set properly! */
3104
3105
5.07M
    merge_init(&ms, saved_ob_size, keys != NULL, &lo);
3106
3107
5.07M
    nremaining = saved_ob_size;
3108
5.07M
    if (nremaining < 2)
3109
4.67M
        goto succeed;
3110
3111
    /* Reverse sort stability achieved by initially reversing the list,
3112
    applying a stable forward sort, then reversing the final result. */
3113
402k
    if (reverse) {
3114
122
        if (keys != NULL)
3115
0
            reverse_slice(&keys[0], &keys[saved_ob_size]);
3116
122
        reverse_slice(&saved_ob_item[0], &saved_ob_item[saved_ob_size]);
3117
122
    }
3118
3119
    /* March over the array once, left to right, finding natural runs,
3120
     * and extending short natural runs to minrun elements.
3121
     */
3122
463k
    do {
3123
463k
        Py_ssize_t n;
3124
3125
        /* Identify next run. */
3126
463k
        n = count_run(&ms, &lo, nremaining);
3127
463k
        if (n < 0)
3128
0
            goto fail;
3129
        /* If short, extend to min(minrun, nremaining). */
3130
463k
        minrun = minrun_next(&ms);
3131
463k
        if (n < minrun) {
3132
282k
            const Py_ssize_t force = nremaining <= minrun ?
3133
238k
                              nremaining : minrun;
3134
282k
            if (binarysort(&ms, &lo, force, n) < 0)
3135
0
                goto fail;
3136
282k
            n = force;
3137
282k
        }
3138
        /* Maybe merge pending runs. */
3139
463k
        assert(ms.n == 0 || ms.pending[ms.n -1].base.keys +
3140
463k
                            ms.pending[ms.n-1].len == lo.keys);
3141
463k
        if (found_new_run(&ms, n) < 0)
3142
0
            goto fail;
3143
        /* Push new run on stack. */
3144
463k
        assert(ms.n < MAX_MERGE_PENDING);
3145
463k
        ms.pending[ms.n].base = lo;
3146
463k
        ms.pending[ms.n].len = n;
3147
463k
        ++ms.n;
3148
        /* Advance to find next run. */
3149
463k
        sortslice_advance(&lo, n);
3150
463k
        nremaining -= n;
3151
463k
    } while (nremaining);
3152
3153
402k
    if (merge_force_collapse(&ms) < 0)
3154
0
        goto fail;
3155
402k
    assert(ms.n == 1);
3156
402k
    assert(keys == NULL
3157
402k
           ? ms.pending[0].base.keys == saved_ob_item
3158
402k
           : ms.pending[0].base.keys == &keys[0]);
3159
402k
    assert(ms.pending[0].len == saved_ob_size);
3160
402k
    lo = ms.pending[0].base;
3161
3162
5.07M
succeed:
3163
5.07M
    result = Py_None;
3164
5.07M
fail:
3165
5.07M
    if (keys != NULL) {
3166
5.20M
        for (i = 0; i < saved_ob_size; i++)
3167
4.57M
            Py_DECREF(keys[i]);
3168
627k
        if (saved_ob_size >= MERGESTATE_TEMP_SIZE/2)
3169
4.29k
            PyMem_Free(keys);
3170
627k
    }
3171
3172
5.07M
    if (self->allocated != -1 && result != NULL) {
3173
        /* The user mucked with the list during the sort,
3174
         * and we don't already have another error to report.
3175
         */
3176
0
        PyErr_SetString(PyExc_ValueError, "list modified during sort");
3177
0
        result = NULL;
3178
0
    }
3179
3180
5.07M
    if (reverse && saved_ob_size > 1)
3181
122
        reverse_slice(saved_ob_item, saved_ob_item + saved_ob_size);
3182
3183
5.07M
    merge_freemem(&ms);
3184
3185
5.07M
keyfunc_fail:
3186
5.07M
    final_ob_item = self->ob_item;
3187
5.07M
    i = Py_SIZE(self);
3188
5.07M
    Py_SET_SIZE(self, saved_ob_size);
3189
5.07M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, saved_ob_item);
3190
5.07M
    FT_ATOMIC_STORE_SSIZE_RELAXED(self->allocated, saved_allocated);
3191
5.07M
    if (final_ob_item != NULL) {
3192
        /* we cannot use list_clear() for this because it does not
3193
           guarantee that the list is really empty when it returns */
3194
0
        while (--i >= 0) {
3195
0
            Py_XDECREF(final_ob_item[i]);
3196
0
        }
3197
#ifdef Py_GIL_DISABLED
3198
        ensure_shared_on_resize(self);
3199
        bool use_qsbr = _PyObject_GC_IS_SHARED(self);
3200
#else
3201
0
        bool use_qsbr = false;
3202
0
#endif
3203
0
        free_list_items(final_ob_item, use_qsbr);
3204
0
    }
3205
5.07M
    return Py_XNewRef(result);
3206
5.07M
}
3207
#undef IFLT
3208
#undef ISLT
3209
3210
int
3211
PyList_Sort(PyObject *v)
3212
11.4k
{
3213
11.4k
    if (v == NULL || !PyList_Check(v)) {
3214
0
        PyErr_BadInternalCall();
3215
0
        return -1;
3216
0
    }
3217
11.4k
    Py_BEGIN_CRITICAL_SECTION(v);
3218
11.4k
    v = list_sort_impl((PyListObject *)v, NULL, 0);
3219
11.4k
    Py_END_CRITICAL_SECTION();
3220
11.4k
    if (v == NULL)
3221
0
        return -1;
3222
11.4k
    Py_DECREF(v);
3223
11.4k
    return 0;
3224
11.4k
}
3225
3226
/*[clinic input]
3227
@critical_section
3228
list.reverse
3229
3230
Reverse *IN PLACE*.
