/* Dictionary object implementation using a hash table */

/* The distribution includes a separate file, Objects/dictnotes.txt,

describing explorations into dictionary design and optimization.

It covers typical dictionary use patterns, the parameters for

tuning dictionaries, and several ideas for possible optimizations.

*/

/* PyDictKeysObject

This implements the dictionary's hashtable.

As of Python 3.6, this is compact and ordered. Basic idea is described here:

* https://mail.python.org/pipermail/python-dev/2012-December/123028.html

* https://morepypy.blogspot.com/2015/01/faster-more-memory-efficient-and-more.html

layout:

+---------------------+

| dk_refcnt |

| dk_log2_size |

| dk_log2_index_bytes |

| dk_kind |

| dk_version |

| dk_usable |

| dk_nentries |

+---------------------+

| dk_indices[] |

| |

+---------------------+

| dk_entries[] |

| |

+---------------------+

dk_indices is actual hashtable. It holds index in entries, or DKIX_EMPTY(-1)

or DKIX_DUMMY(-2).

Size of indices is dk_size. Type of each index in indices varies with dk_size:

* int8 for dk_size <= 128

* int16 for 256 <= dk_size <= 2**15

* int32 for 2**16 <= dk_size <= 2**31

* int64 for 2**32 <= dk_size

dk_entries is array of PyDictKeyEntry when dk_kind == DICT_KEYS_GENERAL or

PyDictUnicodeEntry otherwise. Its length is USABLE_FRACTION(dk_size).

NOTE: Since negative value is used for DKIX_EMPTY and DKIX_DUMMY, type of

dk_indices entry is signed integer and int16 is used for table which

dk_size == 256.

*/

/*

The DictObject can be in one of two forms.

Either:

A combined table:

ma_values == NULL, dk_refcnt == 1.

Values are stored in the me_value field of the PyDictKeyEntry.

Or:

A split table:

ma_values != NULL, dk_refcnt >= 1

Values are stored in the ma_values array.

Only string (unicode) keys are allowed.

There are four kinds of slots in the table (slot is index, and

DK_ENTRIES(keys)[index] if index >= 0):

1. Unused. index == DKIX_EMPTY

Does not hold an active (key, value) pair now and never did. Unused can

transition to Active upon key insertion. This is each slot's initial state.

2. Active. index >= 0, me_key != NULL and me_value != NULL

Holds an active (key, value) pair. Active can transition to Dummy or

Pending upon key deletion (for combined and split tables respectively).

This is the only case in which me_value != NULL.

3. Dummy. index == DKIX_DUMMY (combined only)

Previously held an active (key, value) pair, but that was deleted and an

active pair has not yet overwritten the slot. Dummy can transition to

Active upon key insertion. Dummy slots cannot be made Unused again

else the probe sequence in case of collision would have no way to know

they were once active.

In free-threaded builds dummy slots are not re-used to allow lock-free

lookups to proceed safely.

4. Pending. index >= 0, key != NULL, and value == NULL (split only)

Not yet inserted in split-table.

*/

/*

Preserving insertion order

It's simple for combined table. Since dk_entries is mostly append only, we can

get insertion order by just iterating dk_entries.

One exception is .popitem(). It removes last item in dk_entries and decrement

dk_nentries to achieve amortized O(1). Since there are DKIX_DUMMY remains in

dk_indices, we can't increment dk_usable even though dk_nentries is

decremented.

To preserve the order in a split table, a bit vector is used to record the

insertion order. When a key is inserted the bit vector is shifted up by 4 bits

and the index of the key is stored in the low 4 bits.

As a consequence of this, split keys have a maximum size of 16.

*/

/* PyDict_MINSIZE is the starting size for any new dict.

* 8 allows dicts with no more than 5 active entries; experiments suggested

* this suffices for the majority of dicts (consisting mostly of usually-small

* dicts created to pass keyword arguments).

* Making this 8, rather than 4 reduces the number of resizes for most

* dictionaries, without any significant extra memory use.

*/

#define PyDict_LOG_MINSIZE 3

#define PyDict_MINSIZE 8

#include "Python.h"

#include "pycore_bitutils.h" // _Py_bit_length

#include "pycore_call.h" // _PyObject_CallNoArgs()

#include "pycore_ceval.h" // _PyEval_GetBuiltin()

#include "pycore_code.h" // stats

#include "pycore_critical_section.h" // Py_BEGIN_CRITICAL_SECTION, Py_END_CRITICAL_SECTION

#include "pycore_dict.h" // export _PyDict_SizeOf()

#include "pycore_freelist.h" // _PyFreeListState_GET()

#include "pycore_gc.h" // _PyObject_GC_IS_TRACKED()

#include "pycore_object.h" // _PyObject_GC_TRACK(), _PyDebugAllocatorStats()

#include "pycore_pyatomic_ft_wrappers.h" // FT_ATOMIC_LOAD_SSIZE_RELAXED

#include "pycore_pyerrors.h" // _PyErr_GetRaisedException()

