Coverage Report

Created: 2026-06-21 06:15

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
125M
{
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
125M
    PyMem_Free(items);
72
125M
#endif
73
125M
}
74
75
static void
76
ensure_shared_on_resize(PyListObject *self)
77
93.3M
{
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
93.3M
}
93
94
/* Ensure ob_item has room for at least newsize elements, and set
95
 * ob_size to newsize.  If newsize > ob_size on entry, the content
96
 * of the new slots at exit is undefined heap trash; it's the caller's
97
 * responsibility to overwrite them with sane values.
98
 * The number of allocated elements may grow, shrink, or stay the same.
99
 * Failure is impossible if newsize <= self.allocated on entry.
100
 * Note that self->ob_item may change, and even if newsize is less
101
 * than ob_size on entry.
102
 */
103
static int
104
list_resize(PyListObject *self, Py_ssize_t newsize)
105
103M
{
106
103M
    size_t new_allocated, target_bytes;
107
103M
    Py_ssize_t allocated = self->allocated;
108
109
    /* Bypass realloc() when a previous overallocation is large enough
110
       to accommodate the newsize.  If the newsize falls lower than half
111
       the allocated size, then proceed with the realloc() to shrink the list.
112
    */
113
103M
    if (allocated >= newsize && newsize >= (allocated >> 1)) {
114
10.2M
        assert(self->ob_item != NULL || newsize == 0);
115
10.2M
        Py_SET_SIZE(self, newsize);
116
10.2M
        return 0;
117
10.2M
    }
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
93.3M
    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
93.3M
    if (newsize - Py_SIZE(self) > (Py_ssize_t)(new_allocated - newsize))
134
298k
        new_allocated = ((size_t)newsize + 3) & ~(size_t)3;
135
136
93.3M
    if (newsize == 0)
137
30.4k
        new_allocated = 0;
138
139
93.3M
    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
93.3M
    PyObject **items;
173
93.3M
    if (new_allocated <= (size_t)PY_SSIZE_T_MAX / sizeof(PyObject *)) {
174
93.3M
        target_bytes = new_allocated * sizeof(PyObject *);
175
93.3M
        items = (PyObject **)PyMem_Realloc(self->ob_item, target_bytes);
176
93.3M
    }
177
0
    else {
178
        // integer overflow
179
0
        items = NULL;
180
0
    }
181
93.3M
    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
93.3M
    self->ob_item = items;
191
93.3M
    Py_SET_SIZE(self, newsize);
192
93.3M
    self->allocated = new_allocated;
193
93.3M
#endif
194
93.3M
    return 0;
195
93.3M
}
196
197
static int
198
list_preallocate_exact(PyListObject *self, Py_ssize_t size)
199
7.91M
{
200
7.91M
    PyObject **items;
201
7.91M
    assert(self->ob_item == NULL);
202
7.91M
    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
7.91M
    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
7.91M
    items = PyMem_New(PyObject*, size);
220
7.91M
    if (items == NULL) {
221
0
        PyErr_NoMemory();
222
0
        return -1;
223
0
    }
224
7.91M
#endif
225
7.91M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, items);
226
7.91M
    self->allocated = size;
227
7.91M
    return 0;
228
7.91M
}
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
206M
{
243
206M
    if (size < 0) {
244
0
        PyErr_BadInternalCall();
245
0
        return NULL;
246
0
    }
247
248
206M
    PyListObject *op = _Py_FREELIST_POP(PyListObject, lists);
249
206M
    if (op == NULL) {
250
41.7M
        op = PyObject_GC_New(PyListObject, &PyList_Type);
251
41.7M
        if (op == NULL) {
252
0
            return NULL;
253
0
        }
254
41.7M
    }
255
206M
    if (size <= 0) {
256
166M
        op->ob_item = NULL;
257
166M
    }
258
40.1M
    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
40.1M
        op->ob_item = (PyObject **) PyMem_Calloc(size, sizeof(PyObject *));
269
40.1M
#endif
270
40.1M
        if (op->ob_item == NULL) {
271
0
            Py_DECREF(op);
272
0
            return PyErr_NoMemory();
273
0
        }
274
40.1M
    }
275
206M
    Py_SET_SIZE(op, size);
276
206M
    op->allocated = size;
277
206M
    _PyObject_GC_TRACK(op);
278
206M
    return (PyObject *) op;
279
206M
}
280
281
static PyObject *
282
list_new_prealloc(Py_ssize_t size)
283
14.9M
{
284
14.9M
    assert(size > 0);
285
14.9M
    PyListObject *op = (PyListObject *) PyList_New(0);
286
14.9M
    if (op == NULL) {
287
0
        return NULL;
288
0
    }
289
14.9M
    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
14.9M
    op->ob_item = PyMem_New(PyObject *, size);
299
14.9M
    if (op->ob_item == NULL) {
300
0
        Py_DECREF(op);
301
0
        return PyErr_NoMemory();
302
0
    }
303
14.9M
#endif
304
14.9M
    op->allocated = size;
305
14.9M
    return (PyObject *) op;
306
14.9M
}
307
308
Py_ssize_t
309
PyList_Size(PyObject *op)
310
72.5k
{
311
72.5k
    if (!PyList_Check(op)) {
312
0
        PyErr_BadInternalCall();
313
0
        return -1;
314
0
    }
315
72.5k
    else {
316
72.5k
        return PyList_GET_SIZE(op);
317
72.5k
    }
318
72.5k
}
319
320
static inline int
321
valid_index(Py_ssize_t i, Py_ssize_t limit)
322
234M
{
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
234M
    return (size_t) i < (size_t) limit;
331
234M
}
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
164M
{
383
164M
    if (!valid_index(i, Py_SIZE(op))) {
384
28.5M
        return NULL;
385
28.5M
    }
386
135M
    return Py_NewRef(PyList_GET_ITEM(op, i));
387
164M
}
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
68.4k
{
408
68.4k
    if (!PyList_Check(op)) {
409
0
        PyErr_SetString(PyExc_TypeError, "expected a list");
410
0
        return NULL;
411
0
    }
412
68.4k
    PyObject *item = list_get_item_ref((PyListObject *)op, i);
413
68.4k
    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
68.4k
    return item;
419
68.4k
}
420
421
PyObject *
422
_PyList_GetItemRef(PyListObject *list, Py_ssize_t i)
423
1.28M
{
424
1.28M
    return list_get_item_ref(list, i);
425
1.28M
}
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
15.4M
{
457
15.4M
    if (!PyList_Check(op)) {
458
0
        Py_XDECREF(newitem);
459
0
        PyErr_BadInternalCall();
460
0
        return -1;
461
0
    }
462
15.4M
    int ret;
463
15.4M
    PyListObject *self = ((PyListObject *)op);
464
15.4M
    Py_BEGIN_CRITICAL_SECTION(self);
465
15.4M
    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
15.4M
    PyObject *tmp = self->ob_item[i];
473
15.4M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[i], newitem);
474
15.4M
    Py_XDECREF(tmp);
475
15.4M
    ret = 0;
476
15.4M
end:;
477
15.4M
    Py_END_CRITICAL_SECTION();
478
15.4M
    return ret;
479
15.4M
}
480
481
static int
482
ins1(PyListObject *self, Py_ssize_t where, PyObject *v)
483
1.60k
{
484
1.60k
    Py_ssize_t i, n = Py_SIZE(self);
485
1.60k
    PyObject **items;
486
1.60k
    if (v == NULL) {
487
0
        PyErr_BadInternalCall();
488
0
        return -1;
489
0
    }
490
491
1.60k
    assert((size_t)n + 1 < PY_SSIZE_T_MAX);
492
1.60k
    if (list_resize(self, n+1) < 0)
493
0
        return -1;
494
495
1.60k
    if (where < 0) {
496
0
        where += n;
497
0
        if (where < 0)
498
0
            where = 0;
499
0
    }
500
1.60k
    if (where > n)
501
0
        where = n;
502
1.60k
    items = self->ob_item;
503
11.1k
    for (i = n; --i >= where; )
504
9.57k
        FT_ATOMIC_STORE_PTR_RELEASE(items[i+1], items[i]);
505
1.60k
    FT_ATOMIC_STORE_PTR_RELEASE(items[where], Py_NewRef(v));
506
1.60k
    return 0;
507
1.60k
}
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
68.4M
{
528
68.4M
    Py_ssize_t len = Py_SIZE(self);
529
68.4M
    assert(self->allocated == -1 || self->allocated == len);
530
68.4M
    if (list_resize(self, len + 1) < 0) {
531
0
        Py_DECREF(newitem);
532
0
        return -1;
533
0
    }
534
68.4M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[len], newitem);
535
68.4M
    return 0;
536
68.4M
}
537
538
int
539
PyList_Append(PyObject *op, PyObject *newitem)
540
111M
{
541
111M
    if (PyList_Check(op) && (newitem != NULL)) {
542
111M
        int ret;
543
111M
        Py_BEGIN_CRITICAL_SECTION(op);
544
111M
        ret = _PyList_AppendTakeRef((PyListObject *)op, Py_NewRef(newitem));
545
111M
        Py_END_CRITICAL_SECTION();
546
111M
        return ret;
547
111M
    }
548
0
    PyErr_BadInternalCall();
549
0
    return -1;
550
111M
}
551
552
/* Methods */
553
554
static void
555
list_dealloc(PyObject *self)
556
225M
{
557
225M
    PyListObject *op = (PyListObject *)self;
558
225M
    Py_ssize_t i;
559
225M
    PyObject_GC_UnTrack(op);
560
225M
    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
115M
        i = Py_SIZE(op);
566
1.60G
        while (--i >= 0) {
567
1.48G
            Py_XDECREF(op->ob_item[i]);
568
1.48G
        }
569
115M
        free_list_items(op->ob_item, false);
570
115M
        op->ob_item = NULL;
571
115M
    }
572
225M
    if (PyList_CheckExact(op)) {
573
215M
        _Py_FREELIST_FREE(lists, op, PyObject_GC_Del);
574
215M
    }
575
9.92M
    else {
576
9.92M
        PyObject_GC_Del(op);
577
9.92M
    }
578
225M
}
579
580
static PyObject *
581
list_repr_impl(PyListObject *v)
582
3.32M
{
583
3.32M
    int res = Py_ReprEnter((PyObject*)v);
584
3.32M
    if (res != 0) {
585
0
        return (res > 0 ? PyUnicode_FromString("[...]") : NULL);
586
0
    }
587
588
    /* "[" + "1" + ", 2" * (len - 1) + "]" */
589
3.32M
    Py_ssize_t prealloc = 1 + 1 + (2 + 1) * (Py_SIZE(v) - 1) + 1;
590
3.32M
    PyUnicodeWriter *writer = PyUnicodeWriter_Create(prealloc);
591
3.32M
    PyObject *item = NULL;
592
3.32M
    if (writer == NULL) {
593
0
        goto error;
594
0
    }
595
596
3.32M
    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
10.0M
    for (Py_ssize_t i = 0; i < Py_SIZE(v); ++i) {
603
        /* Hold a strong reference since repr(item) can mutate the list */
604
6.77M
        item = Py_XNewRef(v->ob_item[i]);
605
606
6.77M
        if (i > 0) {
607
3.45M
            if (PyUnicodeWriter_WriteChar(writer, ',') < 0) {
608
0
                goto error;
609
0
            }
610
3.45M
            if (PyUnicodeWriter_WriteChar(writer, ' ') < 0) {
611
0
                goto error;
612
0
            }
613
3.45M
        }
614
615
6.77M
        if (PyUnicodeWriter_WriteRepr(writer, item) < 0) {
616
0
            goto error;
617
0
        }
618
6.77M
        Py_CLEAR(item);
619
6.77M
    }
620
621
3.32M
    if (PyUnicodeWriter_WriteChar(writer, ']') < 0) {
622
0
        goto error;
623
0
    }
624
625
3.32M
    Py_ReprLeave((PyObject *)v);
626
3.32M
    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
3.32M
}
634
635
static PyObject *
636
list_repr(PyObject *self)
637
3.43M
{
638
3.43M
    if (PyList_GET_SIZE(self) == 0) {
639
117k
        return PyUnicode_FromString("[]");
640
117k
    }
641
3.32M
    PyListObject *v = (PyListObject *)self;
642
3.32M
    PyObject *ret = NULL;
643
3.32M
    Py_BEGIN_CRITICAL_SECTION(v);
644
3.32M
    ret = list_repr_impl(v);
645
3.32M
    Py_END_CRITICAL_SECTION();
646
3.32M
    return ret;
647
3.43M
}
648
649
static Py_ssize_t
650
list_length(PyObject *a)
651
45.8M
{
652
45.8M
    return PyList_GET_SIZE(a);
653
45.8M
}
654
655
static int
656
list_contains(PyObject *aa, PyObject *el)
657
7.70k
{
658
659
61.8k
    for (Py_ssize_t i = 0; ; i++) {
660
61.8k
        PyObject *item = list_get_item_ref((PyListObject *)aa, i);
661
61.8k
        if (item == NULL) {
662
            // out-of-bounds
663
6.00k
            return 0;
664
6.00k
        }
665
55.8k
        int cmp = PyObject_RichCompareBool(item, el, Py_EQ);
666
55.8k