3231
[clinic start generated code]*/
3232
3233
static PyObject *
3234
list_reverse_impl(PyListObject *self)
3235
/*[clinic end generated code: output=482544fc451abea9 input=04ac8e0c6a66e4d9]*/
3236
0
{
3237
0
    if (Py_SIZE(self) > 1)
3238
0
        reverse_slice(self->ob_item, self->ob_item + Py_SIZE(self));
3239
0
    Py_RETURN_NONE;
3240
0
}
3241
3242
int
3243
PyList_Reverse(PyObject *v)
3244
66
{
3245
66
    PyListObject *self = (PyListObject *)v;
3246
3247
66
    if (v == NULL || !PyList_Check(v)) {
3248
0
        PyErr_BadInternalCall();
3249
0
        return -1;
3250
0
    }
3251
66
    Py_BEGIN_CRITICAL_SECTION(self);
3252
66
    if (Py_SIZE(self) > 1) {
3253
66
        reverse_slice(self->ob_item, self->ob_item + Py_SIZE(self));
3254
66
    }
3255
66
    Py_END_CRITICAL_SECTION()
3256
66
    return 0;
3257
66
}
3258
3259
PyObject *
3260
PyList_AsTuple(PyObject *v)
3261
286k
{
3262
286k
    if (v == NULL || !PyList_Check(v)) {
3263
0
        PyErr_BadInternalCall();
3264
0
        return NULL;
3265
0
    }
3266
286k
    PyObject *ret;
3267
286k
    PyListObject *self = (PyListObject *)v;
3268
286k
    Py_BEGIN_CRITICAL_SECTION(self);
3269
286k
    ret = PyTuple_FromArray(self->ob_item, Py_SIZE(v));
3270
286k
    Py_END_CRITICAL_SECTION();
3271
286k
    return ret;
3272
286k
}
3273
3274
PyObject *
3275
_PyList_AsTupleAndClear(PyListObject *self)
3276
11.2M
{
3277
11.2M
    assert(self != NULL);
3278
11.2M
    PyObject *ret;
3279
11.2M
    if (self->ob_item == NULL) {
3280
89.0k
        return PyTuple_New(0);
3281
89.0k
    }
3282
11.1M
    Py_BEGIN_CRITICAL_SECTION(self);
3283
11.1M
    PyObject **items = self->ob_item;
3284
11.1M
    Py_ssize_t size = Py_SIZE(self);
3285
11.1M
    Py_SET_SIZE(self, 0);
3286
11.1M
    ret = _PyTuple_FromArraySteal(items, size);
3287
11.1M
    Py_END_CRITICAL_SECTION();
3288
11.1M
    return ret;
3289
11.2M
}
3290
3291
PyObject *
3292
_PyList_FromStackRefStealOnSuccess(const _PyStackRef *src, Py_ssize_t n)
3293
108M
{
3294
108M
    if (n == 0) {
3295
95.9M
        return PyList_New(0);
3296
95.9M
    }
3297
3298
12.6M
    PyListObject *list = (PyListObject *)PyList_New(n);
3299
12.6M
    if (list == NULL) {
3300
0
        return NULL;
3301
0
    }
3302
3303
12.6M
    PyObject **dst = list->ob_item;
3304
29.1M
    for (Py_ssize_t i = 0; i < n; i++) {
3305
16.4M
        dst[i] = PyStackRef_AsPyObjectSteal(src[i]);
3306
16.4M
    }
3307
3308
12.6M
    return (PyObject *)list;
3309
12.6M
}
3310
3311
/*[clinic input]
3312
list.index
3313
3314
    value: object
3315
    start: slice_index(accept={int}) = 0
3316
    stop: slice_index(accept={int}, c_default="PY_SSIZE_T_MAX") = sys.maxsize
3317
    /
3318
3319
Return first index of value.
3320
3321
Raises ValueError if the value is not present.
3322
[clinic start generated code]*/
3323
3324
static PyObject *
3325
list_index_impl(PyListObject *self, PyObject *value, Py_ssize_t start,
3326
                Py_ssize_t stop)
3327
/*[clinic end generated code: output=ec51b88787e4e481 input=40ec5826303a0eb1]*/
3328
0
{
3329
0
    if (start < 0) {
3330
0
        start += Py_SIZE(self);
3331
0
        if (start < 0)
3332
0
            start = 0;
3333
0
    }
3334
0
    if (stop < 0) {
3335
0
        stop += Py_SIZE(self);
3336
0
        if (stop < 0)
3337
0
            stop = 0;
3338
0
    }
3339
0
    for (Py_ssize_t i = start; i < stop; i++) {
3340
0
        PyObject *obj = list_get_item_ref(self, i);
3341
0
        if (obj == NULL) {
3342
            // out-of-bounds
3343
0
            break;
3344
0
        }
3345
0
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3346
0
        Py_DECREF(obj);
3347
0
        if (cmp > 0)
3348
0
            return PyLong_FromSsize_t(i);
3349
0
        else if (cmp < 0)
3350
0
            return NULL;
3351
0
    }
3352
0
    PyErr_SetString(PyExc_ValueError, "list.index(x): x not in list");
3353
0
    return NULL;
3354
0
}
3355
3356
/*[clinic input]
3357
list.count
3358
3359
     value: object
3360
     /
3361
3362
Return number of occurrences of value.
3363
[clinic start generated code]*/
3364
3365
static PyObject *
3366
list_count_impl(PyListObject *self, PyObject *value)
3367
/*[clinic end generated code: output=eff66f14aef2df86 input=3bdc3a5e6f749565]*/
3368
24
{
3369
24
    Py_ssize_t count = 0;
3370
144
    for (Py_ssize_t i = 0; ; i++) {
3371
144
        PyObject *obj = list_get_item_ref(self, i);
3372
144
        if (obj == NULL) {
3373
            // out-of-bounds
3374
24
            break;
3375
24
        }
3376
120
        if (obj == value) {
3377
96
           count++;
3378
96
           Py_DECREF(obj);
3379
96
           continue;
3380
96
        }
3381
24
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3382
24
        Py_DECREF(obj);
3383
24
        if (cmp > 0)
3384
0
            count++;
3385
24
        else if (cmp < 0)
3386
0
            return NULL;
3387
24
    }
3388
24
    return PyLong_FromSsize_t(count);
3389
24
}
3390
3391
/*[clinic input]
3392
@critical_section
3393
list.remove
3394
3395
     value: object
3396
     /
3397
3398
Remove first occurrence of value.
3399
3400
Raises ValueError if the value is not present.