#include "pycore_pystate.h" // _PyThreadState_GET()

#include "pycore_setobject.h" // _PySet_NextEntry()

#include "pycore_tuple.h" // _PyTuple_Recycle()

#include "pycore_unicodeobject.h" // _PyUnicode_InternImmortal()

#include "stringlib/eq.h" // unicode_eq()

#include <stdbool.h>

// Forward declarations

static PyObject* frozendict_new(PyTypeObject *type, PyObject *args,

PyObject *kwds);

static PyObject* frozendict_new_untracked(PyTypeObject *type);

static PyObject* dict_new(PyTypeObject *type, PyObject *args, PyObject *kwds);

static int dict_merge(PyObject *a, PyObject *b, int override, PyObject **dupkey);

static int dict_contains(PyObject *op, PyObject *key);

static int dict_merge_from_seq2(PyObject *d, PyObject *seq2, int override);

/*[clinic input]

class dict "PyDictObject *" "&PyDict_Type"

class frozendict "PyFrozenDictObject *" "&PyFrozenDict_Type"

[clinic start generated code]*/

/*[clinic end generated code: output=da39a3ee5e6b4b0d input=5dfa93bac68e7c54]*/

/*

To ensure the lookup algorithm terminates, there must be at least one Unused

slot (NULL key) in the table.

To avoid slowing down lookups on a near-full table, we resize the table when

it's USABLE_FRACTION (currently two-thirds) full.

*/

#ifdef Py_GIL_DISABLED

static inline void

ASSERT_DICT_LOCKED(PyObject *op)

{

_Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED(op);

}

#define ASSERT_DICT_LOCKED(op) ASSERT_DICT_LOCKED(_Py_CAST(PyObject*, op))

#define ASSERT_WORLD_STOPPED_OR_DICT_LOCKED(op) \

if (!_PyInterpreterState_GET()->stoptheworld.world_stopped) { \

ASSERT_DICT_LOCKED(op); \

}

#define ASSERT_WORLD_STOPPED_OR_OBJ_LOCKED(op) \

if (!_PyInterpreterState_GET()->stoptheworld.world_stopped) { \

_Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED(op); \

}

#define IS_DICT_SHARED(mp) _PyObject_GC_IS_SHARED(mp)

#define SET_DICT_SHARED(mp) _PyObject_GC_SET_SHARED(mp)

#define LOAD_INDEX(keys, size, idx) _Py_atomic_load_int##size##_relaxed(&((const int##size##_t*)keys->dk_indices)[idx]);

#define STORE_INDEX(keys, size, idx, value) _Py_atomic_store_int##size##_relaxed(&((int##size##_t*)keys->dk_indices)[idx], (int##size##_t)value);

#define ASSERT_OWNED_OR_SHARED(mp) \

assert(_Py_IsOwnedByCurrentThread((PyObject *)mp) || IS_DICT_SHARED(mp));

#define LOCK_KEYS_IF_SPLIT(keys, kind) \

if (kind == DICT_KEYS_SPLIT) { \

LOCK_KEYS(keys); \

}

#define UNLOCK_KEYS_IF_SPLIT(keys, kind) \

if (kind == DICT_KEYS_SPLIT) { \

UNLOCK_KEYS(keys); \

}

static inline Py_ssize_t

load_keys_nentries(PyDictObject *mp)

{

PyDictKeysObject *keys = _Py_atomic_load_ptr(&mp->ma_keys);

return _Py_atomic_load_ssize(&keys->dk_nentries);

}

static inline void

set_keys(PyDictObject *mp, PyDictKeysObject *keys)

{

ASSERT_OWNED_OR_SHARED(mp);

_Py_atomic_store_ptr_release(&mp->ma_keys, keys);

}

static inline void

set_values(PyDictObject *mp, PyDictValues *values)

{

ASSERT_OWNED_OR_SHARED(mp);

_Py_atomic_store_ptr_release(&mp->ma_values, values);

}

#define LOCK_KEYS(keys) PyMutex_LockFlags(&keys->dk_mutex, _Py_LOCK_DONT_DETACH)

#define UNLOCK_KEYS(keys) PyMutex_Unlock(&keys->dk_mutex)

#define ASSERT_KEYS_LOCKED(keys) assert(PyMutex_IsLocked(&keys->dk_mutex))

#define LOAD_SHARED_KEY(key) _Py_atomic_load_ptr_acquire(&key)

#define STORE_SHARED_KEY(key, value) _Py_atomic_store_ptr_release(&key, value)

// Inc refs the keys object, giving the previous value

#define INCREF_KEYS(dk) _Py_atomic_add_ssize(&dk->dk_refcnt, 1)

// Dec refs the keys object, giving the previous value

#define DECREF_KEYS(dk) _Py_atomic_add_ssize(&dk->dk_refcnt, -1)

#define LOAD_KEYS_NENTRIES(keys) _Py_atomic_load_ssize_relaxed(&keys->dk_nentries)