        Py_DECREF(item);
667
55.8k
        if (cmp != 0) {
668
1.70k
            return cmp;
669
1.70k
        }
670
55.8k
    }
671
0
    return 0;
672
7.70k
}
673
674
static PyObject *
675
list_item(PyObject *aa, Py_ssize_t i)
676
28.0M
{
677
28.0M
    PyListObject *a = (PyListObject *)aa;
678
28.0M
    if (!valid_index(i, PyList_GET_SIZE(a))) {
679
2.38M
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
680
2.38M
        return NULL;
681
2.38M
    }
682
25.6M
    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
25.6M
    item = Py_NewRef(a->ob_item[i]);
691
25.6M
#endif
692
25.6M
    return item;
693
28.0M
}
694
695
static PyObject *
696
list_slice_lock_held(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh)
697
3.05M
{
698
3.05M
    PyListObject *np;
699
3.05M
    PyObject **src, **dest;
700
3.05M
    Py_ssize_t i, len;
701
3.05M
    len = ihigh - ilow;
702
3.05M
    if (len <= 0) {
703
1.83k
        return PyList_New(0);
704
1.83k
    }
705
3.05M
    np = (PyListObject *) list_new_prealloc(len);
706
3.05M
    if (np == NULL)
707
0
        return NULL;
708
709
3.05M
    src = a->ob_item + ilow;
710
3.05M
    dest = np->ob_item;
711
19.3M
    for (i = 0; i < len; i++) {
712
16.2M
        PyObject *v = src[i];
713
16.2M
        dest[i] = Py_NewRef(v);
714
16.2M
    }
715
3.05M
    Py_SET_SIZE(np, len);
716
3.05M
    return (PyObject *)np;
717
3.05M
}
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
18.3M
{
772
18.3M
    Py_ssize_t size;
773
18.3M
    Py_ssize_t i;
774
18.3M
    PyObject **src, **dest;
775
18.3M
    PyListObject *np;
776
18.3M
    assert((size_t)Py_SIZE(a) + (size_t)Py_SIZE(b) < PY_SSIZE_T_MAX);
777
18.3M
    size = Py_SIZE(a) + Py_SIZE(b);
778
18.3M
    if (size == 0) {
779
6.47M
        return PyList_New(0);
780
6.47M
    }
781
11.8M
    np = (PyListObject *) list_new_prealloc(size);
782
11.8M
    if (np == NULL) {
783
0
        return NULL;
784
0
    }
785
11.8M
    src = a->ob_item;
786
11.8M
    dest = np->ob_item;
787
407M
    for (i = 0; i < Py_SIZE(a); i++) {
788
395M
        PyObject *v = src[i];
789
395M
        dest[i] = Py_NewRef(v);
790
395M
    }
791
11.8M
    src = b->ob_item;
792
11.8M
    dest = np->ob_item + Py_SIZE(a);
793
243M
    for (i = 0; i < Py_SIZE(b); i++) {
794
231M
        PyObject *v = src[i];
795
231M
        dest[i] = Py_NewRef(v);
796
231M
    }
797
11.8M
    Py_SET_SIZE(np, size);
798
11.8M
    return (PyObject *)np;
799
11.8M
}
800
801
PyObject *
802
_PyList_Concat(PyObject *aa, PyObject *bb)
803
18.3M
{
804
18.3M
    if (!PyList_Check(bb)) {
805
0
        PyErr_Format(PyExc_TypeError,
806
0
                  "can only concatenate list (not \"%.200s\") to list",
807
0
                  Py_TYPE(bb)->tp_name);
808
0
        return NULL;
809
0
    }
810
18.3M
    PyListObject *a = (PyListObject *)aa;
811
18.3M
    PyListObject *b = (PyListObject *)bb;
812
18.3M
    PyObject *ret;
813
18.3M
    Py_BEGIN_CRITICAL_SECTION2(a, b);
814
18.3M
    ret = list_concat_lock_held(a, b);
815
18.3M
    Py_END_CRITICAL_SECTION2();
816
18.3M
    return ret;
817
18.3M
}
818
819
static PyObject *
820
list_repeat_lock_held(PyListObject *a, Py_ssize_t n)
821
23.2k
{
822
23.2k
    const Py_ssize_t input_size = Py_SIZE(a);
823
23.2k
    if (input_size == 0 || n <= 0)
824
1.91k
        return PyList_New(0);
825
23.2k
    assert(n > 0);
826
827
21.3k
    if (input_size > PY_SSIZE_T_MAX / n)
828
0
        return PyErr_NoMemory();
829
21.3k
    Py_ssize_t output_size = input_size * n;
830
831
21.3k
    PyListObject *np = (PyListObject *) list_new_prealloc(output_size);
832
21.3k
    if (np == NULL)
833
0
        return NULL;
834
835
21.3k
    PyObject **dest = np->ob_item;
836
21.3k
    if (input_size == 1) {
837
21.3k
        PyObject *elem = a->ob_item[0];
838
21.3k
        _Py_RefcntAdd(elem, n);
839
21.3k
        PyObject **dest_end = dest + output_size;
840
9.72M
        while (dest < dest_end) {
841
9.70M
            *dest++ = elem;
842
9.70M
        }
843
21.3k
    }
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
21.3k
    Py_SET_SIZE(np, output_size);
858
21.3k
    return (PyObject *) np;
859
21.3k
}
860
861
static PyObject *
862
list_repeat(PyObject *aa, Py_ssize_t n)
863
23.2k
{
864
23.2k
    PyObject *ret;
865
23.2k
    PyListObject *a = (PyListObject *)aa;
866
23.2k
    Py_BEGIN_CRITICAL_SECTION(a);
867
23.2k
    ret = list_repeat_lock_held(a, n);
868
23.2k
    Py_END_CRITICAL_SECTION();
869
23.2k
    return ret;
870
23.2k
}
871
872
static void
873
list_clear_impl(PyListObject *a, bool is_resize)
874
9.32M
{
875
9.32M
    PyObject **items = a->ob_item;
876
9.32M
    if (items == NULL) {
877
64
        return;
878
64
    }
879
880
    /* Because XDECREF can recursively invoke operations on
881
       this list, we make it empty first. */
882
9.32M
    Py_ssize_t i = Py_SIZE(a);
883
9.32M
    Py_SET_SIZE(a, 0);
884
9.32M
    FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item, NULL);
885
9.32M
    a->allocated = 0;
886
18.7M
    while (--i >= 0) {
887
9.42M
        Py_XDECREF(items[i]);
888
9.42M
    }
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
9.32M
    bool use_qsbr = false;
896
9.32M
#endif
897
9.32M
    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
9.32M
}
901
902
static void
903
list_clear(PyListObject *a)
904
9.32M
{
905
9.32M
    list_clear_impl(a, true);
906
9.32M
}
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
6.37M
{
920
6.37M
#ifndef Py_GIL_DISABLED
921
6.37M
    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
6.37M
}
942
943
/* a[ilow:ihigh] = v if v != NULL.
944
 * del a[ilow:ihigh] if v == NULL.
945
 *
946
 * Special speed gimmick:  when v is NULL and ihigh - ilow <= 8, it's
947
 * guaranteed the call cannot fail.
948
 */
949
static int
950
list_ass_slice_lock_held(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
951
4.67M
{
952
    /* Because [X]DECREF can recursively invoke list operations on
953
       this list, we must postpone all [X]DECREF activity until
954
       after the list is back in its canonical shape.  Therefore
955
       we must allocate an additional array, 'recycle', into which
956
       we temporarily copy the items that are deleted from the
957
       list. :-( */
958
4.67M
    PyObject *recycle_on_stack[8];
959
4.67M
    PyObject **recycle = recycle_on_stack; /* will allocate more if needed */
960
4.67M
    PyObject **item;
961
4.67M
    PyObject **vitem = NULL;
962
4.67M
    PyObject *v_as_SF = NULL; /* PySequence_Fast(v) */
963
4.67M
    Py_ssize_t n; /* # of elements in replacement list */
964
4.67M
    Py_ssize_t norig; /* # of elements in list getting replaced */
965
4.67M
    Py_ssize_t d; /* Change in size */
966
4.67M
    Py_ssize_t k;
967
4.67M
    size_t s;
968
4.67M
    int result = -1;            /* guilty until proved innocent */
969
4.67M
#define b ((PyListObject *)v)
970
4.67M
    if (v == NULL)
971
3.43M
        n = 0;
972
1.24M
    else {
973
1.24M
        v_as_SF = PySequence_Fast(v, "can only assign an iterable");
974
1.24M
        if(v_as_SF == NULL)
975
0
            goto Error;
976
1.24M
        n = PySequence_Fast_GET_SIZE(v_as_SF);
977
1.24M
        vitem = PySequence_Fast_ITEMS(v_as_SF);
978
1.24M
    }
979
4.67M
    if (ilow < 0)
980
0
        ilow = 0;
981
4.67M
    else if (ilow > Py_SIZE(a))
982
974k
        ilow = Py_SIZE(a);
983
984
4.67M
    if (ihigh < ilow)
985
0
        ihigh = ilow;
986
4.67M
    else if (ihigh > Py_SIZE(a))
987
974k
        ihigh = Py_SIZE(a);
988
989
4.67M
    norig = ihigh - ilow;
990
4.67M
    assert(norig >= 0);
991
4.67M
    d = n - norig;
992
4.67M
    if (Py_SIZE(a) + d == 0) {
993
636k
        Py_XDECREF(v_as_SF);
994
636k
        list_clear(a);
995
636k
        return 0;
996
636k
    }
997
4.04M
    item = a->ob_item;
998
    /* recycle the items that we are about to remove */
999
4.04M
    s = norig * sizeof(PyObject *);
1000
    /* If norig == 0, item might be NULL, in which case we may not memcpy from it. */
1001
4.04M
    if (s) {
1002
2.82M
        if (s > sizeof(recycle_on_stack)) {
1003
74
            recycle = (PyObject **)PyMem_Malloc(s);
1004
74
            if (recycle == NULL) {
1005
0
                PyErr_NoMemory();
1006
0
                goto Error;
1007
0
            }
1008
74
        }
1009
2.82M
        memcpy(recycle, &item[ilow], s);
1010
2.82M
    }
1011
1012
4.04M
    if (d < 0) { /* Delete -d items */
1013
2.82M
        Py_ssize_t tail = Py_SIZE(a) - ihigh;
1014
2.82M
        ptr_wise_atomic_memmove(a, &item[ihigh+d], &item[ihigh], tail);
1015
2.82M
        (void)list_resize(a, Py_SIZE(a) + d); // NB: shrinking a list can't fail
1016
2.82M
        item = a->ob_item;
1017
2.82M
    }
1018
1.21M
    else if (d > 0) { /* Insert d items */
1019
1.21M
        k = Py_SIZE(a);
1020
1.21M
        if (list_resize(a, k+d) < 0)
1021
0
            goto Error;
1022
1.21M
        item = a->ob_item;
1023
1.21M
        ptr_wise_atomic_memmove(a, &item[ihigh+d], &item[ihigh], k - ihigh);
1024
1.21M
    }
1025
64.1M
    for (k = 0; k < n; k++, ilow++) {
1026
60.0M
        PyObject *w = vitem[k];
1027
60.0M
        FT_ATOMIC_STORE_PTR_RELEASE(item[ilow], Py_XNewRef(w));
1028
60.0M
    }
1029
6.87M
    for (k = norig - 1; k >= 0; --k)
1030
2.83M
        Py_XDECREF(recycle[k]);
1031
4.04M
    result = 0;
1032
4.04M
 Error:
1033
4.04M
    if (recycle != recycle_on_stack)
1034
74
        PyMem_Free(recycle);
1035
4.04M
    Py_XDECREF(v_as_SF);
1036
4.04M
    return result;
1037
4.04M
#undef b
1038
4.04M
}
1039
1040
static int
1041
list_ass_slice(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
1042
4.39M
{
1043
4.39M
    int ret;
1044
4.39M
    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
4.39M
    else if (v != NULL && PyList_CheckExact(v)) {
1058
320k
        Py_BEGIN_CRITICAL_SECTION2(a, v);
1059
320k
        ret = list_ass_slice_lock_held(a, ilow, ihigh, v);
1060
320k
        Py_END_CRITICAL_SECTION2();
1061
320k
    }
1062
4.07M
    else {
1063
4.07M
        Py_BEGIN_CRITICAL_SECTION(a);
1064
4.07M
        ret = list_ass_slice_lock_held(a, ilow, ihigh, v);
1065
4.07M
        Py_END_CRITICAL_SECTION();
1066
4.07M
    }
1067
4.39M
    return ret;
1068
4.39M
}
1069
1070
int
1071
PyList_SetSlice(PyObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
1072
4.39M
{
1073
4.39M
    if (!PyList_Check(a)) {
1074
0
        PyErr_BadInternalCall();
1075
0
        return -1;
1076
0
    }
1077
4.39M
    return list_ass_slice((PyListObject *)a, ilow, ihigh, v);
1078
4.39M
}
1079
1080
static int
1081
list_inplace_repeat_lock_held(PyListObject *self, Py_ssize_t n)
1082
0
{
1083
0
    Py_ssize_t input_size = PyList_GET_SIZE(self);
1084
0
    if (input_size == 0 || n == 1) {
1085
0
        return 0;
1086
0
    }
1087
1088
0
    if (n < 1) {
1089
0
        list_clear(self);
1090
0
        return 0;
1091
0
    }
1092
1093
0
    if (input_size > PY_SSIZE_T_MAX / n) {
1094
0
        PyErr_NoMemory();
1095
0
        return -1;
1096
0
    }
1097
0
    Py_ssize_t output_size = input_size * n;
1098
1099
0
    if (list_resize(self, output_size) < 0) {
1100
0
        return -1;
1101
0
    }
1102
1103
0
    PyObject **items = self->ob_item;
1104
0
    for (Py_ssize_t j = 0; j < input_size; j++) {
1105
0
        _Py_RefcntAdd(items[j], n-1);
1106
0
    }
1107
0
#ifndef Py_GIL_DISABLED
1108
0
    _Py_memory_repeat((char *)items, sizeof(PyObject *)*output_size,
1109
0
                      sizeof(PyObject *)*input_size);
1110
#else
1111
    Py_ssize_t copied = input_size;
1112
    while (copied < output_size) {
1113
        Py_ssize_t items_to_copy = Py_MIN(copied, output_size - copied);