3401
[clinic start generated code]*/
3402
3403
static PyObject *
3404
list_remove_impl(PyListObject *self, PyObject *value)
3405
/*[clinic end generated code: output=b9b76a6633b18778 input=26c813dbb95aa93b]*/
3406
15.0k
{
3407
15.0k
    Py_ssize_t i;
3408
3409
15.0k
    for (i = 0; i < Py_SIZE(self); i++) {
3410
15.0k
        PyObject *obj = self->ob_item[i];
3411
15.0k
        Py_INCREF(obj);
3412
15.0k
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3413
15.0k
        Py_DECREF(obj);
3414
15.0k
        if (cmp > 0) {
3415
15.0k
            if (list_ass_slice_lock_held(self, i, i+1, NULL) == 0)
3416
15.0k
                Py_RETURN_NONE;
3417
0
            return NULL;
3418
15.0k
        }
3419
24
        else if (cmp < 0)
3420
0
            return NULL;
3421
15.0k
    }
3422
2
    PyErr_SetString(PyExc_ValueError, "list.remove(x): x not in list");
3423
2
    return NULL;
3424
15.0k
}
3425
3426
static int
3427
list_traverse(PyObject *self, visitproc visit, void *arg)
3428
136M
{
3429
136M
    PyListObject *o = (PyListObject *)self;
3430
136M
    Py_ssize_t i;
3431
3432
461M
    for (i = Py_SIZE(o); --i >= 0; )
3433
325M
        Py_VISIT(o->ob_item[i]);
3434
136M
    return 0;
3435
136M
}
3436
3437
static PyObject *
3438
list_richcompare_impl(PyObject *v, PyObject *w, int op)
3439
135k
{
3440
135k
    PyListObject *vl, *wl;
3441
135k
    Py_ssize_t i;
3442
3443
135k
    if (!PyList_Check(v) || !PyList_Check(w))
3444
1.84k
        Py_RETURN_NOTIMPLEMENTED;
3445
3446
134k
    vl = (PyListObject *)v;
3447
134k
    wl = (PyListObject *)w;
3448
3449
134k
    if (Py_SIZE(vl) != Py_SIZE(wl) && (op == Py_EQ || op == Py_NE)) {
3450
        /* Shortcut: if the lengths differ, the lists differ */
3451
15.8k
        if (op == Py_EQ)
3452
15.8k
            Py_RETURN_FALSE;
3453
0
        else
3454
0
            Py_RETURN_TRUE;
3455
15.8k
    }
3456
3457
    /* Search for the first index where items are different */
3458
155k
    for (i = 0; i < Py_SIZE(vl) && i < Py_SIZE(wl); i++) {
3459
140k
        PyObject *vitem = vl->ob_item[i];
3460
140k
        PyObject *witem = wl->ob_item[i];
3461
140k
        if (vitem == witem) {
3462
36.5k
            continue;
3463
36.5k
        }
3464
3465
104k
        Py_INCREF(vitem);
3466
104k
        Py_INCREF(witem);
3467
104k
        int k = PyObject_RichCompareBool(vitem, witem, Py_EQ);
3468
104k
        Py_DECREF(vitem);
3469
104k
        Py_DECREF(witem);
3470
104k
        if (k < 0)
3471
0
            return NULL;
3472
104k
        if (!k)
3473
102k
            break;
3474
104k
    }
3475
3476
118k
    if (i >= Py_SIZE(vl) || i >= Py_SIZE(wl)) {
3477
        /* No more items to compare -- compare sizes */
3478
15.1k
        Py_RETURN_RICHCOMPARE(Py_SIZE(vl), Py_SIZE(wl), op);
3479
15.1k
    }
3480
3481
    /* We have an item that differs -- shortcuts for EQ/NE */
3482
102k
    if (op == Py_EQ) {
3483
102k
        Py_RETURN_FALSE;
3484
102k
    }
3485
26
    if (op == Py_NE) {
3486
26
        Py_RETURN_TRUE;
3487
26
    }
3488
3489
    /* Compare the final item again using the proper operator */
3490
0
    PyObject *vitem = vl->ob_item[i];
3491
0
    PyObject *witem = wl->ob_item[i];
3492
0
    Py_INCREF(vitem);
3493
0
    Py_INCREF(witem);
3494
0
    PyObject *result = PyObject_RichCompare(vl->ob_item[i], wl->ob_item[i], op);
3495
0
    Py_DECREF(vitem);
3496
0
    Py_DECREF(witem);
3497
0
    return result;
3498
26
}
3499
3500
static PyObject *
3501
list_richcompare(PyObject *v, PyObject *w, int op)
3502
135k
{
3503
135k
    PyObject *ret;
3504
135k
    Py_BEGIN_CRITICAL_SECTION2(v, w);
3505
135k
    ret = list_richcompare_impl(v, w, op);
3506
135k
    Py_END_CRITICAL_SECTION2()
3507
135k
    return ret;
3508
135k
}
3509
3510
/*[clinic input]
3511
list.__init__
3512
3513
    iterable: object(c_default="NULL") = ()
3514
    /
3515
3516
Built-in mutable sequence.
3517
3518
If no argument is given, the constructor creates a new empty list.
3519
The argument must be an iterable if specified.
3520
[clinic start generated code]*/
3521
3522
static int
3523
list___init___impl(PyListObject *self, PyObject *iterable)
3524
/*[clinic end generated code: output=0f3c21379d01de48 input=b3f3fe7206af8f6b]*/
3525
22.1M
{
3526
    /* Verify list invariants established by PyType_GenericAlloc() */
3527
22.1M
    assert(0 <= Py_SIZE(self));
3528
22.1M
    assert(Py_SIZE(self) <= self->allocated || self->allocated == -1);
3529
22.1M
    assert(self->ob_item != NULL ||
3530
22.1M
           self->allocated == 0 || self->allocated == -1);
3531
3532
    /* Empty previous contents */
3533
22.1M
    if (self->ob_item != NULL) {
3534
0
        Py_BEGIN_CRITICAL_SECTION(self);
3535
0
        list_clear(self);
3536
0
        Py_END_CRITICAL_SECTION();
3537
0
    }
3538
22.1M
    if (iterable != NULL) {
3539
11.2M
        if (_list_extend(self, iterable) < 0) {
3540
0
            return -1;
3541
0
        }
3542
11.2M
    }
3543
22.1M
    return 0;
3544
22.1M
}
3545
3546
static PyObject *
3547
list_vectorcall(PyObject *type, PyObject * const*args,
3548
                size_t nargsf, PyObject *kwnames)
3549
11.2M
{
3550
11.2M
    if (!_PyArg_NoKwnames("list", kwnames)) {
3551
0
        return NULL;
3552
0
    }
3553
11.2M
    Py_ssize_t nargs = PyVectorcall_NARGS(nargsf);
3554
11.2M
    if (!_PyArg_CheckPositional("list", nargs, 0, 1)) {
3555
0
        return NULL;
3556
0
    }
3557
3558
11.2M
    PyObject *list = PyType_GenericAlloc(_PyType_CAST(type), 0);
3559
11.2M
    if (list == NULL) {
3560
0
        return NULL;
3561
0
    }
3562
11.2M
    if (nargs) {
3563
11.2M
        if (list___init___impl((PyListObject *)list, args[0])) {
3564
0
            Py_DECREF(list);
3565
0
            return NULL;
3566
0
        }
3567
11.2M
    }
3568
11.2M
    return list;
3569
11.2M
}
3570
3571
3572
/*[clinic input]
3573
list.__sizeof__
3574
3575
Return the size of the list in memory, in bytes.