#define INCREF_KEYS_FT(dk) dictkeys_incref(dk)

#define DECREF_KEYS_FT(dk, shared) dictkeys_decref(dk, shared)

static inline void split_keys_entry_added(PyDictKeysObject *keys)

{

ASSERT_KEYS_LOCKED(keys);

// We increase before we decrease so we never get too small of a value

// when we're racing with reads

_Py_atomic_store_ssize_relaxed(&keys->dk_nentries, keys->dk_nentries + 1);

_Py_atomic_store_ssize_release(&keys->dk_usable, keys->dk_usable - 1);

}

#else /* Py_GIL_DISABLED */

#define ASSERT_DICT_LOCKED(op)

#define ASSERT_WORLD_STOPPED_OR_DICT_LOCKED(op)

#define ASSERT_WORLD_STOPPED_OR_OBJ_LOCKED(op)

#define LOCK_KEYS(keys)

#define UNLOCK_KEYS(keys)

#define ASSERT_KEYS_LOCKED(keys)

#define LOAD_SHARED_KEY(key) key

#define STORE_SHARED_KEY(key, value) key = value

#define INCREF_KEYS(dk) dk->dk_refcnt++

#define DECREF_KEYS(dk) dk->dk_refcnt--

#define LOAD_KEYS_NENTRIES(keys) keys->dk_nentries

#define INCREF_KEYS_FT(dk)

#define DECREF_KEYS_FT(dk, shared)

#define LOCK_KEYS_IF_SPLIT(keys, kind)

#define UNLOCK_KEYS_IF_SPLIT(keys, kind)

#define IS_DICT_SHARED(mp) (false)

#define SET_DICT_SHARED(mp)

#define LOAD_INDEX(keys, size, idx) ((const int##size##_t*)(keys->dk_indices))[idx]

#define STORE_INDEX(keys, size, idx, value) ((int##size##_t*)(keys->dk_indices))[idx] = (int##size##_t)value

static inline void split_keys_entry_added(PyDictKeysObject *keys)

{

keys->dk_usable--;

keys->dk_nentries++;

}

static inline void

set_keys(PyDictObject *mp, PyDictKeysObject *keys)

{

mp->ma_keys = keys;

}

static inline void

set_values(PyDictObject *mp, PyDictValues *values)

{

mp->ma_values = values;

}

static inline Py_ssize_t

load_keys_nentries(PyDictObject *mp)

{

return mp->ma_keys->dk_nentries;

}

#endif

#ifndef NDEBUG

// Check if it's possible to modify a dictionary.

// Usage: assert(can_modify_dict(mp)).

static inline int

can_modify_dict(PyDictObject *mp)

{

if (PyFrozenDict_Check(mp)) {

// No locking required to modify a newly created frozendict

// since it's only accessible from the current thread.

return PyUnstable_Object_IsUniquelyReferenced(_PyObject_CAST(mp));

}

else {

// Locking is only required if the dictionary is not

// uniquely referenced.

ASSERT_DICT_LOCKED(mp);

return 1;

}

}

#endif

#define _PyAnyDict_CAST(op) \

(assert(PyAnyDict_Check(op)), _Py_CAST(PyDictObject*, op))

#define GET_USED(ep) FT_ATOMIC_LOAD_SSIZE_RELAXED((ep)->ma_used)

#define STORE_KEY(ep, key) FT_ATOMIC_STORE_PTR_RELEASE((ep)->me_key, key)

#define STORE_VALUE(ep, value) FT_ATOMIC_STORE_PTR_RELEASE((ep)->me_value, value)

#define STORE_SPLIT_VALUE(mp, idx, value) FT_ATOMIC_STORE_PTR_RELEASE(mp->ma_values->values[idx], value)

#define STORE_HASH(ep, hash) FT_ATOMIC_STORE_SSIZE_RELAXED((ep)->me_hash, hash)

#define STORE_KEYS_USABLE(keys, usable) FT_ATOMIC_STORE_SSIZE_RELAXED(keys->dk_usable, usable)

#define STORE_KEYS_NENTRIES(keys, nentries) FT_ATOMIC_STORE_SSIZE_RELAXED(keys->dk_nentries, nentries)

#define STORE_USED(mp, used) FT_ATOMIC_STORE_SSIZE_RELAXED(mp->ma_used, used)

#define PERTURB_SHIFT 5

/*

Major subtleties ahead: Most hash schemes depend on having a "good" hash

function, in the sense of simulating randomness. Python doesn't: its most

important hash functions (for ints) are very regular in common

cases:

>>>[hash(i) for i in range(4)]

[0, 1, 2, 3]

This isn't necessarily bad! To the contrary, in a table of size 2**i, taking

the low-order i bits as the initial table index is extremely fast, and there

are no collisions at all for dicts indexed by a contiguous range of ints. So

this gives better-than-random behavior in common cases, and that's very

desirable.

