/usr/include/python2.6
NameSizeModeActions
abstract.h446310644editdlrm
asdl.h10990644editdlrm
ast.h2300644editdlrm
bitset.h7920644editdlrm
boolobject.h9120644editdlrm
bufferobject.h9220644editdlrm
bytearrayobject.h19410644editdlrm
bytesobject.h14580644editdlrm
bytes_methods.h32690644editdlrm
cellobject.h6510644editdlrm
ceval.h51190644editdlrm
classobject.h29390644editdlrm
cobject.h18790644editdlrm
code.h35240644editdlrm
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compile.h11570644editdlrm
complexobject.h15360644editdlrm
cStringIO.h20010644editdlrm
datetime.h86270644editdlrm
descrobject.h24800644editdlrm
dictobject.h59700644editdlrm
enumobject.h2530644editdlrm
errcode.h13630644editdlrm
eval.h5570644editdlrm
fileobject.h29180644editdlrm
floatobject.h50600644editdlrm
frameobject.h29230644editdlrm
funcobject.h29950644editdlrm
genobject.h8910644editdlrm
graminit.h19080644editdlrm
grammar.h20210644editdlrm
import.h22150644editdlrm
intobject.h27360644editdlrm
intrcheck.h2740644editdlrm
iterobject.h5220644editdlrm
listobject.h25130644editdlrm
longintrepr.h23180644editdlrm
longobject.h55840644editdlrm
marshal.h7130644editdlrm
metagrammar.h2530644editdlrm
methodobject.h32380644editdlrm
modsupport.h53690644editdlrm
moduleobject.h6090644editdlrm
node.h8900644editdlrm
object.h373940644editdlrm
objimpl.h130870644editdlrm
opcode.h43410644editdlrm
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parsetok.h17800644editdlrm
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pgen.h2530644editdlrm
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pyarena.h26930644editdlrm
pyconfig-32.h312410644editdlrm
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pyconfig.h1620644editdlrm
pyctype.h10720644editdlrm
pydebug.h13220644editdlrm
pydtrace.h13490644editdlrm
pyerrors.h117160644editdlrm
pyexpat.h19570644editdlrm
pyfpe.h84950644editdlrm
pygetopt.h3480644editdlrm
pymacconfig.h24850644editdlrm
pymactoolbox.h79430644editdlrm
pymath.h66140644editdlrm
pymem.h46820644editdlrm
pyport.h247780644editdlrm
pystate.h63330644editdlrm
pystrcmp.h4630644editdlrm
pystrtod.h3590644editdlrm
Python-ast.h200810644editdlrm
Python.h42940644editdlrm
pythonrun.h71080644editdlrm
pythread.h14470644editdlrm
py_curses.h43880644editdlrm
rangeobject.h6460644editdlrm
setobject.h30770644editdlrm
sliceobject.h13310644editdlrm
stringobject.h78760644editdlrm
structmember.h29010644editdlrm
structseq.h8620644editdlrm
symtable.h40580644editdlrm
sysmodule.h9160644editdlrm
timefuncs.h4420644editdlrm
token.h17100644editdlrm
traceback.h6970644editdlrm
tupleobject.h21230644editdlrm
ucnhash.h8610644editdlrm
unicodeobject.h523040644editdlrm
warnings.h6350644editdlrm
weakrefobject.h24280644editdlrm
Edit: /usr/include/python2.6/dictobject.h (5970B)
#ifndef Py_DICTOBJECT_H #define Py_DICTOBJECT_H #ifdef __cplusplus extern "C" { #endif /* Dictionary object type -- mapping from hashable object to object */ /* 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. */ /* There are three kinds of slots in the table: 1. Unused. me_key == me_value == NULL Does not hold an active (key, value) pair now and never did. Unused can transition to Active upon key insertion. This is the only case in which me_key is NULL, and is each slot's initial state. 2. Active. me_key != NULL and me_key != dummy and me_value != NULL Holds an active (key, value) pair. Active can transition to Dummy upon key deletion. This is the only case in which me_value != NULL. 3. Dummy. me_key == dummy and me_value == NULL 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 (cannot have me_key set to NULL), else the probe sequence in case of collision would have no way to know they were once active. Note: .popitem() abuses the me_hash field of an Unused or Dummy slot to hold a search finger. The me_hash field of Unused or Dummy slots has no meaning otherwise. */ /* PyDict_MINSIZE is the minimum size of a dictionary. This many slots are * allocated directly in the dict object (in the ma_smalltable member). * It must be a power of 2, and at least 4. 