3576
[clinic start generated code]*/
3577
3578
static PyObject *
3579
list___sizeof___impl(PyListObject *self)
3580
/*[clinic end generated code: output=3417541f95f9a53e input=b8030a5d5ce8a187]*/
3581
0
{
3582
0
    size_t res = _PyObject_SIZE(Py_TYPE(self));
3583
#ifdef Py_GIL_DISABLED
3584
    PyObject **ob_item = _Py_atomic_load_ptr(&self->ob_item);
3585
    if (ob_item != NULL) {
3586
        res += list_capacity(ob_item) * sizeof(PyObject *);
3587
    }
3588
#else
3589
0
    res += (size_t)self->allocated * sizeof(PyObject *);
3590
0
#endif
3591
0
    return PyLong_FromSize_t(res);
3592
0
}
3593
3594
static PyObject *list_iter(PyObject *seq);
3595
static PyObject *list_subscript(PyObject*, PyObject*);
3596
3597
static PyMethodDef list_methods[] = {
3598
    {"__getitem__", list_subscript, METH_O|METH_COEXIST,
3599
     PyDoc_STR("__getitem__($self, index, /)\n--\n\nReturn self[index].")},
3600
    LIST___REVERSED___METHODDEF
3601
    LIST___SIZEOF___METHODDEF
3602
    PY_LIST_CLEAR_METHODDEF
3603
    LIST_COPY_METHODDEF
3604
    LIST_APPEND_METHODDEF
3605
    LIST_INSERT_METHODDEF
3606
    LIST_EXTEND_METHODDEF
3607
    LIST_POP_METHODDEF
3608
    LIST_REMOVE_METHODDEF
3609
    LIST_INDEX_METHODDEF
3610
    LIST_COUNT_METHODDEF
3611
    LIST_REVERSE_METHODDEF
3612
    LIST_SORT_METHODDEF
3613
    {"__class_getitem__", Py_GenericAlias, METH_O|METH_CLASS,
3614
     PyDoc_STR("lists are generic over the type of their contents")},
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
518
{
3634
518
    PyListObject *np = (PyListObject *)list_new_prealloc(len);
3635
518
    if (np == NULL) {
3636
0
        return NULL;
3637
0
    }
3638
518
    size_t cur;
3639
518
    Py_ssize_t i;
3640
518
    PyObject **src = a->ob_item;
3641
518
    PyObject **dest = np->ob_item;
3642
7.45k
    for (cur = start, i = 0; i < len;
3643
6.94k
            cur += (size_t)step, i++) {
3644
6.94k
        PyObject *v = src[cur];
3645
6.94k
        dest[i] = Py_NewRef(v);
3646
6.94k
    }
3647
518
    Py_SET_SIZE(np, len);
3648
518
    return (PyObject *)np;
3649
518
}
3650
3651
static PyObject *
3652
list_slice_wrap(PyListObject *aa, Py_ssize_t start, Py_ssize_t stop, Py_ssize_t step)
3653
3.43M
{
3654
3.43M
    PyObject *res = NULL;
3655
3.43M
    Py_BEGIN_CRITICAL_SECTION(aa);
3656
3.43M
    Py_ssize_t len = PySlice_AdjustIndices(Py_SIZE(aa), &start, &stop, step);
3657
3.43M
    if (len <= 0) {
3658
421k
        res = PyList_New(0);
3659
421k
    }
3660
3.01M
    else if (step == 1) {
3661
3.01M
        res = list_slice_lock_held(aa, start, stop);
3662
3.01M
    }
3663
518
    else {
3664
518
        res = list_slice_step_lock_held(aa, start, step, len);
3665
518
    }
3666
3.43M
    Py_END_CRITICAL_SECTION();
3667
3.43M
    return res;
3668
3.43M
}
3669
3670
static inline PyObject*
3671
list_slice_subscript(PyObject* self, PyObject* item)
3672
3.43M
{
3673
3.43M
    assert(PyList_Check(self));
3674
3.43M
    assert(PySlice_Check(item));
3675
3.43M
    Py_ssize_t start, stop, step;
3676
3.43M
    if (PySlice_Unpack(item, &start, &stop, &step) < 0) {
3677
0
        return NULL;
3678
0
    }
3679
3.43M
    return list_slice_wrap((PyListObject *)self, start, stop, step);
3680
3.43M
}
3681
3682
PyObject *
3683
_PyList_SliceSubscript(PyObject* _self, PyObject* item)
3684
3.43M
{
3685
3.43M
    return list_slice_subscript(_self, item);
3686
3.43M
}
3687
3688
static PyObject *
3689
list_subscript(PyObject* _self, PyObject* item)
3690
28.3M
{
3691
28.3M
    PyListObject* self = (PyListObject*)_self;
3692
28.3M
    if (_PyIndex_Check(item)) {
3693
28.3M
        Py_ssize_t i;
3694
28.3M
        i = PyNumber_AsSsize_t(item, PyExc_IndexError);
3695
28.3M
        if (i == -1 && PyErr_Occurred())
3696
28
            return NULL;
3697
28.3M
        if (i < 0)
3698
22.0M
            i += PyList_GET_SIZE(self);
3699
28.3M
        return list_item((PyObject *)self, i);
3700
28.3M
    }
3701
265
    else if (PySlice_Check(item)) {
3702
265
        return list_slice_subscript(_self, item);
3703
265
    }
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
28.3M
}
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
2.70M
{
3717
2.70M
    Py_ssize_t slicelength = PySlice_AdjustIndices(Py_SIZE(lst), start, stop,
3718
2.70M
                                                   step);
3719
3720
    /* Make sure s[5:2] = [..] inserts at the right place:
3721
        before 5, not before 2. */
3722
2.70M
    if ((step < 0 && *start < *stop) ||
3723
2.70M
        (step > 0 && *start > *stop))
3724
0
        *stop = *start;
3725
3726
2.70M
    return slicelength;
3727
2.70M
}
3728
3729
static int
3730
list_ass_subscript_lock_held(PyObject *_self, PyObject *item, PyObject *value)
3731
7.01M
{
3732
7.01M
    _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED(_self);
3733
3734
7.01M
    PyListObject *self = (PyListObject *)_self;
3735
7.01M
    if (_PyIndex_Check(item)) {
3736
4.30M
        Py_ssize_t i = PyNumber_AsSsize_t(item, PyExc_IndexError);
3737
4.30M
        if (i == -1 && PyErr_Occurred())
3738
0
            return -1;
3739
4.30M
        if (i < 0)
3740
4.29M
            i += PyList_GET_SIZE(self);
3741
4.30M
        return list_ass_item_lock_held(self, i, value);
3742
4.30M
    }
3743
2.70M
    else if (PySlice_Check(item)) {
3744
2.70M
        Py_ssize_t start, stop, step;
3745
3746
2.70M
        if (PySlice_Unpack(item, &start, &stop, &step) < 0) {
3747
0
            return -1;
3748
0
        }
3749
3750
2.70M
        if (value == NULL) {
3751
            /* delete slice */
3752
130
            PyObject **garbage;
3753
130
            size_t cur;
3754
130
            Py_ssize_t i;
3755
130
            int res;
3756
3757
130
            Py_ssize_t slicelength = adjust_slice_indexes(self, &start, &stop,
3758
130
                                                          step);
3759
3760
130
            if (step == 1)