OTOH, when collisions occur, the tendency to fill contiguous slices of the

hash table makes a good collision resolution strategy crucial. Taking only

the last i bits of the hash code is also vulnerable: for example, consider

the list [i << 16 for i in range(20000)] as a set of keys. Since ints are

their own hash codes, and this fits in a dict of size 2**15, the last 15 bits

of every hash code are all 0: they *all* map to the same table index.

But catering to unusual cases should not slow the usual ones, so we just take

the last i bits anyway. It's up to collision resolution to do the rest. If

we *usually* find the key we're looking for on the first try (and, it turns

out, we usually do -- the table load factor is kept under 2/3, so the odds

are solidly in our favor), then it makes best sense to keep the initial index

computation dirt cheap.

The first half of collision resolution is to visit table indices via this

recurrence:

j = ((5*j) + 1) mod 2**i

For any initial j in range(2**i), repeating that 2**i times generates each

int in range(2**i) exactly once (see any text on random-number generation for

proof). By itself, this doesn't help much: like linear probing (setting

j += 1, or j -= 1, on each loop trip), it scans the table entries in a fixed

order. This would be bad, except that's not the only thing we do, and it's

actually *good* in the common cases where hash keys are consecutive. In an

example that's really too small to make this entirely clear, for a table of

size 2**3 the order of indices is:

0 -> 1 -> 6 -> 7 -> 4 -> 5 -> 2 -> 3 -> 0 [and here it's repeating]

If two things come in at index 5, the first place we look after is index 2,

not 6, so if another comes in at index 6 the collision at 5 didn't hurt it.

Linear probing is deadly in this case because there the fixed probe order

is the *same* as the order consecutive keys are likely to arrive. But it's

extremely unlikely hash codes will follow a 5*j+1 recurrence by accident,

and certain that consecutive hash codes do not.

The other half of the strategy is to get the other bits of the hash code

into play. This is done by initializing a (unsigned) vrbl "perturb" to the

full hash code, and changing the recurrence to:

perturb >>= PERTURB_SHIFT;

j = (5*j) + 1 + perturb;

use j % 2**i as the next table index;

Now the probe sequence depends (eventually) on every bit in the hash code,

and the pseudo-scrambling property of recurring on 5*j+1 is more valuable,

because it quickly magnifies small differences in the bits that didn't affect

the initial index. Note that because perturb is unsigned, if the recurrence

is executed often enough perturb eventually becomes and remains 0. At that

point (very rarely reached) the recurrence is on (just) 5*j+1 again, and

that's certain to find an empty slot eventually (since it generates every int

in range(2**i), and we make sure there's always at least one empty slot).

Selecting a good value for PERTURB_SHIFT is a balancing act. You want it

small so that the high bits of the hash code continue to affect the probe

sequence across iterations; but you want it large so that in really bad cases

the high-order hash bits have an effect on early iterations. 5 was "the

best" in minimizing total collisions across experiments Tim Peters ran (on

both normal and pathological cases), but 4 and 6 weren't significantly worse.

Historical: Reimer Behrends contributed the idea of using a polynomial-based

approach, using repeated multiplication by x in GF(2**n) where an irreducible

polynomial for each table size was chosen such that x was a primitive root.

Christian Tismer later extended that to use division by x instead, as an

efficient way to get the high bits of the hash code into play. This scheme

also gave excellent collision statistics, but was more expensive: two

if-tests were required inside the loop; computing "the next" index took about

the same number of operations but without as much potential parallelism

(e.g., computing 5*j can go on at the same time as computing 1+perturb in the

above, and then shifting perturb can be done while the table index is being

masked); and the PyDictObject struct required a member to hold the table's

polynomial. In Tim's experiments the current scheme ran faster, produced

equally good collision statistics, needed less code & used less memory.

*/

static int dictresize(PyDictObject *mp, uint8_t log_newsize, int unicode);

static PyObject* dict_iter(PyObject *dict);

static int

setitem_lock_held(PyDictObject *mp, PyObject *key, PyObject *value);

static int

dict_setdefault_ref_lock_held(PyObject *d, PyObject *key, PyObject *default_value,

PyObject **result, int incref_result);

#ifndef NDEBUG

static int _PyObject_InlineValuesConsistencyCheck(PyObject *obj);

#endif

#include "clinic/dictobject.c.h"

static inline Py_hash_t

unicode_get_hash(PyObject *o)

{

return PyUnstable_Unicode_GET_CACHED_HASH(o);

}

/* Print summary info about the state of the optimized allocator */

void

_PyDict_DebugMallocStats(FILE *out)

{

_PyDebugAllocatorStats(out, "free PyDictObject",

_Py_FREELIST_SIZE(dicts),

_PyType_PreHeaderSize(&PyDict_Type) + sizeof(PyDictObject));

_PyDebugAllocatorStats(out, "free PyDictKeysObject",

_Py_FREELIST_SIZE(dictkeys),

sizeof(PyDictKeysObject));

}

#define DK_MASK(dk) (DK_SIZE(dk)-1)

#define _Py_DICT_IMMORTAL_INITIAL_REFCNT PY_SSIZE_T_MIN

static void free_keys_object(PyDictKeysObject *keys, bool use_qsbr);

/* PyDictKeysObject has refcounts like PyObject does, so we have the

following two functions to mirror what Py_INCREF() and Py_DECREF() do.