1114
        ptr_wise_atomic_memmove(self, items + copied, items, items_to_copy);
1115
        copied += items_to_copy;
1116
    }
1117
#endif
1118
0
    return 0;
1119
0
}
1120
1121
static PyObject *
1122
list_inplace_repeat(PyObject *_self, Py_ssize_t n)
1123
0
{
1124
0
    PyObject *ret;
1125
0
    PyListObject *self = (PyListObject *) _self;
1126
0
    Py_BEGIN_CRITICAL_SECTION(self);
1127
0
    if (list_inplace_repeat_lock_held(self, n) < 0) {
1128
0
        ret = NULL;
1129
0
    }
1130
0
    else {
1131
0
        ret = Py_NewRef(self);
1132
0
    }
1133
0
    Py_END_CRITICAL_SECTION();
1134
0
    return ret;
1135
0
}
1136
1137
static int
1138
list_ass_item_lock_held(PyListObject *a, Py_ssize_t i, PyObject *v)
1139
4.26M
{
1140
4.26M
    if (!valid_index(i, Py_SIZE(a))) {
1141
0
        PyErr_SetString(PyExc_IndexError,
1142
0
                        "list assignment index out of range");
1143
0
        return -1;
1144
0
    }
1145
4.26M
    PyObject *tmp = a->ob_item[i];
1146
4.26M
    if (v == NULL) {
1147
9.92k
        Py_ssize_t size = Py_SIZE(a);
1148
359k
        for (Py_ssize_t idx = i; idx < size - 1; idx++) {
1149
349k
            FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item[idx], a->ob_item[idx + 1]);
1150
349k
        }
1151
9.92k
        Py_SET_SIZE(a, size - 1);
1152
9.92k
    }
1153
4.25M
    else {
1154
4.25M
        FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item[i], Py_NewRef(v));
1155
4.25M
    }
1156
4.26M
    Py_DECREF(tmp);
1157
4.26M
    return 0;
1158
4.26M
}
1159
1160
static int
1161
list_ass_item(PyObject *aa, Py_ssize_t i, PyObject *v)
1162
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
1.56k
{
1186
1.56k
    if (ins1(self, index, object) == 0) {
1187
1.56k
        Py_RETURN_NONE;
1188
1.56k
    }
1189
0
    return NULL;
1190
1.56k
}
1191
1192
/*[clinic input]
1193
@critical_section
1194
list.clear as py_list_clear
1195
1196
Remove all items from list.
1197
[clinic start generated code]*/
1198
1199
static PyObject *
1200
py_list_clear_impl(PyListObject *self)
1201
/*[clinic end generated code: output=83726743807e3518 input=e285b7f09051a9ba]*/
1202
7.48k
{
1203
7.48k
    list_clear(self);
1204
7.48k
    Py_RETURN_NONE;
1205
7.48k
}
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
120M
{
1235
120M
    if (_PyList_AppendTakeRef(self, Py_NewRef(object)) < 0) {
1236
0
        return NULL;
1237
0
    }
1238
120M
    Py_RETURN_NONE;
1239
120M
}
1240
1241
static int
1242
list_extend_fast(PyListObject *self, PyObject *iterable)
1243
17.1M
{
1244
17.1M
    Py_ssize_t n = PySequence_Fast_GET_SIZE(iterable);
1245
17.1M
    if (n == 0) {
1246
        /* short circuit when iterable is empty */
1247
8.44M
        return 0;
1248
8.44M
    }
1249
1250
8.75M
    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
8.75M
    assert(m < PY_SSIZE_T_MAX - n);
1254
8.75M
    if (self->ob_item == NULL) {
1255
1.34M
        if (list_preallocate_exact(self, n) < 0) {
1256
0
            return -1;
1257
0
        }
1258
1.34M
        Py_SET_SIZE(self, n);
1259
1.34M
    }
1260
7.40M
    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
8.75M
    PyObject **src = PySequence_Fast_ITEMS(iterable);
1271
8.75M
    PyObject **dest = self->ob_item + m;
1272
49.8M
    for (Py_ssize_t i = 0; i < n; i++) {
1273
41.1M
        PyObject *o = src[i];
1274
41.1M
        FT_ATOMIC_STORE_PTR_RELEASE(dest[i], Py_NewRef(o));
1275
41.1M
    }
1276
8.75M
    return 0;
1277
8.75M
}
1278
1279
static int
1280
list_extend_iter_lock_held(PyListObject *self, PyObject *iterable)
1281
7.11M
{
1282
7.11M
    PyObject *it = PyObject_GetIter(iterable);
1283
7.11M
    if (it == NULL) {
1284
0
        return -1;
1285
0
    }
1286
7.11M
    PyObject *(*iternext)(PyObject *) = *Py_TYPE(it)->tp_iternext;
1287
1288
    /* Guess a result list size. */
1289
7.11M
    Py_ssize_t n = PyObject_LengthHint(iterable, 8);
1290
7.11M
    if (n < 0) {
1291
0
        Py_DECREF(it);
1292
0
        return -1;
1293
0
    }
1294
1295
7.11M
    Py_ssize_t m = Py_SIZE(self);
1296
7.11M
    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
7.11M
    else if (self->ob_item == NULL) {
1303
6.84M
        if (n && list_preallocate_exact(self, n) < 0)
1304
0
            goto error;
1305
6.84M
    }
1306
268k
    else {
1307
        /* Make room. */
1308
268k
        if (list_resize(self, m + n) < 0) {
1309
0
            goto error;
1310
0
        }
1311
1312
        /* Make the list sane again. */
1313
268k
        Py_SET_SIZE(self, m);
1314
268k
    }
1315
1316
    /* Run iterator to exhaustion. */
1317
100M
    for (;;) {
1318
100M
        PyObject *item = iternext(it);
1319
100M
        if (item == NULL) {
1320
7.11M
            if (PyErr_Occurred()) {
1321
665
                if (PyErr_ExceptionMatches(PyExc_StopIteration))
1322
0
                    PyErr_Clear();
1323
665
                else
1324
665
                    goto error;
1325
665
            }
1326
7.11M
            break;
1327
7.11M
        }
1328
1329
93.5M
        if (Py_SIZE(self) < self->allocated) {
1330
92.7M
            Py_ssize_t len = Py_SIZE(self);
1331
92.7M
            FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[len], item);  // steals item ref
1332
92.7M
            Py_SET_SIZE(self, len + 1);
1333
92.7M
        }
1334
773k
        else {
1335
773k
            if (_PyList_AppendTakeRef(self, item) < 0)
1336
0
                goto error;
1337
773k
        }
1338
93.5M
    }
1339
1340
    /* Cut back result list if initial guess was too large. */
1341
7.11M
    if (Py_SIZE(self) < self->allocated) {
1342
4.22M
        if (list_resize(self, Py_SIZE(self)) < 0)
1343
0
            goto error;
1344
4.22M
    }
1345
1346
7.11M
    Py_DECREF(it);
1347
7.11M
    return 0;
1348
1349
665
  error:
1350
665
    Py_DECREF(it);
1351
665
    return -1;
1352
7.11M
}
1353
1354
static int
1355
list_extend_lock_held(PyListObject *self, PyObject *iterable)
1356
17.1M
{
1357
17.1M
    PyObject *seq = PySequence_Fast(iterable, "argument must be iterable");
1358
17.1M
    if (!seq) {
1359
0
        return -1;
1360
0
    }
1361
1362
17.1M
    int res = list_extend_fast(self, seq);
1363
17.1M
    Py_DECREF(seq);
1364
17.1M
    return res;
1365
17.1M
}
1366
1367
static int
1368
list_extend_set(PyListObject *self, PySetObject *other)
1369
270k
{
1370
270k
    Py_ssize_t m = Py_SIZE(self);
1371
270k
    Py_ssize_t n = PySet_GET_SIZE(other);
1372
270k
    Py_ssize_t r = m + n;
1373
270k
    if (r == 0) {
1374
638
        return 0;
1375
638
    }
1376
269k
    if (list_resize(self, r) < 0) {
1377
0
        return -1;
1378
0
    }
1379
1380
269k
    assert(self->ob_item != NULL);
1381
    /* populate the end of self with iterable's items */
1382
269k
    Py_ssize_t setpos = 0;
1383
269k
    Py_hash_t hash;
1384
269k
    PyObject *key;
1385
269k
    PyObject **dest = self->ob_item + m;
1386
1.33M
    while (_PySet_NextEntryRef((PyObject *)other, &setpos, &key, &hash)) {
1387
1.06M
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, key);
1388
1.06M
        dest++;
1389
1.06M
    }
1390
269k
    Py_SET_SIZE(self, r);
1391
269k
    return 0;
1392
269k
}
1393
1394
static int
1395
list_extend_dict(PyListObject *self, PyDictObject *dict, int which_item)
1396
5.10M
{
1397
    // which_item: 0 for keys and 1 for values
1398
5.10M
    Py_ssize_t m = Py_SIZE(self);
1399
5.10M
    Py_ssize_t n = PyDict_GET_SIZE(dict);
1400
5.10M
    Py_ssize_t r = m + n;
1401
5.10M
    if (r == 0) {
1402
0
        return 0;
1403
0
    }
1404
5.10M
    if (list_resize(self, r) < 0) {
1405
0
        return -1;
1406
0
    }
1407
1408
5.10M
    assert(self->ob_item != NULL);
1409
5.10M
    PyObject **dest = self->ob_item + m;
1410
5.10M
    Py_ssize_t pos = 0;
1411
5.10M
    PyObject *keyvalue[2];
1412
11.4M
    while (_PyDict_Next((PyObject *)dict, &pos, &keyvalue[0], &keyvalue[1], NULL)) {
1413
6.33M
        PyObject *obj = keyvalue[which_item];
1414
6.33M
        Py_INCREF(obj);
1415
6.33M
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, obj);
1416
6.33M
        dest++;
1417
6.33M
    }
1418
1419
5.10M
    Py_SET_SIZE(self, r);
1420
5.10M
    return 0;
1421
5.10M
}
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
29.6M
{
1459
    // Special case:
1460
    // lists and tuples which can use PySequence_Fast ops
1461
29.6M
    int res = -1;
1462
29.6M
    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
29.6M
    else if (PyList_CheckExact(iterable)) {
1468
9.76M
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1469
9.76M
        res = list_extend_lock_held(self, iterable);
1470
9.76M
        Py_END_CRITICAL_SECTION2();
1471
9.76M
    }
1472
19.9M
    else if (PyTuple_CheckExact(iterable)) {
1473
7.43M
        Py_BEGIN_CRITICAL_SECTION(self);
1474
7.43M
        res = list_extend_lock_held(self, iterable);
1475
7.43M
        Py_END_CRITICAL_SECTION();
1476
7.43M
    }
1477
12.4M
    else if (PyAnySet_CheckExact(iterable)) {
1478
270k
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1479
270k
        res = list_extend_set(self, (PySetObject *)iterable);
1480
270k
        Py_END_CRITICAL_SECTION2();
1481
270k
    }
1482
12.2M
    else if (PyDict_CheckExact(iterable)) {
1483
5.09M
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1484
5.09M
        res = list_extend_dict(self, (PyDictObject *)iterable, 0 /*keys*/);
1485
5.09M
        Py_END_CRITICAL_SECTION2();
1486
5.09M
    }
1487
7.11M
    else if (Py_IS_TYPE(iterable, &PyDictKeys_Type)) {
1488
656
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1489
656
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1490
656
        res = list_extend_dict(self, dict, 0 /*keys*/);
1491
656
        Py_END_CRITICAL_SECTION2();
1492
656
    }
1493
7.11M
    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
7.11M
    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
7.11M
    else {
1506
7.11M
        Py_BEGIN_CRITICAL_SECTION(self);
1507
7.11M
        res = list_extend_iter_lock_held(self, iterable);
1508
7.11M
        Py_END_CRITICAL_SECTION();
1509
7.11M
    }
1510
29.6M
    return res;
1511
29.6M
}
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
19.9M
{
1526
19.9M
    if (_list_extend(self, iterable) < 0) {
1527
665
        return NULL;
1528
665
    }
1529
19.9M
    Py_RETURN_NONE;
1530
19.9M
}
1531
1532
PyObject *
1533
_PyList_Extend(PyListObject *self, PyObject *iterable)
1534
18.6M
{
1535
18.6M
    return list_extend((PyObject*)self, iterable);
1536
18.6M
}
1537
1538
int
1539
PyList_Extend(PyObject *self, PyObject *iterable)
1540
0
{
1541
0
    if (!PyList_Check(self)) {
1542
0
        PyErr_BadInternalCall();
1543
0
        return -1;
1544
0
    }
1545
0
    return _list_extend((PyListObject*)self, iterable);
1546
0
}
1547
1548
1549
int
1550
PyList_Clear(PyObject *self)
1551
0
{
1552
0
    if (!PyList_Check(self)) {
1553
0
        PyErr_BadInternalCall();
1554
0
        return -1;
1555
0
    }
1556
0
    Py_BEGIN_CRITICAL_SECTION(self);
1557
0
    list_clear((PyListObject*)self);
1558
0
    Py_END_CRITICAL_SECTION();
1559
0
    return 0;
1560
0
}
1561
1562
1563
static PyObject *
1564
list_inplace_concat(PyObject *_self, PyObject *other)
1565
111k
{
1566
111k
    PyListObject *self = (PyListObject *)_self;
1567
111k
    if (_list_extend(self, other) < 0) {
1568
0
        return NULL;
1569
0
    }
1570
111k
    return Py_NewRef(self);
1571
111k
}
1572
1573
/*[clinic input]
1574
@critical_section
1575
list.pop
1576
1577
    index: Py_ssize_t = -1
1578
    /
1579
1580
Remove and return item at index (default last).