3761
130
                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
                ptr_wise_atomic_memmove(self, self->ob_item + cur - i,
3797
0
                    self->ob_item + cur + 1, lim);
3798
0
            }
3799
0
            cur = start + (size_t)slicelength * step;
3800
0
            if (cur < (size_t)Py_SIZE(self)) {
3801
0
                ptr_wise_atomic_memmove(self, self->ob_item + cur - slicelength,
3802
0
                    self->ob_item + cur, Py_SIZE(self) - cur);
3803
0
            }
3804
3805
0
            Py_SET_SIZE(self, Py_SIZE(self) - slicelength);
3806
0
            res = list_resize(self, Py_SIZE(self));
3807
3808
0
            for (i = 0; i < slicelength; i++) {
3809
0
                Py_DECREF(garbage[i]);
3810
0
            }
3811
0
            PyMem_Free(garbage);
3812
3813
0
            return res;
3814
0
        }
3815
2.70M
        else {
3816
            /* assign slice */
3817
2.70M
            PyObject *ins, *seq;
3818
2.70M
            PyObject **garbage, **seqitems, **selfitems;
3819
2.70M
            Py_ssize_t i;
3820
2.70M
            size_t cur;
3821
3822
            /* protect against a[::-1] = a */
3823
2.70M
            if (self == (PyListObject*)value) {
3824
0
                seq = list_slice_lock_held((PyListObject *)value, 0,
3825
0
                                            Py_SIZE(value));
3826
0
            }
3827
2.70M
            else {
3828
2.70M
                seq = PySequence_Fast(value,
3829
2.70M
                                      "must assign iterable "
3830
2.70M
                                      "to extended slice");
3831
2.70M
            }
3832
2.70M
            if (!seq)
3833
0
                return -1;
3834
3835
2.70M
            Py_ssize_t slicelength = adjust_slice_indexes(self, &start, &stop,
3836
2.70M
                                                          step);
3837
3838
2.70M
            if (step == 1) {
3839
2.70M
                int res = list_ass_slice_lock_held(self, start, stop, seq);
3840
2.70M
                Py_DECREF(seq);
3841
2.70M
                return res;
3842
2.70M
            }
3843
3844
0
            if (PySequence_Fast_GET_SIZE(seq) != slicelength) {
3845
0
                PyErr_Format(PyExc_ValueError,
3846
0
                    "attempt to assign sequence of "
3847
0
                    "size %zd to extended slice of "
3848
0
                    "size %zd",
3849
0
                         PySequence_Fast_GET_SIZE(seq),
3850
0
                         slicelength);
3851
0
                Py_DECREF(seq);
3852
0
                return -1;
3853
0
            }
3854
3855
0
            if (!slicelength) {
3856
0
                Py_DECREF(seq);
3857
0
                return 0;
3858
0
            }
3859
3860
0
            garbage = (PyObject**)
3861
0
                PyMem_Malloc(slicelength*sizeof(PyObject*));
3862
0
            if (!garbage) {
3863
0
                Py_DECREF(seq);
3864
0
                PyErr_NoMemory();
3865
0
                return -1;
3866
0
            }
3867
3868
0
            selfitems = self->ob_item;
3869
0
            seqitems = PySequence_Fast_ITEMS(seq);
3870
0
            for (cur = start, i = 0; i < slicelength;
3871
0
                 cur += (size_t)step, i++) {
3872
0
                garbage[i] = selfitems[cur];
3873
0
                ins = Py_NewRef(seqitems[i]);
3874
0
                FT_ATOMIC_STORE_PTR_RELEASE(selfitems[cur], ins);
3875
0
            }
3876
3877
0
            for (i = 0; i < slicelength; i++) {
3878
0
                Py_DECREF(garbage[i]);
3879
0
            }
3880
3881
0
            PyMem_Free(garbage);
3882
0
            Py_DECREF(seq);
3883
3884
0
            return 0;
3885
0
        }
3886
2.70M
    }
3887
0
    else {
3888
0
        PyErr_Format(PyExc_TypeError,
3889
0
                     "list indices must be integers or slices, not %.200s",
3890
0
                     Py_TYPE(item)->tp_name);
3891
0
        return -1;
3892
0
    }
3893
7.01M
}
3894
3895
static int
3896
list_ass_subscript(PyObject *self, PyObject *item, PyObject *value)
3897
7.01M
{
3898
7.01M
    int res;
3899
#ifdef Py_GIL_DISABLED
3900
    if (PySlice_Check(item) && value != NULL && PyList_CheckExact(value)) {
3901
        Py_BEGIN_CRITICAL_SECTION2(self, value);
3902
        res = list_ass_subscript_lock_held(self, item, value);
3903
        Py_END_CRITICAL_SECTION2();
3904
        return res;
3905
    }
3906
#endif
3907
7.01M
    Py_BEGIN_CRITICAL_SECTION(self);
3908
7.01M
    res = list_ass_subscript_lock_held(self, item, value);
3909
7.01M
    Py_END_CRITICAL_SECTION();
3910
7.01M
    return res;
3911
7.01M
}
3912
3913
static _PyObjectIndexPair
3914
list_iteritem(PyObject *obj, Py_ssize_t index)
3915
2.53M
{
3916
2.53M
    PyObject *result = list_get_item_ref((PyListObject *)obj, index);
3917
2.53M
    return (_PyObjectIndexPair) { .object = result, .index = index + 1 };
3918
2.53M
}
3919
3920
static PyMappingMethods list_as_mapping = {
3921
    list_length,
3922
    list_subscript,
3923
    list_ass_subscript
3924
};
3925
3926
PyTypeObject PyList_Type = {
3927
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
3928
    "list",
3929
    sizeof(PyListObject),
3930
    0,
3931
    list_dealloc,                               /* tp_dealloc */
3932
    0,                                          /* tp_vectorcall_offset */
3933
    0,                                          /* tp_getattr */
3934
    0,                                          /* tp_setattr */
3935
    0,                                          /* tp_as_async */
3936
    list_repr,                                  /* tp_repr */
3937
    0,                                          /* tp_as_number */
3938
    &list_as_sequence,                          /* tp_as_sequence */
3939
    &list_as_mapping,                           /* tp_as_mapping */
3940