(Keep in mind that PyDictKeysObject isn't actually a PyObject.)

Likewise a PyDictKeysObject can be immortal (e.g. Py_EMPTY_KEYS),

so we apply a naive version of what Py_INCREF() and Py_DECREF() do

for immortal objects. */

static inline void

dictkeys_incref(PyDictKeysObject *dk)

{

if (FT_ATOMIC_LOAD_SSIZE_RELAXED(dk->dk_refcnt) < 0) {

assert(FT_ATOMIC_LOAD_SSIZE_RELAXED(dk->dk_refcnt) == _Py_DICT_IMMORTAL_INITIAL_REFCNT);

return;

}

#ifdef Py_REF_DEBUG

_Py_IncRefTotal(_PyThreadState_GET());

#endif

INCREF_KEYS(dk);

}

static inline void

dictkeys_decref(PyDictKeysObject *dk, bool use_qsbr)

{

if (FT_ATOMIC_LOAD_SSIZE_RELAXED(dk->dk_refcnt) < 0) {

assert(FT_ATOMIC_LOAD_SSIZE_RELAXED(dk->dk_refcnt) == _Py_DICT_IMMORTAL_INITIAL_REFCNT);

return;

}

assert(FT_ATOMIC_LOAD_SSIZE(dk->dk_refcnt) > 0);

#ifdef Py_REF_DEBUG

_Py_DecRefTotal(_PyThreadState_GET());

#endif

if (DECREF_KEYS(dk) == 1) {

if (DK_IS_UNICODE(dk)) {

PyDictUnicodeEntry *entries = DK_UNICODE_ENTRIES(dk);

Py_ssize_t i, n;

for (i = 0, n = dk->dk_nentries; i < n; i++) {

Py_XDECREF(entries[i].me_key);

Py_XDECREF(entries[i].me_value);

}

}

else {

PyDictKeyEntry *entries = DK_ENTRIES(dk);

Py_ssize_t i, n;

for (i = 0, n = dk->dk_nentries; i < n; i++) {

Py_XDECREF(entries[i].me_key);

Py_XDECREF(entries[i].me_value);

}

}

free_keys_object(dk, use_qsbr);

}

}

/* lookup indices. returns DKIX_EMPTY, DKIX_DUMMY, or ix >=0 */

static inline Py_ssize_t

dictkeys_get_index(const PyDictKeysObject *keys, Py_ssize_t i)

{

int log2size = DK_LOG_SIZE(keys);

Py_ssize_t ix;

if (log2size < 8) {

ix = LOAD_INDEX(keys, 8, i);

}

else if (log2size < 16) {

ix = LOAD_INDEX(keys, 16, i);

}

#if SIZEOF_VOID_P > 4

else if (log2size >= 32) {

ix = LOAD_INDEX(keys, 64, i);

}

#endif

else {

ix = LOAD_INDEX(keys, 32, i);

}

assert(ix >= DKIX_DUMMY);

return ix;

}

/* write to indices. */

static inline void

dictkeys_set_index(PyDictKeysObject *keys, Py_ssize_t i, Py_ssize_t ix)

{

int log2size = DK_LOG_SIZE(keys);

assert(ix >= DKIX_DUMMY);

assert(keys->dk_version == 0);

if (log2size < 8) {

assert(ix <= 0x7f);

STORE_INDEX(keys, 8, i, ix);

}

else if (log2size < 16) {

assert(ix <= 0x7fff);

STORE_INDEX(keys, 16, i, ix);

}

#if SIZEOF_VOID_P > 4

else if (log2size >= 32) {

STORE_INDEX(keys, 64, i, ix);

}

#endif

else {

assert(ix <= 0x7fffffff);

STORE_INDEX(keys, 32, i, ix);

}

}

/* USABLE_FRACTION is the maximum dictionary load.

* Increasing this ratio makes dictionaries more dense resulting in more

* collisions. Decreasing it improves sparseness at the expense of spreading

* indices over more cache lines and at the cost of total memory consumed.

*

* USABLE_FRACTION must obey the following:

* (0 < USABLE_FRACTION(n) < n) for all n >= 2

*

* USABLE_FRACTION should be quick to calculate.

* Fractions around 1/2 to 2/3 seem to work well in practice.