1581
1582
Raises IndexError if list is empty or index is out of range.
1583
[clinic start generated code]*/
1584
1585
static PyObject *
1586
list_pop_impl(PyListObject *self, Py_ssize_t index)
1587
/*[clinic end generated code: output=6bd69dcb3f17eca8 input=c269141068ae4b8f]*/
1588
22.5M
{
1589
22.5M
    PyObject *v;
1590
1591
22.5M
    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
22.5M
    if (index < 0)
1597
18.8M
        index += Py_SIZE(self);
1598
22.5M
    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
22.5M
    PyObject **items = self->ob_item;
1604
22.5M
    v = items[index];
1605
22.5M
    if (Py_SIZE(self) == 1) {
1606
8.68M
        Py_INCREF(v);
1607
8.68M
        list_clear(self);
1608
8.68M
        return v;
1609
8.68M
    }
1610
13.8M
    Py_ssize_t size_after_pop = Py_SIZE(self) - 1;
1611
13.8M
    if (index < size_after_pop) {
1612
2.34M
        ptr_wise_atomic_memmove(self, &items[index], &items[index+1],
1613
2.34M
                                size_after_pop - index);
1614
2.34M
    }
1615
13.8M
    list_resize(self, size_after_pop);  // NB: shrinking a list can't fail
1616
13.8M
    return v;
1617
22.5M
}
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
317k
{
1623
317k
    assert(lo && hi);
1624
1625
317k
    --hi;
1626
4.21M
    while (lo < hi) {
1627
3.89M
        PyObject *t = *lo;
1628
3.89M
        FT_ATOMIC_STORE_PTR_RELEASE(*lo, *hi);
1629
3.89M
        FT_ATOMIC_STORE_PTR_RELEASE(*hi, t);
1630
3.89M
        ++lo;
1631
3.89M
        --hi;
1632
3.89M
    }
1633
317k
}
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
31.9k
{
1656
31.9k
    s1->keys[i] = s2->keys[j];
1657
31.9k
    if (s1->values != NULL)
1658
30.9k
        s1->values[i] = s2->values[j];
1659
31.9k
}
1660
1661
Py_LOCAL_INLINE(void)
1662
sortslice_copy_incr(sortslice *dst, sortslice *src)
1663
721k
{
1664
721k
    *dst->keys++ = *src->keys++;
1665
721k
    if (dst->values != NULL)
1666
563k
        *dst->values++ = *src->values++;
1667
721k
}
1668
1669
Py_LOCAL_INLINE(void)
1670
sortslice_copy_decr(sortslice *dst, sortslice *src)
1671
2.85M
{
1672
2.85M
    *dst->keys-- = *src->keys--;
1673
2.85M
    if (dst->values != NULL)
1674
567k
        *dst->values-- = *src->values--;
1675
2.85M
}
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
166k
{
1682
166k
    memcpy(&s1->keys[i], &s2->keys[j], sizeof(PyObject *) * n);
1683
166k
    if (s1->values != NULL)
1684
157k
        memcpy(&s1->values[i], &s2->values[j], sizeof(PyObject *) * n);
1685
166k
}
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
931k
{
1699
931k
    slice->keys += n;
1700
931k
    if (slice->values != NULL)
1701
595k
        slice->values += n;
1702
931k
}
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
16.1M
#define IFLT(X, Y) if ((k = ISLT(X, Y)) < 0) goto fail;  \
1716
16.1M
           if (k)
1717
1718
/* The maximum number of entries in a MergeState's pending-runs stack.
1719
 * For a list with n elements, this needs at most floor(log2(n)) + 1 entries
1720
 * even if we didn't force runs to a minimal length.  So the number of bits
1721
 * in a Py_ssize_t is plenty large enough for all cases.
1722
 */
1723
#define MAX_MERGE_PENDING (SIZEOF_SIZE_T * 8)
1724
1725
/* When we get into galloping mode, we stay there until both runs win less
1726
 * often than MIN_GALLOP consecutive times.  See listsort.txt for more info.
1727
 */
1728
5.45M
#define MIN_GALLOP 7
1729
1730
/* Avoid malloc for small temp arrays. */
1731
6.45M
#define MERGESTATE_TEMP_SIZE 256
1732
1733
/* The largest value of minrun. This must be a power of 2, and >= 1 */
1734
5.27M
#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
245k
{
1815
245k
    Py_ssize_t k; /* for IFLT macro expansion */
1816
245k
    PyObject ** const a = ss->keys;
1817
245k
    PyObject ** const v = ss->values;
1818
245k
    const bool has_values = v != NULL;
1819
245k
    PyObject *pivot;
1820
245k
    Py_ssize_t M;
1821
1822
245k
    assert(0 <= ok && ok <= n && 1 <= n && n <= MAX_MINRUN);
1823
    /* assert a[:ok] is sorted */
1824
245k
    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
245k
    Py_ssize_t L, R;
1877
2.39M
    for (; ok < n; ++ok) {
1878
        /* set L to where a[ok] belongs */
1879
2.14M
        L = 0;
1880
2.14M
        R = ok;
1881
2.14M
        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
2.14M
        assert(L < R);
1888
8.31M
        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
8.31M
            M = (L + R) >> 1;
1892
8.31M
#if 1 // straightforward, but highly unpredictable branch on random data
1893
8.31M
            IFLT(pivot, a[M])
1894
3.04M
                R = M;
1895
5.26M
            else
1896
5.26M
                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
8.31M
        } while (L < R);
1911
2.14M
        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
11.1M
        for (M = ok; M > L; --M)
1918
8.97M
            a[M] = a[M - 1];
1919
2.14M
        a[L] = pivot;
1920
2.14M
        if (has_values) {
1921
1.53M
            pivot = v[ok];
1922
8.13M
            for (M = ok; M > L; --M)
1923
6.60M
                v[M] = v[M - 1];
1924
1.53M
            v[L] = pivot;
1925
1.53M
        }
1926
2.14M
    }
1927
245k
#endif // pick binary or regular insertion sort
1928
245k
    return 0;
1929
1930
0
 fail:
1931
0
    return -1;
1932
245k
}
1933
1934
static void
1935
sortslice_reverse(sortslice *s, Py_ssize_t n)
1936
274k
{
1937
274k
    reverse_slice(s->keys, &s->keys[n]);
1938
274k
    if (s->values != NULL)
1939
43.3k
        reverse_slice(s->values, &s->values[n]);
1940
274k
}
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
469k
{
1953
469k
    Py_ssize_t k; /* used by IFLT macro expansion */
1954
469k
    Py_ssize_t n;
1955
469k
    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
469k
#define REVERSE_LAST_NEQ                        \
1964
2.54M
    if (neq) {                                  \
1965
8.70k
        sortslice slice = *slo;                 \
1966
8.70k
        ++neq;                                  \
1967
8.70k
        sortslice_advance(&slice, n - neq);     \
1968
8.70k
        sortslice_reverse(&slice, neq);         \
1969
8.70k
        neq = 0;                                \
1970
8.70k
    }
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
469k
#define IF_NEXT_LARGER  IFLT(lo[n-1], lo[n])
1978
5.65M
#define IF_NEXT_SMALLER IFLT(lo[n], lo[n-1])
1979
1980
469k
    assert(nremaining);
1981
    /* try ascending run first */
1982
2.75M
    for (n = 1; n < nremaining; ++n) {
1983
2.67M
        IF_NEXT_SMALLER
1984
389k
            break;
1985
2.67M
    }
1986
469k
    if (n == nremaining)
1987
80.1k
        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
389k
    if (n > 1) {
1999
132k
        IFLT(lo[0], lo[n-1])
2000
128k
            return n;
2001
4.70k
        sortslice_reverse(slo, n);
2002
4.70k
    }
2003
260k
    ++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
260k
    Py_ssize_t neq = 0;
2010
2.57M
    for ( ; n < nremaining; ++n) {
2011
2.49M
        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
205k
        else {
2018
205k
            IF_NEXT_LARGER /* descending run is over */
2019
174k
                break;
2020
30.6k
            else /* not x < y and not y < x implies x == y */
2021
30.6k
                ++neq;
2022
205k
        }
2023
2.49M
    }
2024
260k
    REVERSE_LAST_NEQ
2025
260k
    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
620k
    for ( ; n < nremaining; ++n) {
2032
489k
        IF_NEXT_SMALLER
2033
129k
            break;
2034
489k
    }
2035
2036
260k
    return n;
2037
0
fail:
2038
0
    return -1;
2039
2040
260k
#undef REVERSE_LAST_NEQ
2041
260k
#undef IF_NEXT_SMALLER
2042
260k
#undef IF_NEXT_LARGER
2043
260k
}
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
160k
{
2069
160k
    Py_ssize_t ofs;
2070
160k
    Py_ssize_t lastofs;
2071
160k
    Py_ssize_t k;
2072
2073
160k
    assert(key && a && n > 0 && hint >= 0 && hint < n);
2074
2075
160k
    a += hint;
2076
160k
    lastofs = 0;
2077
160k
    ofs = 1;
2078
160k
    IFLT(*a, key) {
2079
        /* a[hint] < key -- gallop right, until
2080
         * a[hint + lastofs] < key <= a[hint + ofs]
2081
         */
2082
77.1k
        const Py_ssize_t maxofs = n - hint;             /* &a[n-1] is highest */
2083
252k
        while (ofs < maxofs) {
2084
196k
            IFLT(a[ofs], key) {
2085
175k
                lastofs = ofs;
2086
175k
                assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2087
175k
                ofs = (ofs << 1) + 1;
2088
175k
            }
2089
21.1k
            else                /* key <= a[hint + ofs] */
2090
21.1k
                break;
2091
196k
        }
2092
77.1k
        if (ofs > maxofs)
2093
22.7k
            ofs = maxofs;
2094
        /* Translate back to offsets relative to &a[0]. */
2095
77.1k
        lastofs += hint;
2096
77.1k
        ofs += hint;
2097
77.1k
    }
2098
83.7k
    else {
2099
        /* key <= a[hint] -- gallop left, until
2100
         * a[hint - ofs] < key <= a[hint - lastofs]
2101
         */
2102
83.7k
        const Py_ssize_t maxofs = hint + 1;             /* &a[0] is lowest */
2103
275k
        while (ofs < maxofs) {
2104
249k
            IFLT(*(a-ofs), key)
2105
58.6k
                break;
2106
            /* key <= a[hint - ofs] */
2107
191k
            lastofs = ofs;
2108
191k
            assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2109
191k
            ofs = (ofs << 1) + 1;
2110
191k
        }
2111
83.7k
        if (ofs > maxofs)
2112
17.7k
            ofs = maxofs;
2113
        /* Translate back to positive offsets relative to &a[0]. */
2114
83.7k
        k = lastofs;
2115
83.7k
        lastofs = hint - ofs;
2116
83.7k
        ofs = hint - k;
2117
83.7k
    }
2118
160k
    a -= hint;
2119
2120
160k
    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
160k
    ++lastofs;
2126
479k
    while (lastofs < ofs) {
2127
318k
        Py_ssize_t m = lastofs + ((ofs - lastofs) >> 1);
2128
2129
318k
        IFLT(a[m], key)
2130
163k
            lastofs = m+1;              /* a[m] < key */
2131
155k
        else
2132
155k
            ofs = m;                    /* key <= a[m] */
2133
318k
    }
2134
160k
    assert(lastofs == ofs);             /* so a[ofs-1] < key <= a[ofs] */
2135
160k
    return ofs;
2136
2137
0
fail:
2138
0
    return -1;
2139
160k
}
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
70.2k
        const Py_ssize_t maxofs = hint + 1;             /* &a[0] is lowest */
2172
187k
        while (ofs < maxofs) {
2173
139k
            IFLT(key, *(a-ofs)) {
2174
116k
                lastofs = ofs;
2175
116k
                assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2176
116k
                ofs = (ofs << 1) + 1;
2177
116k
            }
2178
22.7k
            else                /* a[hint - ofs] <= key */
2179
22.7k
                break;
2180
139k
        }
2181
70.2k
        if (ofs > maxofs)
2182
11.0k
            ofs = maxofs;
2183
        /* Translate back to positive offsets relative to &a[0]. */
2184
70.2k
        k = lastofs;
2185
70.2k
        lastofs = hint - ofs;
2186
70.2k
        ofs = hint - k;
2187
70.2k
    }
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
370k
        while (ofs < maxofs) {
2194
320k
            IFLT(key, a[ofs])
2195
59.5k
                break;
2196
            /* a[hint + ofs] <= key */
2197
260k
            lastofs = ofs;
2198
260k
            assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2199
260k
            ofs = (ofs << 1) + 1;
2200
260k
        }
2201
110k
        if (ofs > maxofs)
2202
27.2k
            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
165k