    PyObject_HashNotImplemented,                /* tp_hash */
3941
    0,                                          /* tp_call */
3942
    0,                                          /* tp_str */
3943
    PyObject_GenericGetAttr,                    /* tp_getattro */
3944
    0,                                          /* tp_setattro */
3945
    0,                                          /* tp_as_buffer */
3946
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC |
3947
        Py_TPFLAGS_BASETYPE | Py_TPFLAGS_LIST_SUBCLASS |
3948
        _Py_TPFLAGS_MATCH_SELF | Py_TPFLAGS_SEQUENCE,  /* tp_flags */
3949
    list___init____doc__,                       /* tp_doc */
3950
    list_traverse,                              /* tp_traverse */
3951
    list_clear_slot,                            /* tp_clear */
3952
    list_richcompare,                           /* tp_richcompare */
3953
    0,                                          /* tp_weaklistoffset */
3954
    list_iter,                                  /* tp_iter */
3955
    0,                                          /* tp_iternext */
3956
    list_methods,                               /* tp_methods */
3957
    0,                                          /* tp_members */
3958
    0,                                          /* tp_getset */
3959
    0,                                          /* tp_base */
3960
    0,                                          /* tp_dict */
3961
    0,                                          /* tp_descr_get */
3962
    0,                                          /* tp_descr_set */
3963
    0,                                          /* tp_dictoffset */
3964
    list___init__,                              /* tp_init */
3965
    PyType_GenericAlloc,                        /* tp_alloc */
3966
    PyType_GenericNew,                          /* tp_new */
3967
    PyObject_GC_Del,                            /* tp_free */
3968
    .tp_vectorcall = list_vectorcall,
3969
    .tp_version_tag = _Py_TYPE_VERSION_LIST,
3970
    ._tp_iteritem = list_iteritem,
3971
};
3972
3973
/*********************** List Iterator **************************/
3974
3975
static void listiter_dealloc(PyObject *);
3976
static int listiter_traverse(PyObject *, visitproc, void *);
3977
static PyObject *listiter_next(PyObject *);
3978
static PyObject *listiter_len(PyObject *, PyObject *);
3979
static PyObject *listiter_reduce_general(void *_it, int forward);
3980
static PyObject *listiter_reduce(PyObject *, PyObject *);
3981
static PyObject *listiter_setstate(PyObject *, PyObject *state);
3982
3983
PyDoc_STRVAR(length_hint_doc, "Private method returning an estimate of len(list(it)).");
3984
PyDoc_STRVAR(reduce_doc, "Return state information for pickling.");
3985
PyDoc_STRVAR(setstate_doc, "Set state information for unpickling.");
3986
3987
static PyMethodDef listiter_methods[] = {
3988
    {"__length_hint__", listiter_len, METH_NOARGS, length_hint_doc},
3989
    {"__reduce__", listiter_reduce, METH_NOARGS, reduce_doc},
3990
    {"__setstate__", listiter_setstate, METH_O, setstate_doc},
3991
    {NULL,              NULL}           /* sentinel */
3992
};
3993
3994
PyTypeObject PyListIter_Type = {
3995
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
3996
    "list_iterator",                            /* tp_name */
3997
    sizeof(_PyListIterObject),                  /* tp_basicsize */
3998
    0,                                          /* tp_itemsize */
3999
    /* methods */
4000
    listiter_dealloc,               /* tp_dealloc */
4001
    0,                                          /* tp_vectorcall_offset */
4002
    0,                                          /* tp_getattr */
4003
    0,                                          /* tp_setattr */
4004
    0,                                          /* tp_as_async */
4005
    0,                                          /* tp_repr */
4006
    0,                                          /* tp_as_number */
4007
    0,                                          /* tp_as_sequence */
4008
    0,                                          /* tp_as_mapping */
4009
    0,                                          /* tp_hash */
4010
    0,                                          /* tp_call */
4011
    0,                                          /* tp_str */
4012
    PyObject_GenericGetAttr,                    /* tp_getattro */
4013
    0,                                          /* tp_setattro */
4014
    0,                                          /* tp_as_buffer */
4015
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,/* tp_flags */
4016
    0,                                          /* tp_doc */
4017
    listiter_traverse,                          /* tp_traverse */
4018
    0,                                          /* tp_clear */
4019
    0,                                          /* tp_richcompare */
4020
    0,                                          /* tp_weaklistoffset */
4021
    PyObject_SelfIter,                          /* tp_iter */
4022
    listiter_next,                              /* tp_iternext */
4023
    listiter_methods,                           /* tp_methods */
4024
    0,                                          /* tp_members */
4025
};
4026
4027
4028
static PyObject *
4029
list_iter(PyObject *seq)
4030
33.2M
{
4031
33.2M
    if (!PyList_Check(seq)) {
4032
0
        PyErr_BadInternalCall();
4033
0
        return NULL;
4034
0
    }
4035
33.2M
    _PyListIterObject *it = _Py_FREELIST_POP(_PyListIterObject, list_iters);
4036
33.2M
    if (it == NULL) {
4037
2.10M
        it = PyObject_GC_New(_PyListIterObject, &PyListIter_Type);
4038
2.10M
        if (it == NULL) {
4039
0
            return NULL;
4040
0
        }
4041
2.10M
    }
4042
33.2M
    it->it_index = 0;
4043
33.2M
    it->it_seq = (PyListObject *)Py_NewRef(seq);
4044
33.2M
    _PyObject_GC_TRACK(it);
4045
33.2M