*/

#define USABLE_FRACTION(n) (((n) << 1)/3)

/* Find the smallest dk_size >= minsize. */

static inline uint8_t

calculate_log2_keysize(Py_ssize_t minsize)

{

#if SIZEOF_LONG == SIZEOF_SIZE_T

minsize = Py_MAX(minsize, PyDict_MINSIZE);

return _Py_bit_length(minsize - 1);

#elif defined(_MSC_VER)

// On 64bit Windows, sizeof(long) == 4. We cannot use _Py_bit_length.

minsize = Py_MAX(minsize, PyDict_MINSIZE);

unsigned long msb;

_BitScanReverse64(&msb, (uint64_t)minsize - 1);

return (uint8_t)(msb + 1);

#else

uint8_t log2_size;

for (log2_size = PyDict_LOG_MINSIZE;

(((Py_ssize_t)1) << log2_size) < minsize;

log2_size++)

;

return log2_size;

#endif

}

/* estimate_keysize is reverse function of USABLE_FRACTION.

*

* This can be used to reserve enough size to insert n entries without

* resizing.

*/

static inline uint8_t

estimate_log2_keysize(Py_ssize_t n)

{

return calculate_log2_keysize((n*3 + 1) / 2);

}

/* GROWTH_RATE. Growth rate upon hitting maximum load.

* Currently set to used*3.

* This means that dicts double in size when growing without deletions,

* but have more head room when the number of deletions is on a par with the

* number of insertions. See also bpo-17563 and bpo-33205.

*

* GROWTH_RATE was set to used*4 up to version 3.2.

* GROWTH_RATE was set to used*2 in version 3.3.0

* GROWTH_RATE was set to used*2 + capacity/2 in 3.4.0-3.6.0.

*/

#define GROWTH_RATE(d) ((d)->ma_used*3)

/* This immutable, empty PyDictKeysObject is used for PyDict_Clear()

* (which cannot fail and thus can do no allocation).

*

* See https://github.com/python/cpython/pull/127568#discussion_r1868070614

* for the rationale of using dk_log2_index_bytes=3 instead of 0.

*/

static PyDictKeysObject empty_keys_struct = {

_Py_DICT_IMMORTAL_INITIAL_REFCNT, /* dk_refcnt */

0, /* dk_log2_size */

3, /* dk_log2_index_bytes */

DICT_KEYS_UNICODE, /* dk_kind */

#ifdef Py_GIL_DISABLED

{0}, /* dk_mutex */

#endif

1, /* dk_version */

0, /* dk_usable (immutable) */

0, /* dk_nentries */

{DKIX_EMPTY, DKIX_EMPTY, DKIX_EMPTY, DKIX_EMPTY,

DKIX_EMPTY, DKIX_EMPTY, DKIX_EMPTY, DKIX_EMPTY}, /* dk_indices */

};

#define Py_EMPTY_KEYS &empty_keys_struct

/* Uncomment to check the dict content in _PyDict_CheckConsistency() */

// #define DEBUG_PYDICT

#ifdef DEBUG_PYDICT

# define ASSERT_CONSISTENT(op) assert(_PyDict_CheckConsistency((PyObject *)(op), 1))

#else

# define ASSERT_CONSISTENT(op) assert(_PyDict_CheckConsistency((PyObject *)(op), 0))

#endif

static inline int

get_index_from_order(PyDictObject *mp, Py_ssize_t i)

{

assert(mp->ma_used <= SHARED_KEYS_MAX_SIZE);

assert(i < mp->ma_values->size);

uint8_t *array = get_insertion_order_array(mp->ma_values);

return array[i];

}

#ifdef DEBUG_PYDICT

static void

dump_entries(PyDictKeysObject *dk)

{

for (Py_ssize_t i = 0; i < dk->dk_nentries; i++) {

if (DK_IS_UNICODE(dk)) {

PyDictUnicodeEntry *ep = &DK_UNICODE_ENTRIES(dk)[i];

printf("key=%p value=%p\n", ep->me_key, ep->me_value);

}

else {

PyDictKeyEntry *ep = &DK_ENTRIES(dk)[i];

printf("key=%p hash=%lx value=%p\n", ep->me_key, ep->me_hash, ep->me_value);

}

}

}

#endif

int

_PyDict_CheckConsistency(PyObject *op, int check_content)

{

ASSERT_WORLD_STOPPED_OR_DICT_LOCKED(op);

#define CHECK(expr) \

do { if (!(expr)) { _PyObject_ASSERT_FAILED_MSG(op, Py_STRINGIFY(expr)); } } while (0)

assert(op != NULL);

CHECK(PyAnyDict_Check(op));

PyDictObject *mp = (PyDictObject *)op;

PyDictKeysObject *keys = mp->ma_keys;

int splitted = _PyDict_HasSplitTable(mp);

Py_ssize_t usable = USABLE_FRACTION(DK_SIZE(keys));

// In the free-threaded build, shared keys may be concurrently modified,

// so use atomic loads.