            ofs = m;                    /* key < a[m] */
2220
161k
        else
2221
161k
            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
5.25M
{
2235
5.25M
    assert(ms != NULL);
2236
5.25M
    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
603k
        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
603k
        if (MERGESTATE_TEMP_SIZE / 2 < ms->alloced)
2248
2.47k
            ms->alloced = MERGESTATE_TEMP_SIZE / 2;
2249
603k
        ms->a.values = &ms->temparray[ms->alloced];
2250
603k
    }
2251
4.64M
    else {
2252
4.64M
        ms->alloced = MERGESTATE_TEMP_SIZE;
2253
4.64M
        ms->a.values = NULL;
2254
4.64M
    }
2255
5.25M
    ms->a.keys = ms->temparray;
2256
5.25M
    ms->n = 0;
2257
5.25M
    ms->min_gallop = MIN_GALLOP;
2258
5.25M
    ms->listlen = list_size;
2259
5.25M
    ms->basekeys = lo->keys;
2260
2261
    /* State for generating minrun values. See listsort.txt. */
2262
5.25M
    ms->mr_e = 0;
2263
5.27M
    while (list_size >> ms->mr_e >= MAX_MINRUN) {
2264
24.1k
        ++ms->mr_e;
2265
24.1k
    }
2266
5.25M
    ms->mr_mask = (1 << ms->mr_e) - 1;
2267
5.25M
    ms->mr_current = 0;
2268
5.25M
}
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
5.25M
{
2277
5.25M
    assert(ms != NULL);
2278
5.25M
    if (ms->a.keys != ms->temparray) {
2279
4.49k
        PyMem_Free(ms->a.keys);
2280
4.49k
        ms->a.keys = NULL;
2281
4.49k
    }
2282
5.25M
}
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
4.49k
{
2290
4.49k
    int multiplier;
2291
2292
4.49k
    assert(ms != NULL);
2293
4.49k
    if (need <= ms->alloced)
2294
0
        return 0;
2295
2296
4.49k
    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
4.49k
    merge_freemem(ms);
2302
4.49k
    if ((size_t)need > PY_SSIZE_T_MAX / sizeof(PyObject *) / multiplier) {
2303
0
        PyErr_NoMemory();
2304
0
        return -1;
2305
0
    }
2306
4.49k
    ms->a.keys = (PyObject **)PyMem_Malloc(multiplier * need
2307
4.49k
                                          * sizeof(PyObject *));
2308
4.49k
    if (ms->a.keys != NULL) {
2309
4.49k
        ms->alloced = need;
2310
4.49k
        if (ms->a.values != NULL)
2311
4.43k
            ms->a.values = &ms->a.keys[need];
2312
4.49k
        return 0;
2313
4.49k
    }
2314
0
    PyErr_NoMemory();
2315
0
    return -1;
2316
4.49k
}
2317
60.2k
#define MERGE_GETMEM(MS, NEED) ((NEED) <= (MS)->alloced ? 0 :   \
2318
60.2k
                                merge_getmem(MS, NEED))
2319
2320
/* Merge the na elements starting at ssa with the nb elements starting at
2321
 * ssb.keys = ssa.keys + na in a stable way, in-place.  na and nb must be > 0.
2322
 * Must also have that ssa.keys[na-1] belongs at the end of the merge, and
2323
 * should have na <= nb.  See listsort.txt for more info.  Return 0 if
2324
 * successful, -1 if error.
2325
 */
2326
static Py_ssize_t
2327
merge_lo(MergeState *ms, sortslice ssa, Py_ssize_t na,
2328
         sortslice ssb, Py_ssize_t nb)
2329
37.3k
{
2330
37.3k
    Py_ssize_t k;
2331
37.3k
    sortslice dest;
2332
37.3k
    int result = -1;            /* guilty until proved innocent */
2333
37.3k
    Py_ssize_t min_gallop;
2334
2335
37.3k
    assert(ms && ssa.keys && ssb.keys && na > 0 && nb > 0);
2336
37.3k
    assert(ssa.keys + na == ssb.keys);
2337
37.3k
    if (MERGE_GETMEM(ms, na) < 0)
2338
0
        return -1;
2339
37.3k
    sortslice_memcpy(&ms->a, 0, &ssa, 0, na);
2340
37.3k
    dest = ssa;
2341
37.3k
    ssa = ms->a;
2342
2343
37.3k
    sortslice_copy_incr(&dest, &ssb);
2344
37.3k
    --nb;
2345
37.3k
    if (nb == 0)
2346
2.18k
        goto Succeed;
2347
35.1k
    if (na == 1)
2348
6.78k
        goto CopyB;
2349
2350
28.3k
    min_gallop = ms->min_gallop;
2351
42.8k
    for (;;) {
2352
42.8k
        Py_ssize_t acount = 0;          /* # of times A won in a row */
2353
42.8k
        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
583k
        for (;;) {
2359
583k
            assert(na > 1 && nb > 0);
2360
583k
            k = ISLT(ssb.keys[0], ssa.keys[0]);
2361
583k
            if (k) {
2362
286k
                if (k < 0)
2363
0
                    goto Fail;
2364
286k
                sortslice_copy_incr(&dest, &ssb);
2365
286k
                ++bcount;
2366
286k
                acount = 0;
2367
286k
                --nb;
2368
286k
                if (nb == 0)
2369
3.36k
                    goto Succeed;
2370
282k
                if (bcount >= min_gallop)
2371
17.9k
                    break;
2372
282k
            }
2373
297k
            else {
2374
297k
                sortslice_copy_incr(&dest, &ssa);
2375
297k
                ++acount;
2376
297k
                bcount = 0;
2377
297k
                --na;
2378
297k
                if (na == 1)
2379
2.71k
                    goto CopyB;
2380
294k
                if (acount >= min_gallop)
2381
18.9k
                    break;
2382
294k
            }
2383
583k
        }
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
36.8k
        ++min_gallop;
2391
63.2k
        do {
2392
63.2k
            assert(na > 1 && nb > 0);
2393
63.2k
            min_gallop -= min_gallop > 1;
2394
63.2k
            ms->min_gallop = min_gallop;
2395
63.2k
            k = gallop_right(ms, ssb.keys[0], ssa.keys, na, 0);
2396
63.2k
            acount = k;
2397
63.2k
            if (k) {
2398
40.2k
                if (k < 0)
2399
0
                    goto Fail;
2400
40.2k
                sortslice_memcpy(&dest, 0, &ssa, 0, k);
2401
40.2k
                sortslice_advance(&dest, k);
2402
40.2k
                sortslice_advance(&ssa, k);
2403
40.2k
                na -= k;
2404
40.2k
                if (na == 1)
2405
7.09k
                    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
33.1k
                if (na == 0)
2411
0
                    goto Succeed;
2412
33.1k
            }
2413
56.1k
            sortslice_copy_incr(&dest, &ssb);
2414
56.1k
            --nb;
2415
56.1k
            if (nb == 0)
2416
1.43k
                goto Succeed;
2417
2418
54.7k
            k = gallop_left(ms, ssa.keys[0], ssb.keys, nb, 0);
2419
54.7k
            bcount = k;
2420
54.7k
            if (k) {
2421
48.2k
                if (k < 0)
2422
0
                    goto Fail;
2423
48.2k
                sortslice_memmove(&dest, 0, &ssb, 0, k);
2424
48.2k
                sortslice_advance(&dest, k);
2425
48.2k
                sortslice_advance(&ssb, k);
2426
48.2k
                nb -= k;
2427
48.2k
                if (nb == 0)
2428
10.2k
                    goto Succeed;
2429
48.2k
            }
2430
44.5k
            sortslice_copy_incr(&dest, &ssa);
2431
44.5k
            --na;
2432
44.5k
            if (na == 1)
2433
3.51k
                goto CopyB;
2434
44.5k
        } while (acount >= MIN_GALLOP || bcount >= MIN_GALLOP);
2435
14.5k
        ++min_gallop;           /* penalize it for leaving galloping mode */
2436
14.5k
        ms->min_gallop = min_gallop;
2437
14.5k
    }
2438
17.1k
Succeed:
2439
17.1k
    result = 0;
2440
17.1k
Fail:
2441
17.1k
    if (na)
2442
17.1k
        sortslice_memcpy(&dest, 0, &ssa, 0, na);
2443
17.1k
    return result;
2444
20.1k
CopyB:
2445
20.1k
    assert(na == 1 && nb > 0);
2446
    /* The last element of ssa belongs at the end of the merge. */
2447
20.1k
    sortslice_memmove(&dest, 0, &ssb, 0, nb);
2448
20.1k
    sortslice_copy(&dest, nb, &ssa, 0);
2449
20.1k
    return 0;
2450
17.1k
}
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
22.9k
{
2462
22.9k
    Py_ssize_t k;
2463
22.9k
    sortslice dest, basea, baseb;
2464
22.9k
    int result = -1;            /* guilty until proved innocent */
2465
22.9k
    Py_ssize_t min_gallop;
2466
2467
22.9k
    assert(ms && ssa.keys && ssb.keys && na > 0 && nb > 0);
2468
22.9k
    assert(ssa.keys + na == ssb.keys);
2469
22.9k
    if (MERGE_GETMEM(ms, nb) < 0)
2470
0
        return -1;
2471
22.9k
    dest = ssb;
2472
22.9k
    sortslice_advance(&dest, nb-1);
2473
22.9k
    sortslice_memcpy(&ms->a, 0, &ssb, 0, nb);
2474
22.9k
    basea = ssa;
2475
22.9k
    baseb = ms->a;
2476
22.9k
    ssb.keys = ms->a.keys + nb - 1;
2477
22.9k
    if (ssb.values != NULL)
2478
21.7k
        ssb.values = ms->a.values + nb - 1;
2479
22.9k
    sortslice_advance(&ssa, na - 1);
2480
2481
22.9k
    sortslice_copy_decr(&dest, &ssa);
2482
22.9k
    --na;
2483
22.9k
    if (na == 0)
2484
0
        goto Succeed;
2485
22.9k
    if (nb == 1)
2486
1.11k
        goto CopyA;
2487
2488
21.8k
    min_gallop = ms->min_gallop;
2489
34.3k
    for (;;) {
2490
34.3k
        Py_ssize_t acount = 0;          /* # of times A won in a row */
2491
34.3k
        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
1.38M
                if (k < 0)
2501
0
                    goto Fail;
2502
1.38M
                sortslice_copy_decr(&dest, &ssa);
2503
1.38M
                ++acount;
2504
1.38M
                bcount = 0;
2505
1.38M
                --na;
2506
1.38M
                if (na == 0)
2507
949
                    goto Succeed;
2508
1.37M
                if (acount >= min_gallop)
2509
15.7k
                    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
760
                    goto CopyA;
2518
1.36M
                if (bcount >= min_gallop)
2519
16.8k
                    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
32.6k
        ++min_gallop;
2529
56.1k
        do {
2530
56.1k
            assert(na > 0 && nb > 1);
2531
56.1k
            min_gallop -= min_gallop > 1;
2532
56.1k
            ms->min_gallop = min_gallop;
2533
56.1k
            k = gallop_right(ms, ssb.keys[0], basea.keys, na, na-1);
2534
56.1k
            if (k < 0)
2535
0
                goto Fail;
2536
56.1k
            k = na - k;
2537
56.1k
            acount = k;
2538
56.1k
            if (k) {
2539
34.9k
                sortslice_advance(&dest, -k);
2540
34.9k
                sortslice_advance(&ssa, -k);
2541
34.9k
                sortslice_memmove(&dest, 1, &ssa, 1, k);
2542
34.9k
                na -= k;
2543
34.9k
                if (na == 0)
2544
9.41k
                    goto Succeed;
2545
34.9k
            }
2546
46.7k
            sortslice_copy_decr(&dest, &ssb);
2547
46.7k
            --nb;
2548
46.7k
            if (nb == 1)
2549
839
                goto CopyA;
2550
2551
45.9k
            k = gallop_left(ms, ssa.keys[0], baseb.keys, nb, nb-1);
2552
45.9k
            if (k < 0)
2553
0
                goto Fail;
2554
45.9k
            k = nb - k;
2555
45.9k
            bcount = k;
2556
45.9k
            if (k) {
2557
37.9k
                sortslice_advance(&dest, -k);
2558
37.9k
                sortslice_advance(&ssb, -k);
2559
37.9k
                sortslice_memcpy(&dest, 1, &ssb, 1, k);
2560
37.9k
                nb -= k;
2561
37.9k
                if (nb == 1)
2562
9.09k
                    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
28.9k
                if (nb == 0)
2568
0
                    goto Succeed;
2569
28.9k
            }
2570
36.8k
            sortslice_copy_decr(&dest, &ssa);
2571
36.8k
            --na;
2572
36.8k
            if (na == 0)
2573
799
                goto Succeed;
2574
36.8k
        } 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
11.7k
CopyA:
2585
11.7k
    assert(nb == 1 && na > 0);
2586
    /* The first element of ssb belongs at the front of the merge. */
2587
11.7k
    sortslice_memmove(&dest, 1-na, &ssa, 1-na, na);
2588
11.7k
    sortslice_advance(&dest, -na);
2589
11.7k
    sortslice_advance(&ssa, -na);
2590
11.7k
    sortslice_copy(&dest, 0, &ssb, 0);
2591
11.7k
    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
410
        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
668
        return 0;
2635
2636
    /* Where does a end in b?  Elements in b after that can be
2637
     * ignored (already in place).