8 allows dicts with no more * than 5 active entries to live in ma_smalltable (and so avoid an * additional malloc); instrumentation suggested this suffices for the * majority of dicts (consisting mostly of usually-small instance dicts and * usually-small dicts created to pass keyword arguments). */ #define PyDict_MINSIZE 8 typedef struct { /* Cached hash code of me_key. Note that hash codes are C longs. * We have to use Py_ssize_t instead because dict_popitem() abuses * me_hash to hold a search finger. */ Py_ssize_t me_hash; PyObject *me_key; PyObject *me_value; } PyDictEntry; /* To ensure the lookup algorithm terminates, there must be at least one Unused slot (NULL key) in the table. The value ma_fill is the number of non-NULL keys (sum of Active and Dummy); ma_used is the number of non-NULL, non-dummy keys (== the number of non-NULL values == the number of Active items). To avoid slowing down lookups on a near-full table, we resize the table when it's two-thirds full. */ typedef struct _dictobject PyDictObject; struct _dictobject { PyObject_HEAD Py_ssize_t ma_fill; /* # Active + # Dummy */ Py_ssize_t ma_used; /* # Active */ /* The table contains ma_mask + 1 slots, and that's a power of 2. * We store the mask instead of the size because the mask is more * frequently needed. */ Py_ssize_t ma_mask; /* ma_table points to ma_smalltable for small tables, else to * additional malloc'ed memory. ma_table is never NULL! This rule * saves repeated runtime null-tests in the workhorse getitem and * setitem calls. */ PyDictEntry *ma_table; PyDictEntry *(*ma_lookup)(PyDictObject *mp, PyObject *key, long hash); PyDictEntry ma_smalltable[PyDict_MINSIZE]; }; PyAPI_DATA(PyTypeObject) PyDict_Type; #define PyDict_Check(op) \ PyType_FastSubclass(Py_TYPE(op), Py_TPFLAGS_DICT_SUBCLASS) #define PyDict_CheckExact(op) (Py_TYPE(op) == &PyDict_Type) PyAPI_FUNC(PyObject *) PyDict_New(void); PyAPI_FUNC(PyObject *) PyDict_GetItem(PyObject *mp, PyObject *key); PyAPI_FUNC(int) PyDict_SetItem(PyObject *mp, PyObject *key, PyObject *item); PyAPI_FUNC(int) PyDict_DelItem(PyObject *mp, PyObject *key); PyAPI_FUNC(void) PyDict_Clear(PyObject *mp); PyAPI_FUNC(int) PyDict_Next( PyObject *mp, Py_ssize_t *pos, PyObject **key, PyObject **value); PyAPI_FUNC(int) _PyDict_Next( PyObject *mp, Py_ssize_t *pos, PyObject **key, PyObject **value, long *hash); PyAPI_FUNC(PyObject *) PyDict_Keys(PyObject *mp); PyAPI_FUNC(PyObject *) PyDict_Values(PyObject *mp); PyAPI_FUNC(PyObject *) PyDict_Items(PyObject *mp); PyAPI_FUNC(Py_ssize_t) PyDict_Size(PyObject *mp); PyAPI_FUNC(PyObject *) PyDict_Copy(PyObject *mp); PyAPI_FUNC(int) PyDict_Contains(PyObject *mp, PyObject *key); PyAPI_FUNC(int) _PyDict_Contains(PyObject *mp, PyObject *key, long hash); PyAPI_FUNC(PyObject *) _PyDict_NewPresized(Py_ssize_t minused); /* PyDict_Update(mp, other) is equivalent to PyDict_Merge(mp, other, 1). */ PyAPI_FUNC(int) PyDict_Update(PyObject *mp, PyObject *other); /* PyDict_Merge updates/merges from a mapping object (an object that supports PyMapping_Keys() and PyObject_GetItem()). If override is true, the last occurrence of a key wins, else the first. The Python dict.update(other) is equivalent to PyDict_Merge(dict, other, 1). */ PyAPI_FUNC(int) PyDict_Merge(PyObject *mp, PyObject *other, int override); /* PyDict_MergeFromSeq2 updates/merges from an iterable object producing iterable objects of length 2. If override is true, the last occurrence of a key wins, else the first. The Python dict constructor dict(seq2) is equivalent to dict={}; PyDict_MergeFromSeq(dict, seq2, 1). */ PyAPI_FUNC(int) PyDict_MergeFromSeq2(PyObject *d, PyObject *seq2, int override); PyAPI_FUNC(PyObject *) PyDict_GetItemString(PyObject *dp, const char *key); PyAPI_FUNC(int) PyDict_SetItemString(PyObject *dp, const char *key, PyObject *item); PyAPI_FUNC(int) PyDict_DelItemString(PyObject *dp, const char *key); #ifdef __cplusplus } #endif #endif /* !Py_DICTOBJECT_H */