Py_ssize_t dk_usable = FT_ATOMIC_LOAD_SSIZE_ACQUIRE(keys->dk_usable);

Py_ssize_t dk_nentries = FT_ATOMIC_LOAD_SSIZE_ACQUIRE(keys->dk_nentries);

CHECK(0 <= mp->ma_used && mp->ma_used <= usable);

CHECK(0 <= dk_usable && dk_usable <= usable);

CHECK(0 <= dk_nentries && dk_nentries <= usable);

CHECK(dk_usable + dk_nentries <= usable);

if (!splitted) {

/* combined table */

CHECK(keys->dk_kind != DICT_KEYS_SPLIT);

CHECK(keys->dk_refcnt == 1 || keys == Py_EMPTY_KEYS);

}

else {

CHECK(keys->dk_kind == DICT_KEYS_SPLIT);

CHECK(mp->ma_used <= SHARED_KEYS_MAX_SIZE);

if (mp->ma_values->embedded) {

CHECK(mp->ma_values->embedded == 1);

CHECK(mp->ma_values->valid == 1);

}

}

if (check_content) {

LOCK_KEYS_IF_SPLIT(keys, keys->dk_kind);

for (Py_ssize_t i=0; i < DK_SIZE(keys); i++) {

Py_ssize_t ix = dictkeys_get_index(keys, i);

CHECK(DKIX_DUMMY <= ix && ix <= usable);

}

if (keys->dk_kind == DICT_KEYS_GENERAL) {

PyDictKeyEntry *entries = DK_ENTRIES(keys);

for (Py_ssize_t i=0; i < usable; i++) {

PyDictKeyEntry *entry = &entries[i];

PyObject *key = entry->me_key;

if (key != NULL) {

/* test_dict fails if PyObject_Hash() is called again */

CHECK(entry->me_hash != -1);

CHECK(entry->me_value != NULL);

if (PyUnicode_CheckExact(key)) {

Py_hash_t hash = unicode_get_hash(key);

CHECK(entry->me_hash == hash);

}

}

}

}

else {

PyDictUnicodeEntry *entries = DK_UNICODE_ENTRIES(keys);

for (Py_ssize_t i=0; i < usable; i++) {

PyDictUnicodeEntry *entry = &entries[i];

PyObject *key = entry->me_key;

if (key != NULL) {

CHECK(PyUnicode_CheckExact(key));

Py_hash_t hash = unicode_get_hash(key);

CHECK(hash != -1);

if (!splitted) {

CHECK(entry->me_value != NULL);

}

}

if (splitted) {

CHECK(entry->me_value == NULL);

}

}

}

if (splitted) {

CHECK(mp->ma_used <= SHARED_KEYS_MAX_SIZE);

/* splitted table */

int duplicate_check = 0;

for (Py_ssize_t i=0; i < mp->ma_used; i++) {

int index = get_index_from_order(mp, i);

CHECK((duplicate_check & (1<<index)) == 0);

duplicate_check |= (1<<index);

CHECK(mp->ma_values->values[index] != NULL);

}

}

UNLOCK_KEYS_IF_SPLIT(keys, keys->dk_kind);

}

return 1;

#undef CHECK

}

static PyDictKeysObject*

new_keys_object(uint8_t log2_size, bool unicode)

{

Py_ssize_t usable;

int log2_bytes;

size_t entry_size = unicode ? sizeof(PyDictUnicodeEntry) : sizeof(PyDictKeyEntry);

assert(log2_size >= PyDict_LOG_MINSIZE);

usable = USABLE_FRACTION((size_t)1<<log2_size);

if (log2_size < 8) {

log2_bytes = log2_size;

}

else if (log2_size < 16) {

log2_bytes = log2_size + 1;

}

#if SIZEOF_VOID_P > 4

else if (log2_size >= 32) {

log2_bytes = log2_size + 3;

}

#endif

else {

log2_bytes = log2_size + 2;

}

PyDictKeysObject *dk = NULL;

if (log2_size == PyDict_LOG_MINSIZE && unicode) {

dk = _Py_FREELIST_POP_MEM(dictkeys);

}

if (dk == NULL) {

dk = PyMem_Malloc(sizeof(PyDictKeysObject)

+ ((size_t)1 << log2_bytes)

+ entry_size * usable);

if (dk == NULL) {

PyErr_NoMemory();

return NULL;

}

}

#ifdef Py_REF_DEBUG

_Py_IncRefTotal(_PyThreadState_GET());

#endif

dk->dk_refcnt = 1;

dk->dk_log2_size = log2_size;

dk->dk_log2_index_bytes = log2_bytes;

dk->dk_kind = unicode ? DICT_KEYS_UNICODE : DICT_KEYS_GENERAL;

#ifdef Py_GIL_DISABLED

dk->dk_mutex = (PyMutex){0};

#endif

dk->dk_nentries = 0;

dk->dk_usable = usable;

dk->dk_version = 0;

memset(&dk->dk_indices[0], 0xff, ((size_t)1 << log2_bytes));

memset(&dk->dk_indices[(size_t)1 << log2_bytes], 0, entry_size * usable);

return dk;

}

static void

free_keys_object(PyDictKeysObject *keys, bool use_qsbr)