2638
     */
2639
60.2k
    nb = gallop_left(ms, ssa.keys[na-1], ssb.keys, nb, nb-1);
2640
60.2k
    if (nb <= 0)
2641
0
        return nb;
2642
2643
    /* Merge what remains of the runs, using a temp array with
2644
     * min(na, nb) elements.
2645
     */
2646
60.2k
    if (na <= nb)
2647
37.3k
        return merge_lo(ms, ssa, na, ssb, nb);
2648
22.9k
    else
2649
22.9k
        return merge_hi(ms, ssa, na, ssb, nb);
2650
60.2k
}
2651
2652
/* Two adjacent runs begin at index s1. The first run has length n1, and
2653
 * the second run (starting at index s1+n1) has length n2. The list has total
2654
 * length n.
2655
 * Compute the "power" of the first run. See listsort.txt for details.
2656
 */
2657
static int
2658
powerloop(Py_ssize_t s1, Py_ssize_t n1, Py_ssize_t n2, Py_ssize_t n)
2659
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
236k
    for (;;) {
2677
236k
        ++result;
2678
236k
        if (a >= n) {  /* both quotient bits are 1 */
2679
90.1k
            assert(b >= a);
2680
90.1k
            a -= n;
2681
90.1k
            b -= n;
2682
90.1k
        }
2683
146k
        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
236k
        assert(a < b && b < n);
2687
175k
        a <<= 1;
2688
175k
        b <<= 1;
2689
175k
    }
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
469k
{
2707
469k
    assert(ms);
2708
469k
    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
100k
        while (ms->n > 1 && p[ms->n - 2].power > power) {
2715
39.7k
            if (merge_at(ms, ms->n - 2) < 0)
2716
0
                return -1;
2717
39.7k
        }
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
469k
    return 0;
2722
469k
}
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
408k
{
2732
408k
    struct s_slice *p = ms->pending;
2733
2734
408k
    assert(ms);
2735
429k
    while (ms->n > 1) {
2736
21.1k
        Py_ssize_t n = ms->n - 2;
2737
21.1k
        if (n > 0 && p[n-1].len < p[n+1].len)
2738
410
            --n;
2739
21.1k
        if (merge_at(ms, n) < 0)
2740
0
            return -1;
2741
21.1k
    }
2742
408k
    return 0;
2743
408k
}
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
469k
{
2749
469k
    ms->mr_current += ms->listlen;
2750
469k
    assert(ms->mr_current >= 0); /* no overflow */
2751
469k
    Py_ssize_t result = ms->mr_current >> ms->mr_e;
2752
469k
    ms->mr_current &= ms->mr_mask;
2753
469k
    return result;
2754
469k
}
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
8.74M
{
2780
8.74M
    PyObject *res_obj; int res;
2781
2782
    /* No assumptions, because we check first: */
2783
8.74M
    if (Py_TYPE(v)->tp_richcompare != ms->key_richcompare)
2784
0
        return PyObject_RichCompareBool(v, w, Py_LT);
2785
2786
8.74M
    assert(ms->key_richcompare != NULL);
2787
8.74M
    res_obj = (*(ms->key_richcompare))(v, w, Py_LT);
2788
2789
8.74M
    if (res_obj == Py_NotImplemented) {
2790
0
        Py_DECREF(res_obj);
2791
0
        return PyObject_RichCompareBool(v, w, Py_LT);
2792
0
    }
2793
8.74M
    if (res_obj == NULL)
2794
0
        return -1;
2795
2796
8.74M
    if (PyBool_Check(res_obj)) {
2797
8.74M
        res = (res_obj == Py_True);
2798
8.74M
        assert(_Py_IsImmortal(res_obj));
2799
8.74M
    }
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
8.74M
    return res;
2811
8.74M
}
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
534k
{
2817
534k
    Py_ssize_t len;
2818
534k
    int res;
2819
2820
    /* Modified from Objects/unicodeobject.c:unicode_compare, assuming: */
2821
534k
    assert(Py_IS_TYPE(v, &PyUnicode_Type));
2822
534k
    assert(Py_IS_TYPE(w, &PyUnicode_Type));
2823
534k
    assert(PyUnicode_KIND(v) == PyUnicode_KIND(w));
2824
534k
    assert(PyUnicode_KIND(v) == PyUnicode_1BYTE_KIND);
2825
2826
534k
    len = Py_MIN(PyUnicode_GET_LENGTH(v), PyUnicode_GET_LENGTH(w));
2827
534k
    res = memcmp(PyUnicode_DATA(v), PyUnicode_DATA(w), len);
2828
2829
534k
    res = (res != 0 ?
2830
531k
           res < 0 :
2831
534k
           PyUnicode_GET_LENGTH(v) < PyUnicode_GET_LENGTH(w));
2832
2833
534k
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));;
2834
534k
    return res;
2835
534k
}
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
9.12M
{
2841
9.12M
    PyLongObject *vl, *wl;
2842
9.12M
    intptr_t v0, w0;
2843
9.12M
    int res;
2844
2845
    /* Modified from Objects/longobject.c:long_compare, assuming: */
2846
9.12M
    assert(Py_IS_TYPE(v, &PyLong_Type));
2847
9.12M
    assert(Py_IS_TYPE(w, &PyLong_Type));
2848
9.12M
    assert(_PyLong_IsCompact((PyLongObject *)v));
2849
9.12M
    assert(_PyLong_IsCompact((PyLongObject *)w));
2850
2851
9.12M
    vl = (PyLongObject*)v;
2852
9.12M
    wl = (PyLongObject*)w;
2853
2854
9.12M
    v0 = _PyLong_CompactValue(vl);
2855
9.12M
    w0 = _PyLong_CompactValue(wl);
2856
2857
9.12M
    res = v0 < w0;
2858
9.12M
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));
2859
9.12M
    return res;
2860
9.12M
}
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
1.02k
    else
2916
1.02k
        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
5.25M
{
2947
5.25M
    MergeState ms;
2948
5.25M
    Py_ssize_t nremaining;
2949
5.25M
    Py_ssize_t minrun;
2950
5.25M
    sortslice lo;
2951
5.25M
    Py_ssize_t saved_ob_size, saved_allocated;
2952
5.25M
    PyObject **saved_ob_item;
2953
5.25M
    PyObject **final_ob_item;
2954
5.25M
    PyObject *result = NULL;            /* guilty until proved innocent */
2955
5.25M
    Py_ssize_t i;
2956
5.25M
    PyObject **keys;
2957
2958
5.25M
    assert(self != NULL);
2959
5.25M
    assert(PyList_Check(self));
2960
5.25M
    if (keyfunc == Py_None)
2961
4.63M
        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
5.25M
    saved_ob_size = Py_SIZE(self);
2969
5.25M
    saved_ob_item = self->ob_item;
2970
5.25M
    saved_allocated = self->allocated;
2971
5.25M
    Py_SET_SIZE(self, 0);
2972
5.25M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, NULL);
2973
5.25M
    self->allocated = -1; /* any operation will reset it to >= 0 */
2974
2975
5.25M
    if (keyfunc == NULL) {
2976
4.64M
        keys = NULL;
2977
4.64M
        lo.keys = saved_ob_item;
2978
4.64M
        lo.values = NULL;
2979
4.64M
    }
2980
603k
    else {
2981
603k
        if (saved_ob_size < MERGESTATE_TEMP_SIZE/2)
2982
            /* Leverage stack space we allocated but won't otherwise use */
2983
599k
            keys = &ms.temparray[saved_ob_size+1];
2984
4.11k
        else {
2985
4.11k
            keys = PyMem_Malloc(sizeof(PyObject *) * saved_ob_size);
2986
4.11k
            if (keys == NULL) {
2987
0
                PyErr_NoMemory();
2988
0
                goto keyfunc_fail;
2989
0
            }
2990
4.11k
        }
2991
2992
5.18M
        for (i = 0; i < saved_ob_size ; i++) {
2993
4.58M
            keys[i] = PyObject_CallOneArg(keyfunc, saved_ob_item[i]);
2994
4.58M
            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
4.58M
        }
3002
3003
603k
        lo.keys = keys;
3004
603k
        lo.values = saved_ob_item;
3005
603k
    }
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
5.25M
    if (saved_ob_size > 1) {
3013
        /* Assume the first element is representative of the whole list. */
3014
408k
        int keys_are_in_tuples = (Py_IS_TYPE(lo.keys[0], &PyTuple_Type) &&
3015
1.19k
                                  Py_SIZE(lo.keys[0]) > 0);
3016
3017
408k
        PyTypeObject* key_type = (keys_are_in_tuples ?
3018
1.19k
                                  Py_TYPE(PyTuple_GET_ITEM(lo.keys[0], 0)) :
3019
408k
                                  Py_TYPE(lo.keys[0]));
3020
3021
408k
        int keys_are_all_same_type = 1;
3022
408k
        int strings_are_latin = 1;
3023
408k
        int ints_are_bounded = 1;
3024
3025
        /* Prove that assumption by checking every key. */
3026
8.24M
        for (i=0; i < saved_ob_size; i++) {
3027
3028
7.83M
            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
7.83M
            PyObject *key = (keys_are_in_tuples ?