    return (PyObject *)it;
4046
33.2M
}
4047
4048
static void
4049
listiter_dealloc(PyObject *self)
4050
33.2M
{
4051
33.2M
    _PyListIterObject *it = (_PyListIterObject *)self;
4052
33.2M
    _PyObject_GC_UNTRACK(it);
4053
33.2M
    Py_XDECREF(it->it_seq);
4054
33.2M
    assert(Py_IS_TYPE(self, &PyListIter_Type));
4055
33.2M
    _Py_FREELIST_FREE(list_iters, it, PyObject_GC_Del);
4056
33.2M
}
4057
4058
static int
4059
listiter_traverse(PyObject *it, visitproc visit, void *arg)
4060
623k
{
4061
623k
    Py_VISIT(((_PyListIterObject *)it)->it_seq);
4062
623k
    return 0;
4063
623k
}
4064
4065
static PyObject *
4066
listiter_next(PyObject *self)
4067
175M
{
4068
175M
    _PyListIterObject *it = (_PyListIterObject *)self;
4069
175M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4070
175M
    if (index < 0) {
4071
187
        return NULL;
4072
187
    }
4073
4074
175M
    PyObject *item = list_get_item_ref(it->it_seq, index);
4075
175M
    if (item == NULL) {
4076
        // out-of-bounds
4077
32.7M
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, -1);
4078
32.7M
#ifndef Py_GIL_DISABLED
4079
32.7M
        PyListObject *seq = it->it_seq;
4080
32.7M
        it->it_seq = NULL;
4081
32.7M
        Py_DECREF(seq);
4082
32.7M
#endif
4083
32.7M
        return NULL;
4084
32.7M
    }
4085
142M
    FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index + 1);
4086
142M
    return item;
4087
175M
}
4088
4089
static PyObject *
4090
listiter_len(PyObject *self, PyObject *Py_UNUSED(ignored))
4091
1.39M
{
4092
1.39M
    assert(self != NULL);
4093
1.39M
    _PyListIterObject *it = (_PyListIterObject *)self;
4094
1.39M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4095
1.39M
    if (index >= 0) {
4096
1.39M
        Py_ssize_t len = PyList_GET_SIZE(it->it_seq) - index;
4097
1.39M
        if (len >= 0)
4098
1.39M
            return PyLong_FromSsize_t(len);
4099
1.39M
    }
4100
0
    return PyLong_FromLong(0);
4101
1.39M
}
4102
4103
static PyObject *
4104
listiter_reduce(PyObject *it, PyObject *Py_UNUSED(ignored))
4105
0
{
4106
0
    return listiter_reduce_general(it, 1);
4107
0
}
4108
4109
static PyObject *
4110
listiter_setstate(PyObject *self, PyObject *state)
4111
0
{
4112
0
    _PyListIterObject *it = (_PyListIterObject *)self;
4113
0
    Py_ssize_t index = PyLong_AsSsize_t(state);
4114
0
    if (index == -1 && PyErr_Occurred())
4115
0
        return NULL;
4116
0
    if (it->it_seq != NULL) {
4117
0
        if (index < -1)
4118
0
            index = -1;
4119
0
        else if (index > PyList_GET_SIZE(it->it_seq))
4120
0
            index = PyList_GET_SIZE(it->it_seq); /* iterator exhausted */
4121
0
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index);
4122
0
    }
4123
0
    Py_RETURN_NONE;
4124
0
}
4125
4126
/*********************** List Reverse Iterator **************************/
4127
4128
typedef struct {
4129
    PyObject_HEAD
4130
    Py_ssize_t it_index;
4131
    PyListObject *it_seq; /* Set to NULL when iterator is exhausted */
4132
} listreviterobject;
4133
4134
static void listreviter_dealloc(PyObject *);
4135
static int listreviter_traverse(PyObject *, visitproc, void *);
4136
static PyObject *listreviter_next(PyObject *);
4137
static PyObject *listreviter_len(PyObject *, PyObject *);
4138
static PyObject *listreviter_reduce(PyObject *, PyObject *);
4139
static PyObject *listreviter_setstate(PyObject *, PyObject *);
4140
4141
static PyMethodDef listreviter_methods[] = {
4142
    {"__length_hint__", listreviter_len, METH_NOARGS, length_hint_doc},
4143
    {"__reduce__", listreviter_reduce, METH_NOARGS, reduce_doc},
4144
    {"__setstate__", listreviter_setstate, METH_O, setstate_doc},
4145
    {NULL,              NULL}           /* sentinel */
4146
};
4147
4148
PyTypeObject PyListRevIter_Type = {
4149
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
4150
    "list_reverseiterator",                     /* tp_name */
4151
    sizeof(listreviterobject),                  /* tp_basicsize */
4152
    0,                                          /* tp_itemsize */
4153
    /* methods */
4154
    listreviter_dealloc,                        /* tp_dealloc */
4155
    0,                                          /* tp_vectorcall_offset */
4156
    0,                                          /* tp_getattr */
4157
    0,                                          /* tp_setattr */
4158
    0,                                          /* tp_as_async */
4159
    0,                                          /* tp_repr */
4160
    0,                                          /* tp_as_number */
4161
    0,                                          /* tp_as_sequence */
4162
    0,                                          /* tp_as_mapping */
4163
    0,                                          /* tp_hash */
4164
    0,                                          /* tp_call */
4165
    0,                                          /* tp_str */
4166
    PyObject_GenericGetAttr,                    /* tp_getattro */
4167
    0,                                          /* tp_setattro */
4168
    0,                                          /* tp_as_buffer */
4169
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,/* tp_flags */
4170
    0,                                          /* tp_doc */
4171
    listreviter_traverse,                       /* tp_traverse */
4172
    0,                                          /* tp_clear */
4173
    0,                                          /* tp_richcompare */
4174
    0,                                          /* tp_weaklistoffset */
4175
    PyObject_SelfIter,                          /* tp_iter */
4176
    listreviter_next,                           /* tp_iternext */
4177
    listreviter_methods,                /* tp_methods */
4178
    0,
4179
};
4180
4181
/*[clinic input]
4182
list.__reversed__
4183
4184
Return a reverse iterator over the list.
