[2] | 1 | #ifndef Py_DICTOBJECT_H
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| 2 | #define Py_DICTOBJECT_H
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| 3 | #ifdef __cplusplus
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| 4 | extern "C" {
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| 5 | #endif
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| 6 |
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| 7 |
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| 8 | /* Dictionary object type -- mapping from hashable object to object */
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| 9 |
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| 10 | /* The distribution includes a separate file, Objects/dictnotes.txt,
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| 11 | describing explorations into dictionary design and optimization.
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| 12 | It covers typical dictionary use patterns, the parameters for
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| 13 | tuning dictionaries, and several ideas for possible optimizations.
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| 14 | */
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| 15 |
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| 16 | /*
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| 17 | There are three kinds of slots in the table:
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| 18 |
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| 19 | 1. Unused. me_key == me_value == NULL
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| 20 | Does not hold an active (key, value) pair now and never did. Unused can
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| 21 | transition to Active upon key insertion. This is the only case in which
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| 22 | me_key is NULL, and is each slot's initial state.
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| 23 |
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| 24 | 2. Active. me_key != NULL and me_key != dummy and me_value != NULL
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| 25 | Holds an active (key, value) pair. Active can transition to Dummy upon
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| 26 | key deletion. This is the only case in which me_value != NULL.
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| 27 |
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| 28 | 3. Dummy. me_key == dummy and me_value == NULL
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| 29 | Previously held an active (key, value) pair, but that was deleted and an
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| 30 | active pair has not yet overwritten the slot. Dummy can transition to
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| 31 | Active upon key insertion. Dummy slots cannot be made Unused again
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| 32 | (cannot have me_key set to NULL), else the probe sequence in case of
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| 33 | collision would have no way to know they were once active.
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| 34 |
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| 35 | Note: .popitem() abuses the me_hash field of an Unused or Dummy slot to
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| 36 | hold a search finger. The me_hash field of Unused or Dummy slots has no
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| 37 | meaning otherwise.
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| 38 | */
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| 39 |
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| 40 | /* PyDict_MINSIZE is the minimum size of a dictionary. This many slots are
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| 41 | * allocated directly in the dict object (in the ma_smalltable member).
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| 42 | * It must be a power of 2, and at least 4. 8 allows dicts with no more
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| 43 | * than 5 active entries to live in ma_smalltable (and so avoid an
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| 44 | * additional malloc); instrumentation suggested this suffices for the
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| 45 | * majority of dicts (consisting mostly of usually-small instance dicts and
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| 46 | * usually-small dicts created to pass keyword arguments).
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| 47 | */
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| 48 | #define PyDict_MINSIZE 8
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| 49 |
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| 50 | typedef struct {
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[391] | 51 | /* Cached hash code of me_key. Note that hash codes are C longs.
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| 52 | * We have to use Py_ssize_t instead because dict_popitem() abuses
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| 53 | * me_hash to hold a search finger.
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| 54 | */
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| 55 | Py_ssize_t me_hash;
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| 56 | PyObject *me_key;
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| 57 | PyObject *me_value;
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[2] | 58 | } PyDictEntry;
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| 59 |
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| 60 | /*
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| 61 | To ensure the lookup algorithm terminates, there must be at least one Unused
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| 62 | slot (NULL key) in the table.
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| 63 | The value ma_fill is the number of non-NULL keys (sum of Active and Dummy);
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| 64 | ma_used is the number of non-NULL, non-dummy keys (== the number of non-NULL
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| 65 | values == the number of Active items).
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| 66 | To avoid slowing down lookups on a near-full table, we resize the table when
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| 67 | it's two-thirds full.
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| 68 | */
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| 69 | typedef struct _dictobject PyDictObject;
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| 70 | struct _dictobject {
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[391] | 71 | PyObject_HEAD
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| 72 | Py_ssize_t ma_fill; /* # Active + # Dummy */
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| 73 | Py_ssize_t ma_used; /* # Active */
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[2] | 74 |
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[391] | 75 | /* The table contains ma_mask + 1 slots, and that's a power of 2.
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| 76 | * We store the mask instead of the size because the mask is more
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| 77 | * frequently needed.
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| 78 | */
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| 79 | Py_ssize_t ma_mask;
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[2] | 80 |
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[391] | 81 | /* ma_table points to ma_smalltable for small tables, else to
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| 82 | * additional malloc'ed memory. ma_table is never NULL! This rule
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| 83 | * saves repeated runtime null-tests in the workhorse getitem and
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| 84 | * setitem calls.