{

#ifdef Py_GIL_DISABLED

if (use_qsbr) {

_PyMem_FreeDelayed(keys, _PyDict_KeysSize(keys));

return;

}

#endif

if (DK_LOG_SIZE(keys) == PyDict_LOG_MINSIZE && keys->dk_kind == DICT_KEYS_UNICODE) {

_Py_FREELIST_FREE(dictkeys, keys, PyMem_Free);

}

else {

PyMem_Free(keys);

}

}

static size_t

values_size_from_count(size_t count)

{

assert(count >= 1);

size_t suffix_size = _Py_SIZE_ROUND_UP(count, sizeof(PyObject *));

assert(suffix_size < 128);

assert(suffix_size % sizeof(PyObject *) == 0);

return (count + 1) * sizeof(PyObject *) + suffix_size;

}

#define CACHED_KEYS(tp) (((PyHeapTypeObject*)tp)->ht_cached_keys)

static inline PyDictValues*

new_values(size_t size)

{

size_t n = values_size_from_count(size);

PyDictValues *res = (PyDictValues *)PyMem_Malloc(n);

if (res == NULL) {

return NULL;

}

res->embedded = 0;

res->size = 0;

assert(size < 256);

res->capacity = (uint8_t)size;

return res;

}

static inline void

free_values(PyDictValues *values, bool use_qsbr)

{

assert(values->embedded == 0);

#ifdef Py_GIL_DISABLED

if (use_qsbr) {

_PyMem_FreeDelayed(values, values_size_from_count(values->capacity));

return;

}

#endif

PyMem_Free(values);

}

static inline PyObject *

new_dict_impl(PyDictObject *mp, PyDictKeysObject *keys,

PyDictValues *values, Py_ssize_t used,

int free_values_on_failure, int frozendict)

{

assert(keys != NULL);

if (mp == NULL) {

dictkeys_decref(keys, false);

if (free_values_on_failure) {

free_values(values, false);

}

return NULL;

}

mp->ma_keys = keys;

mp->ma_values = values;

mp->ma_used = used;

mp->_ma_watcher_tag = 0;

if (frozendict) {

((PyFrozenDictObject *)mp)->ma_hash = -1;

}

ASSERT_CONSISTENT(mp);

_PyObject_GC_TRACK(mp);

return (PyObject *)mp;

}

/* Consumes a reference to the keys object */

static PyObject *

new_dict(PyDictKeysObject *keys, PyDictValues *values,

Py_ssize_t used, int free_values_on_failure)

{

PyDictObject *mp = _Py_FREELIST_POP(PyDictObject, dicts);

if (mp == NULL) {

mp = PyObject_GC_New(PyDictObject, &PyDict_Type);

}

assert(mp == NULL || Py_IS_TYPE(mp, &PyDict_Type));

return new_dict_impl(mp, keys, values, used, free_values_on_failure, 0);

}

/* Consumes a reference to the keys object */

static PyObject *

new_frozendict(PyDictKeysObject *keys, PyDictValues *values,

Py_ssize_t used, int free_values_on_failure)

{

PyDictObject *mp = PyObject_GC_New(PyDictObject, &PyFrozenDict_Type);

return new_dict_impl(mp, keys, values, used, free_values_on_failure, 1);

}

static PyObject *

new_dict_with_shared_keys(PyDictKeysObject *keys)

{

size_t size = shared_keys_usable_size(keys);

PyDictValues *values = new_values(size);

if (values == NULL) {

return PyErr_NoMemory();

}

dictkeys_incref(keys);

for (size_t i = 0; i < size; i++) {

values->values[i] = NULL;

}

return new_dict(keys, values, 0, 1);

}

static PyDictKeysObject *

clone_combined_dict_keys(PyDictObject *orig)

{

assert(PyAnyDict_Check(orig));

assert(Py_TYPE(orig)->tp_iter == dict_iter);

assert(orig->ma_values == NULL);

assert(orig->ma_keys != Py_EMPTY_KEYS);

assert(orig->ma_keys->dk_refcnt == 1);

if (!PyFrozenDict_Check(orig)) {

ASSERT_DICT_LOCKED(orig);

}

size_t keys_size = _PyDict_KeysSize(orig->ma_keys);

PyDictKeysObject *keys = PyMem_Malloc(keys_size);

if (keys == NULL) {

PyErr_NoMemory();

return NULL;

}

memcpy(keys, orig->ma_keys, keys_size);

/* After copying key/value pairs, we need to incref all

keys and values and they are about to be co-owned by a

new dict object. */

PyObject **pkey, **pvalue;

size_t offs;

if (DK_IS_UNICODE(orig->ma_keys)) {

PyDictUnicodeEntry *ep0 = DK_UNICODE_ENTRIES(keys);

pkey = &ep0->me_key;

pvalue = &ep0->me_value;

offs = sizeof(PyDictUnicodeEntry) / sizeof(PyObject*);

}

else {

PyDictKeyEntry *ep0 = DK_ENTRIES(keys);