4185
[clinic start generated code]*/
4186
4187
static PyObject *
4188
list___reversed___impl(PyListObject *self)
4189
/*[clinic end generated code: output=b166f073208c888c input=eadb6e17f8a6a280]*/
4190
43.1M
{
4191
43.1M
    listreviterobject *it;
4192
4193
43.1M
    it = PyObject_GC_New(listreviterobject, &PyListRevIter_Type);
4194
43.1M
    if (it == NULL)
4195
0
        return NULL;
4196
43.1M
    assert(PyList_Check(self));
4197
43.1M
    it->it_index = PyList_GET_SIZE(self) - 1;
4198
43.1M
    it->it_seq = (PyListObject*)Py_NewRef(self);
4199
43.1M
    PyObject_GC_Track(it);
4200
43.1M
    return (PyObject *)it;
4201
43.1M
}
4202
4203
static void
4204
listreviter_dealloc(PyObject *self)
4205
43.1M
{
4206
43.1M
    listreviterobject *it = (listreviterobject *)self;
4207
43.1M
    PyObject_GC_UnTrack(it);
4208
43.1M
    Py_XDECREF(it->it_seq);
4209
43.1M
    PyObject_GC_Del(it);
4210
43.1M
}
4211
4212
static int
4213
listreviter_traverse(PyObject *it, visitproc visit, void *arg)
4214
12.4k
{
4215
12.4k
    Py_VISIT(((listreviterobject *)it)->it_seq);
4216
12.4k
    return 0;
4217
12.4k
}
4218
4219
static PyObject *
4220
listreviter_next(PyObject *self)
4221
53.6M
{
4222
53.6M
    listreviterobject *it = (listreviterobject *)self;
4223
53.6M
    assert(it != NULL);
4224
53.6M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4225
53.6M
    if (index < 0) {
4226
28.1M
        return NULL;
4227
28.1M
    }
4228
4229
25.5M
    PyListObject *seq = it->it_seq;
4230
25.5M
    assert(PyList_Check(seq));
4231
25.5M
    PyObject *item = list_get_item_ref(seq, index);
4232
25.5M
    if (item != NULL) {
4233
25.5M
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index - 1);
4234
25.5M
        return item;
4235
25.5M
    }
4236
0
    FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, -1);
4237
0
#ifndef Py_GIL_DISABLED
4238
0
    it->it_seq = NULL;
4239
0
    Py_DECREF(seq);
4240
0
#endif
4241
0
    return NULL;
4242
25.5M
}
4243
4244
static PyObject *
4245
listreviter_len(PyObject *self, PyObject *Py_UNUSED(ignored))
4246
0
{
4247
0
    listreviterobject *it = (listreviterobject *)self;
4248
0
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4249
0
    Py_ssize_t len = index + 1;
4250
0
    if (it->it_seq == NULL || PyList_GET_SIZE(it->it_seq) < len)
4251
0
        len = 0;
4252
0
    return PyLong_FromSsize_t(len);
4253
0
}
4254
4255
static PyObject *
4256
listreviter_reduce(PyObject *it, PyObject *Py_UNUSED(ignored))
4257
0
{
4258
0
    return listiter_reduce_general(it, 0);
4259
0
}
4260
4261
static PyObject *
4262
listreviter_setstate(PyObject *self, PyObject *state)
4263
0
{
4264
0
    listreviterobject *it = (listreviterobject *)self;
4265
0
    Py_ssize_t index = PyLong_AsSsize_t(state);
4266
0
    if (index == -1 && PyErr_Occurred())
4267
0
        return NULL;
4268
0
    if (it->it_seq != NULL) {
4269
0
        if (index < -1)
4270
0
            index = -1;
4271
0
        else if (index > PyList_GET_SIZE(it->it_seq) - 1)
4272
0
            index = PyList_GET_SIZE(it->it_seq) - 1;
4273
0
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index);
4274
0
    }
4275
0
    Py_RETURN_NONE;
4276
0
}
4277
4278
/* common pickling support */
4279
4280
static PyObject *
4281
listiter_reduce_general(void *_it, int forward)
4282
0
{
4283
0
    PyObject *list;
4284
0
    PyObject *iter;
4285
4286
    /* _PyEval_GetBuiltin can invoke arbitrary code,
4287
     * call must be before access of iterator pointers.
4288
     * see issue #101765 */
4289
4290
0
    if (forward) {
4291
0
        iter = _PyEval_GetBuiltin(&_Py_ID(iter));
4292
0
        _PyListIterObject *it = (_PyListIterObject *)_it;
4293
0
        Py_ssize_t idx = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4294
0
        if (idx >= 0) {
4295
0
            return Py_BuildValue("N(O)n", iter, it->it_seq, idx);
4296
0
        }
4297
0
    } else {
4298
0
        iter = _PyEval_GetBuiltin(&_Py_ID(reversed));
4299
0
        listreviterobject *it = (listreviterobject *)_it;
4300
0
        Py_ssize_t idx = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4301
0
        if (idx >= 0) {
4302
0
            return Py_BuildValue("N(O)n", iter, it->it_seq, idx);
4303
0
        }
4304
0
    }
4305
    /* empty iterator, create an empty list */
4306
0
    list = PyList_New(0);
4307
0
    if (list == NULL) {
4308
0
        Py_DECREF(iter);
4309
0
        return NULL;
4310
0
    }
4311
0
    return Py_BuildValue("N(N)", iter, list);
4312
0
}