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| 85 | */
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| 86 | PyDictEntry *ma_table;
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| 87 | PyDictEntry *(*ma_lookup)(PyDictObject *mp, PyObject *key, long hash);
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| 88 | PyDictEntry ma_smalltable[PyDict_MINSIZE];
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[2] | 89 | };
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| 90 |
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| 91 | PyAPI_DATA(PyTypeObject) PyDict_Type;
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[391] | 92 | PyAPI_DATA(PyTypeObject) PyDictIterKey_Type;
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| 93 | PyAPI_DATA(PyTypeObject) PyDictIterValue_Type;
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| 94 | PyAPI_DATA(PyTypeObject) PyDictIterItem_Type;
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| 95 | PyAPI_DATA(PyTypeObject) PyDictKeys_Type;
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| 96 | PyAPI_DATA(PyTypeObject) PyDictItems_Type;
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| 97 | PyAPI_DATA(PyTypeObject) PyDictValues_Type;
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[2] | 98 |
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| 99 | #define PyDict_Check(op) \
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| 100 | PyType_FastSubclass(Py_TYPE(op), Py_TPFLAGS_DICT_SUBCLASS)
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| 101 | #define PyDict_CheckExact(op) (Py_TYPE(op) == &PyDict_Type)
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[391] | 102 | #define PyDictKeys_Check(op) (Py_TYPE(op) == &PyDictKeys_Type)
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| 103 | #define PyDictItems_Check(op) (Py_TYPE(op) == &PyDictItems_Type)
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| 104 | #define PyDictValues_Check(op) (Py_TYPE(op) == &PyDictValues_Type)
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| 105 | /* This excludes Values, since they are not sets. */
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| 106 | # define PyDictViewSet_Check(op) \
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| 107 | (PyDictKeys_Check(op) || PyDictItems_Check(op))
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[2] | 108 |
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| 109 | PyAPI_FUNC(PyObject *) PyDict_New(void);
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| 110 | PyAPI_FUNC(PyObject *) PyDict_GetItem(PyObject *mp, PyObject *key);
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| 111 | PyAPI_FUNC(int) PyDict_SetItem(PyObject *mp, PyObject *key, PyObject *item);
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| 112 | PyAPI_FUNC(int) PyDict_DelItem(PyObject *mp, PyObject *key);
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| 113 | PyAPI_FUNC(void) PyDict_Clear(PyObject *mp);
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| 114 | PyAPI_FUNC(int) PyDict_Next(
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[391] | 115 | PyObject *mp, Py_ssize_t *pos, PyObject **key, PyObject **value);
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[2] | 116 | PyAPI_FUNC(int) _PyDict_Next(
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[391] | 117 | PyObject *mp, Py_ssize_t *pos, PyObject **key, PyObject **value, long *hash);
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[2] | 118 | PyAPI_FUNC(PyObject *) PyDict_Keys(PyObject *mp);
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| 119 | PyAPI_FUNC(PyObject *) PyDict_Values(PyObject *mp);
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| 120 | PyAPI_FUNC(PyObject *) PyDict_Items(PyObject *mp);
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| 121 | PyAPI_FUNC(Py_ssize_t) PyDict_Size(PyObject *mp);
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| 122 | PyAPI_FUNC(PyObject *) PyDict_Copy(PyObject *mp);
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| 123 | PyAPI_FUNC(int) PyDict_Contains(PyObject *mp, PyObject *key);
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| 124 | PyAPI_FUNC(int) _PyDict_Contains(PyObject *mp, PyObject *key, long hash);
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| 125 | PyAPI_FUNC(PyObject *) _PyDict_NewPresized(Py_ssize_t minused);
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[391] | 126 | PyAPI_FUNC(void) _PyDict_MaybeUntrack(PyObject *mp);
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[2] | 127 |
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| 128 | /* PyDict_Update(mp, other) is equivalent to PyDict_Merge(mp, other, 1). */
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| 129 | PyAPI_FUNC(int) PyDict_Update(PyObject *mp, PyObject *other);
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| 130 |
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| 131 | /* PyDict_Merge updates/merges from a mapping object (an object that
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| 132 | supports PyMapping_Keys() and PyObject_GetItem()). If override is true,
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| 133 | the last occurrence of a key wins, else the first. The Python
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| 134 | dict.update(other) is equivalent to PyDict_Merge(dict, other, 1).
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| 135 | */
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| 136 | PyAPI_FUNC(int) PyDict_Merge(PyObject *mp,
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[391] | 137 | PyObject *other,
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| 138 | int override);
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[2] | 139 |
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| 140 | /* PyDict_MergeFromSeq2 updates/merges from an iterable object producing
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| 141 | iterable objects of length 2. If override is true, the last occurrence
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| 142 | of a key wins, else the first. The Python dict constructor dict(seq2)
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| 143 | is equivalent to dict={}; PyDict_MergeFromSeq(dict, seq2, 1).
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| 144 | */
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| 145 | PyAPI_FUNC(int) PyDict_MergeFromSeq2(PyObject *d,
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[391] | 146 | PyObject *seq2,
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| 147 | int override);
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[2] | 148 |
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| 149 | PyAPI_FUNC(PyObject *) PyDict_GetItemString(PyObject *dp, const char *key);
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| 150 | PyAPI_FUNC(int) PyDict_SetItemString(PyObject *dp, const char *key, PyObject *item);
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| 151 | PyAPI_FUNC(int) PyDict_DelItemString(PyObject *dp, const char *key);
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| 152 |
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| 153 | #ifdef __cplusplus
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| 154 | }
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| 155 | #endif
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| 156 | #endif /* !Py_DICTOBJECT_H */
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