3039
2.27M
                             PyTuple_GET_ITEM(lo.keys[i], 0) :
3040
7.83M
                             lo.keys[i]);
3041
3042
7.83M
            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
7.83M
            if (keys_are_all_same_type) {
3052
7.83M
                if (key_type == &PyLong_Type &&
3053
6.34M
                    ints_are_bounded &&
3054
4.62M
                    !_PyLong_IsCompact((PyLongObject *)key)) {
3055
3056
5.90k
                    ints_are_bounded = 0;
3057
5.90k
                }
3058
7.83M
                else if (key_type == &PyUnicode_Type &&
3059
1.27M
                         strings_are_latin &&
3060
490k
                         PyUnicode_KIND(key) != PyUnicode_1BYTE_KIND) {
3061
3062
212k
                        strings_are_latin = 0;
3063
212k
                    }
3064
7.83M
                }
3065
7.83M
            }
3066
3067
        /* Choose the best compare, given what we now know about the keys. */
3068
408k
        if (keys_are_all_same_type) {
3069
3070
408k
            if (key_type == &PyUnicode_Type && strings_are_latin) {
3071
83.9k
                ms.key_compare = unsafe_latin_compare;
3072
83.9k
            }
3073
324k
            else if (key_type == &PyLong_Type && ints_are_bounded) {
3074
80.5k
                ms.key_compare = unsafe_long_compare;
3075
80.5k
            }
3076
243k
            else if (key_type == &PyFloat_Type) {
3077
0
                ms.key_compare = unsafe_float_compare;
3078
0
            }
3079
243k
            else if ((ms.key_richcompare = key_type->tp_richcompare) != NULL) {
3080
243k
                ms.key_compare = unsafe_object_compare;
3081
243k
            }
3082
0
            else {
3083
0
                ms.key_compare = safe_object_compare;
3084
0
            }
3085
408k
        }
3086
4
        else {
3087
4
            ms.key_compare = safe_object_compare;
3088
4
        }
3089
3090
408k
        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
1.19k
            if (key_type == &PyTuple_Type) {
3094
0
                ms.tuple_elem_compare = safe_object_compare;
3095
0
            }
3096
1.19k
            else {
3097
1.19k
                ms.tuple_elem_compare = ms.key_compare;
3098
1.19k
            }
3099
3100
1.19k
            ms.key_compare = unsafe_tuple_compare;
3101
1.19k
        }
3102
408k
    }
3103
    /* End of pre-sort check: ms is now set properly! */
3104
3105
5.25M
    merge_init(&ms, saved_ob_size, keys != NULL, &lo);
3106
3107
5.25M
    nremaining = saved_ob_size;
3108
5.25M
    if (nremaining < 2)
3109
4.84M
        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
408k
    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
469k
    do {
3123
469k
        Py_ssize_t n;
3124
3125
        /* Identify next run. */
3126
469k
        n = count_run(&ms, &lo, nremaining);
3127
469k
        if (n < 0)
3128
0
            goto fail;
3129
        /* If short, extend to min(minrun, nremaining). */
3130
469k
        minrun = minrun_next(&ms);
3131
469k
        if (n < minrun) {
3132
245k
            const Py_ssize_t force = nremaining <= minrun ?
3133
201k
                              nremaining : minrun;
3134
245k
            if (binarysort(&ms, &lo, force, n) < 0)
3135
0
                goto fail;
3136
245k
            n = force;
3137
245k
        }
3138
        /* Maybe merge pending runs. */
3139
469k
        assert(ms.n == 0 || ms.pending[ms.n -1].base.keys +
3140
469k
                            ms.pending[ms.n-1].len == lo.keys);
3141
469k
        if (found_new_run(&ms, n) < 0)
3142
0
            goto fail;
3143
        /* Push new run on stack. */
3144
469k
        assert(ms.n < MAX_MERGE_PENDING);
3145
469k
        ms.pending[ms.n].base = lo;
3146
469k
        ms.pending[ms.n].len = n;
3147
469k
        ++ms.n;
3148
        /* Advance to find next run. */
3149
469k
        sortslice_advance(&lo, n);
3150
469k
        nremaining -= n;
3151
469k
    } while (nremaining);
3152
3153
408k
    if (merge_force_collapse(&ms) < 0)
3154
0
        goto fail;
3155
408k
    assert(ms.n == 1);
3156
408k
    assert(keys == NULL
3157
408k
           ? ms.pending[0].base.keys == saved_ob_item
3158
408k
           : ms.pending[0].base.keys == &keys[0]);
3159
408k
    assert(ms.pending[0].len == saved_ob_size);
3160
408k
    lo = ms.pending[0].base;
3161
3162
5.25M
succeed:
3163
5.25M
    result = Py_None;
3164
5.25M
fail:
3165
5.25M
    if (keys != NULL) {
3166
5.18M
        for (i = 0; i < saved_ob_size; i++)
3167
4.58M
            Py_DECREF(keys[i]);
3168
603k
        if (saved_ob_size >= MERGESTATE_TEMP_SIZE/2)
3169
4.11k
            PyMem_Free(keys);
3170
603k
    }
3171
3172
5.25M
    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
5.25M
    if (reverse && saved_ob_size > 1)
3181
122
        reverse_slice(saved_ob_item, saved_ob_item + saved_ob_size);
3182
3183
5.25M
    merge_freemem(&ms);
3184
3185
5.25M
keyfunc_fail:
3186
5.25M
    final_ob_item = self->ob_item;
3187
5.25M
    i = Py_SIZE(self);
3188
5.25M
    Py_SET_SIZE(self, saved_ob_size);
3189
5.25M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, saved_ob_item);
3190
5.25M
    FT_ATOMIC_STORE_SSIZE_RELAXED(self->allocated, saved_allocated);
3191
5.25M
    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
5.25M
    return Py_XNewRef(result);
3206
5.25M
}
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
291k
{
3262
291k
    if (v == NULL || !PyList_Check(v)) {
3263
0
        PyErr_BadInternalCall();
3264
0
        return NULL;
3265
0
    }
3266
291k
    PyObject *ret;
3267
291k
    PyListObject *self = (PyListObject *)v;
3268
291k
    Py_BEGIN_CRITICAL_SECTION(self);
3269
291k
    ret = PyTuple_FromArray(self->ob_item, Py_SIZE(v));
3270
291k
    Py_END_CRITICAL_SECTION();
3271
291k
    return ret;
3272
291k
}
3273
3274
PyObject *
3275
_PyList_AsTupleAndClear(PyListObject *self)
3276
11.8M
{
3277
11.8M
    assert(self != NULL);
3278
11.8M
    PyObject *ret;
3279
11.8M
    if (self->ob_item == NULL) {
3280
98.2k
        return PyTuple_New(0);
3281
98.2k
    }
3282
11.7M
    Py_BEGIN_CRITICAL_SECTION(self);
3283
11.7M
    PyObject **items = self->ob_item;
3284
11.7M
    Py_ssize_t size = Py_SIZE(self);
3285
11.7M
    Py_SET_SIZE(self, 0);
3286
11.7M
    ret = _PyTuple_FromArraySteal(items, size);
3287
11.7M
    Py_END_CRITICAL_SECTION();
3288
11.7M
    return ret;
3289
11.8M
}
3290
3291
PyObject *
3292
_PyList_FromStackRefStealOnSuccess(const _PyStackRef *src, Py_ssize_t n)
3293
100M
{
3294
100M
    if (n == 0) {
3295
89.7M
        return PyList_New(0);
3296
89.7M
    }
3297
3298
11.1M
    PyListObject *list = (PyListObject *)PyList_New(n);
3299
11.1M
    if (list == NULL) {
3300
0
        return NULL;
3301
0
    }
3302
3303
11.1M
    PyObject **dst = list->ob_item;
3304
26.0M
    for (Py_ssize_t i = 0; i < n; i++) {
3305
14.8M
        dst[i] = PyStackRef_AsPyObjectSteal(src[i]);
3306
14.8M
    }
3307
3308
11.1M
    return (PyObject *)list;
3309
11.1M
}
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
16.1k
{
3407
16.1k
    Py_ssize_t i;
3408
3409
16.1k
    for (i = 0; i < Py_SIZE(self); i++) {
3410
16.1k
        PyObject *obj = self->ob_item[i];
3411
16.1k
        Py_INCREF(obj);
3412
16.1k
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3413
16.1k
        Py_DECREF(obj);
3414
16.1k
        if (cmp > 0) {
3415
16.1k
            if (list_ass_slice_lock_held(self, i, i+1, NULL) == 0)
3416
16.1k
                Py_RETURN_NONE;
3417
0
            return NULL;
3418
16.1k
        }
3419
24
        else if (cmp < 0)
3420
0
            return NULL;
3421
16.1k
    }
3422
2
    PyErr_SetString(PyExc_ValueError, "list.remove(x): x not in list");
3423
2
    return NULL;
3424
16.1k
}
3425
3426
static int
3427
list_traverse(PyObject *self, visitproc visit, void *arg)
3428
129M
{
3429
129M
    PyListObject *o = (PyListObject *)self;
3430
129M
    Py_ssize_t i;
3431
3432
424M
    for (i = Py_SIZE(o); --i >= 0; )
3433
295M
        Py_VISIT(o->ob_item[i]);
3434
129M
    return 0;
3435
129M
}
3436
3437
static PyObject *
3438
list_richcompare_impl(PyObject *v, PyObject *w, int op)
3439
137k
{
3440
137k
    PyListObject *vl, *wl;
3441
137k
    Py_ssize_t i;
3442
3443
137k
    if (!PyList_Check(v) || !PyList_Check(w))
3444
1.82k
        Py_RETURN_NOTIMPLEMENTED;
3445
3446
135k
    vl = (PyListObject *)v;
3447
135k
    wl = (PyListObject *)w;
3448
3449
135k
    if (Py_SIZE(vl) != Py_SIZE(wl) && (op == Py_EQ || op == Py_NE)) {
3450
        /* Shortcut: if the lengths differ, the lists differ */
3451
18.8k
        if (op == Py_EQ)
3452
18.8k
            Py_RETURN_FALSE;
3453
0
        else
3454
0
            Py_RETURN_TRUE;
3455
18.8k
    }
3456
3457
    /* Search for the first index where items are different */
3458
157k
    for (i = 0; i < Py_SIZE(vl) && i < Py_SIZE(wl); i++) {
3459
139k
        PyObject *vitem = vl->ob_item[i];
3460
139k
        PyObject *witem = wl->ob_item[i];
3461
139k
        if (vitem == witem) {
3462
36.0k
            continue;
3463
36.0k
        }
3464
3465
103k
        Py_INCREF(vitem);
3466
103k
        Py_INCREF(witem);
3467
103k
        int k = PyObject_RichCompareBool(vitem, witem, Py_EQ);
3468
103k
        Py_DECREF(vitem);
3469
103k
        Py_DECREF(witem);
3470
103k
        if (k < 0)
3471
0
            return NULL;
3472
103k
        if (!k)
3473
99.8k
            break;
3474
103k
    }
3475
3476
117k
    if (i >= Py_SIZE(vl) || i >= Py_SIZE(wl)) {
3477
        /* No more items to compare -- compare sizes */
3478
17.2k
        Py_RETURN_RICHCOMPARE(Py_SIZE(vl), Py_SIZE(wl), op);
3479
17.2k
    }
3480
3481
    /* We have an item that differs -- shortcuts for EQ/NE */
3482
99.8k
    if (op == Py_EQ) {
3483
99.8k
        Py_RETURN_FALSE;
3484
99.8k
    }
3485
27
    if (op == Py_NE) {
3486
27
        Py_RETURN_TRUE;
3487
27
    }
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
27
}
3499
3500
static PyObject *
3501
list_richcompare(PyObject *v, PyObject *w, int op)
3502
137k
{
3503
137k
    PyObject *ret;
3504
137k
    Py_BEGIN_CRITICAL_SECTION2(v, w);
3505
137k
    ret = list_richcompare_impl(v, w, op);
3506
137k
    Py_END_CRITICAL_SECTION2()
3507
137k
    return ret;
3508
137k
}
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
19.5M
{
3526
    /* Verify list invariants established by PyType_GenericAlloc() */
3527
19.5M
    assert(0 <= Py_SIZE(self));
3528
19.5M
    assert(Py_SIZE(self) <= self->allocated || self->allocated == -1);
3529
19.5M
    assert(self->ob_item != NULL ||
3530
19.5M
           self->allocated == 0 || self->allocated == -1);
3531
3532
    /* Empty previous contents */
3533
19.5M
    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
19.5M
    if (iterable != NULL) {
3539
9.62M
        if (_list_extend(self, iterable) < 0) {
3540
0
            return -1;
3541
0
        }
3542
9.62M
    }
3543
19.5M
    return 0;
3544
19.5M
}
3545
3546
static PyObject *
3547
list_vectorcall(PyObject *type, PyObject * const*args,
3548
                size_t nargsf, PyObject *kwnames)
3549
9.63M
{
3550
9.63M
    if (!_PyArg_NoKwnames("list", kwnames)) {
3551
0
        return NULL;
3552
0
    }
3553
9.63M
    Py_ssize_t nargs = PyVectorcall_NARGS(nargsf);
3554
9.63M
    if (!_PyArg_CheckPositional("list", nargs, 0, 1)) {
3555
0
        return NULL;
3556
0
    }
3557
3558
9.63M
    PyObject *list = PyType_GenericAlloc(_PyType_CAST(type), 0);
3559
9.63M
    if (list == NULL) {
3560
0
        return NULL;
3561
0
    }
3562
9.63M
    if (nargs) {
3563
9.62M
        if (list___init___impl((PyListObject *)list, args[0])) {
3564
0
            Py_DECREF(list);
3565
0
            return NULL;
3566
0
        }
3567
9.62M
    }
3568
9.63M
    return list;
3569
9.63M
}
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
520
{
3634
520
    PyListObject *np = (PyListObject *)list_new_prealloc(len);
3635
520
    if (np == NULL) {
3636
0
        return NULL;
3637
0
    }
3638
520
    size_t cur;
3639
520
    Py_ssize_t i;
3640
520
    PyObject **src = a->ob_item;
3641
520
    PyObject **dest = np->ob_item;
3642
4.87k
    for (cur = start, i = 0; i < len;
3643
4.35k
            cur += (size_t)step, i++) {
3644
4.35k
        PyObject *v = src[cur];
3645
4.35k
        dest[i] = Py_NewRef(v);
3646
4.35k
    }
3647
520
    Py_SET_SIZE(np, len);
3648
520
    return (PyObject *)np;
3649
520
}
3650
3651
static PyObject *
3652
list_slice_wrap(PyListObject *aa, Py_ssize_t start, Py_ssize_t stop, Py_ssize_t step)
3653
3.36M
{
3654
3.36M
    PyObject *res = NULL;
3655
3.36M
    Py_BEGIN_CRITICAL_SECTION(aa);
3656
3.36M
    Py_ssize_t len = PySlice_AdjustIndices(Py_SIZE(aa), &start, &stop, step);
3657
3.36M
    if (len <= 0) {
3658
416k
        res = PyList_New(0);
3659
416k
    }
3660
2.94M
    else if (step == 1) {
3661
2.94M
        res = list_slice_lock_held(aa, start, stop);
3662
2.94M
    }
3663
520
    else {
3664
520
        res = list_slice_step_lock_held(aa, start, step, len);
3665
520
    }
3666
3.36M
    Py_END_CRITICAL_SECTION();
3667
3.36M
    return res;
3668
3.36M
}
3669
3670
static inline PyObject*
3671
list_slice_subscript(PyObject* self, PyObject* item)
3672
3.36M
{
3673
3.36M
    assert(PyList_Check(self));
3674
3.36M
    assert(PySlice_Check(item));
3675
3.36M
    Py_ssize_t start, stop, step;
3676
3.36M
    if (PySlice_Unpack(item, &start, &stop, &step) < 0) {
3677
0
        return NULL;
3678
0
    }
3679
3.36M
    return list_slice_wrap((PyListObject *)self, start, stop, step);
3680
3.36M
}
3681
3682
PyObject *
3683
_PyList_SliceSubscript(PyObject* _self, PyObject* item)
3684
3.36M
{
3685
3.36M
    return list_slice_subscript(_self, item);
3686
3.36M
}
3687
3688
static PyObject *
3689
list_subscript(PyObject* _self, PyObject* item)
3690
28.0M
{
3691
28.0M
    PyListObject* self = (PyListObject*)_self;
3692
28.0M
    if (_PyIndex_Check(item)) {
3693
28.0M
        Py_ssize_t i;
3694
28.0M
        i = PyNumber_AsSsize_t(item, PyExc_IndexError);
3695
28.0M
        if (i == -1 && PyErr_Occurred())
3696
24
            return NULL;
3697
28.0M
        if (i < 0)
3698
22.0M
            i += PyList_GET_SIZE(self);
3699
28.0M
        return list_item((PyObject *)self, i);
3700
28.0M
    }
3701
255
    else if (PySlice_Check(item)) {
3702
255
        return list_slice_subscript(_self, item);
3703
255
    }
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
28.0M
}
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
266k
{
3717
266k
    Py_ssize_t slicelength = PySlice_AdjustIndices(Py_SIZE(lst), start, stop,
3718
266k
                                                   step);
3719
3720
    /* Make sure s[5:2] = [..] inserts at the right place:
3721
        before 5, not before 2. */
3722
266k
    if ((step < 0 && *start < *stop) ||
3723
266k
        (step > 0 && *start > *stop))
3724
0
        *stop = *start;
3725
3726
266k
    return slicelength;
3727
266k
}
3728
3729
static int
3730
list_ass_subscript_lock_held(PyObject *_self, PyObject *item, PyObject *value)
3731
4.52M
{
3732
4.52M
    _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED(_self);
3733
3734
4.52M
    PyListObject *self = (PyListObject *)_self;
3735
4.52M
    if (_PyIndex_Check(item)) {
3736
4.25M
        Py_ssize_t i = PyNumber_AsSsize_t(item, PyExc_IndexError);
3737
4.25M
        if (i == -1 && PyErr_Occurred())
3738
0
            return -1;
3739
4.25M
        if (i < 0)
3740
4.25M
            i += PyList_GET_SIZE(self);
3741
4.25M
        return list_ass_item_lock_held(self, i, value);
3742
4.25M
    }
3743
266k
    else if (PySlice_Check(item)) {
3744
266k
        Py_ssize_t start, stop, step;
3745
3746
266k
        if (PySlice_Unpack(item, &start, &stop, &step) < 0) {
3747
0
            return -1;
3748
0
        }
3749
3750
266k
        if (value == NULL) {
3751
            /* delete slice */
3752
131
            PyObject **garbage;
3753
131
            size_t cur;
3754
131
            Py_ssize_t i;
3755
131
            int res;
3756
3757
131
            Py_ssize_t slicelength = adjust_slice_indexes(self, &start, &stop,
3758
131
                                                          step);
3759
3760
131
            if (step == 1)
3761
131
                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
266k
        else {
3816
            /* assign slice */
3817
266k
            PyObject *ins, *seq;
3818
266k
            PyObject **garbage, **seqitems, **selfitems;
3819
266k
            Py_ssize_t i;
3820
266k
            size_t cur;
3821
3822
            /* protect against a[::-1] = a */
3823
266k
            if (self == (PyListObject*)value) {
3824
0
                seq = list_slice_lock_held((PyListObject *)value, 0,
3825
0
                                            Py_SIZE(value));
3826
0
            }
3827
266k
            else {
3828
266k
                seq = PySequence_Fast(value,
3829
266k
                                      "must assign iterable "
3830
266k
                                      "to extended slice");
3831
266k
            }
3832
266k
            if (!seq)
3833
0
                return -1;
3834
3835
266k
            Py_ssize_t slicelength = adjust_slice_indexes(self, &start, &stop,
3836
266k
                                                          step);
3837
3838
266k
            if (step == 1) {
3839
266k
                int res = list_ass_slice_lock_held(self, start, stop, seq);
3840
266k
                Py_DECREF(seq);
3841
266k
                return res;
3842
266k
            }
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
266k
    }
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
4.52M
}
3894
3895
static int
3896
list_ass_subscript(PyObject *self, PyObject *item, PyObject *value)
3897
4.52M
{
3898
4.52M
    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
4.52M
    Py_BEGIN_CRITICAL_SECTION(self);
3908
4.52M
    res = list_ass_subscript_lock_held(self, item, value);
3909
4.52M
    Py_END_CRITICAL_SECTION();
3910
4.52M
    return res;
3911
4.52M
}
3912
3913
static _PyObjectIndexPair
3914
list_iteritem(PyObject *obj, Py_ssize_t index)
3915
1.55M
{
3916
1.55M
    PyObject *result = list_get_item_ref((PyListObject *)obj, index);
3917
1.55M
    return (_PyObjectIndexPair) { .object = result, .index = index + 1 };
3918
1.55M
}
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
29.0M
{
4031
29.0M
    if (!PyList_Check(seq)) {
4032
0
        PyErr_BadInternalCall();
4033
0
        return NULL;
4034
0
    }
4035
29.0M
    _PyListIterObject *it = _Py_FREELIST_POP(_PyListIterObject, list_iters);
4036
29.0M
    if (it == NULL) {
4037
1.76M
        it = PyObject_GC_New(_PyListIterObject, &PyListIter_Type);
4038
1.76M
        if (it == NULL) {
4039
0
            return NULL;
4040
0
        }
4041
1.76M
    }
4042
29.0M
    it->it_index = 0;
4043
29.0M
    it->it_seq = (PyListObject *)Py_NewRef(seq);
4044
29.0M
    _PyObject_GC_TRACK(it);
4045
29.0M
    return (PyObject *)it;
4046
29.0M
}
4047
4048
static void
4049
listiter_dealloc(PyObject *self)
4050
29.0M
{
4051
29.0M
    _PyListIterObject *it = (_PyListIterObject *)self;
4052
29.0M
    _PyObject_GC_UNTRACK(it);
4053
29.0M
    Py_XDECREF(it->it_seq);
4054
29.0M
    assert(Py_IS_TYPE(self, &PyListIter_Type));
4055
29.0M
    _Py_FREELIST_FREE(list_iters, it, PyObject_GC_Del);
4056
29.0M
}
4057
4058
static int
4059
listiter_traverse(PyObject *it, visitproc visit, void *arg)
4060
478k
{
4061
478k
    Py_VISIT(((_PyListIterObject *)it)->it_seq);
4062
478k
    return 0;
4063
478k
}
4064
4065
static PyObject *
4066
listiter_next(PyObject *self)
4067
135M
{
4068
135M
    _PyListIterObject *it = (_PyListIterObject *)self;
4069
135M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4070
135M
    if (index < 0) {
4071
188
        return NULL;
4072
188
    }
4073
4074
135M
    PyObject *item = list_get_item_ref(it->it_seq, index);
4075
135M
    if (item == NULL) {
4076
        // out-of-bounds
4077
28.4M
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, -1);
4078
28.4M
#ifndef Py_GIL_DISABLED
4079
28.4M
        PyListObject *seq = it->it_seq;
4080
28.4M
        it->it_seq = NULL;
4081
28.4M
        Py_DECREF(seq);
4082
28.4M
#endif
4083
28.4M
        return NULL;
4084
28.4M
    }
4085
106M
    FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index + 1);
4086
106M
    return item;
4087
135M
}
4088
4089
static PyObject *
4090
listiter_len(PyObject *self, PyObject *Py_UNUSED(ignored))
4091
1.23M
{
4092
1.23M
    assert(self != NULL);
4093
1.23M
    _PyListIterObject *it = (_PyListIterObject *)self;
4094
1.23M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4095
1.23M
    if (index >= 0) {
4096
1.23M
        Py_ssize_t len = PyList_GET_SIZE(it->it_seq) - index;
4097
1.23M
        if (len >= 0)
4098
1.23M
            return PyLong_FromSsize_t(len);
4099
1.23M
    }
4100
0
    return PyLong_FromLong(0);
4101
1.23M
}
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
43.2M
{
4191
43.2M
    listreviterobject *it;
4192
4193
43.2M
    it = PyObject_GC_New(listreviterobject, &PyListRevIter_Type);
4194
43.2M
    if (it == NULL)
4195
0
        return NULL;
4196
43.2M
    assert(PyList_Check(self));
4197
43.2M
    it->it_index = PyList_GET_SIZE(self) - 1;
4198
43.2M
    it->it_seq = (PyListObject*)Py_NewRef(self);
4199
43.2M
    PyObject_GC_Track(it);
4200
43.2M
    return (PyObject *)it;
4201
43.2M
}
4202
4203
static void
4204
listreviter_dealloc(PyObject *self)
4205
43.2M
{
4206
43.2M
    listreviterobject *it = (listreviterobject *)self;
4207
43.2M
    PyObject_GC_UnTrack(it);
4208
43.2M
    Py_XDECREF(it->it_seq);
4209
43.2M
    PyObject_GC_Del(it);
4210
43.2M
}
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
54.2M
{
4222
54.2M
    listreviterobject *it = (listreviterobject *)self;
4223
54.2M
    assert(it != NULL);
4224
54.2M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4225
54.2M
    if (index < 0) {
4226
28.2M
        return NULL;
4227
28.2M
    }
4228
4229
26.0M
    PyListObject *seq = it->it_seq;
4230
26.0M
    assert(PyList_Check(seq));
4231
26.0M
    PyObject *item = list_get_item_ref(seq, index);
4232
26.0M
    if (item != NULL) {
4233
26.0M
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index - 1);
4234
26.0M
        return item;
4235
26.0M
    }
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
26.0M
}
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
}