/* Dictionary object implementation using a hash table */ #include "Python.h" typedef PyDictEntry dictentry; typedef PyDictObject dictobject; /* Define this out if you don't want conversion statistics on exit. */ #undef SHOW_CONVERSION_COUNTS /* See large comment block below. This must be >= 1. */ #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 strings and ints) are very regular in common cases: >>> map(hash, (0, 1, 2, 3)) [0, 1, 2, 3] >>> map(hash, ("namea", "nameb", "namec", "named")) [-1658398457, -1658398460, -1658398459, -1658398462] >>> 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. The same is approximately true when keys are "consecutive" strings. 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 [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: j = (5*j) + 1 + perturb; perturb >>= PERTURB_SHIFT; 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 dictobject 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. */ /* Object used as dummy key to fill deleted entries */ static PyObject *dummy; /* Initialized by first call to newdictobject() */ /* forward declarations */ static dictentry * lookdict_string(dictobject *mp, PyObject *key, long hash); #ifdef SHOW_CONVERSION_COUNTS static long created = 0L; static long converted = 0L; static void show_counts(void) { fprintf(stderr, "created %ld string dicts\n", created); fprintf(stderr, "converted %ld to normal dicts\n", converted); fprintf(stderr, "%.2f%% conversion rate\n", (100.0*converted)/created); } #endif /* Initialization macros. There are two ways to create a dict: PyDict_New() is the main C API function, and the tp_new slot maps to dict_new(). In the latter case we can save a little time over what PyDict_New does because it's guaranteed that the PyDictObject struct is already zeroed out. Everyone except dict_new() should use EMPTY_TO_MINSIZE (unless they have an excellent reason not to). */ #define INIT_NONZERO_DICT_SLOTS(mp) do { \ (mp)->ma_table = (mp)->ma_smalltable; \ (mp)->ma_mask = PyDict_MINSIZE - 1; \ } while(0) #define EMPTY_TO_MINSIZE(mp) do { \ memset((mp)->ma_smalltable, 0, sizeof((mp)->ma_smalltable)); \ (mp)->ma_used = (mp)->ma_fill = 0; \ INIT_NONZERO_DICT_SLOTS(mp); \ } while(0) PyObject * PyDict_New(void) { register dictobject *mp; if (dummy == NULL) { /* Auto-initialize dummy */ dummy = PyString_FromString(""); if (dummy == NULL) return NULL; #ifdef SHOW_CONVERSION_COUNTS Py_AtExit(show_counts); #endif } mp = PyObject_GC_New(dictobject, &PyDict_Type); if (mp == NULL) return NULL; EMPTY_TO_MINSIZE(mp); mp->ma_lookup = lookdict_string; #ifdef SHOW_CONVERSION_COUNTS ++created; #endif _PyObject_GC_TRACK(mp); return (PyObject *)mp; } /* The basic lookup function used by all operations. This is based on Algorithm D from Knuth Vol. 3, Sec. 6.4. Open addressing is preferred over chaining since the link overhead for chaining would be substantial (100% with typical malloc overhead). The initial probe index is computed as hash mod the table size. Subsequent probe indices are computed as explained earlier. All arithmetic on hash should ignore overflow. (The details in this version are due to Tim Peters, building on many past contributions by Reimer Behrends, Jyrki Alakuijala, Vladimir Marangozov and Christian Tismer). This function must never return NULL; failures are indicated by returning a dictentry* for which the me_value field is NULL. Exceptions are never reported by this function, and outstanding exceptions are maintained. */ static dictentry * lookdict(dictobject *mp, PyObject *key, register long hash) { register int i; register unsigned int perturb; register dictentry *freeslot; register unsigned int mask = mp->ma_mask; dictentry *ep0 = mp->ma_table; register dictentry *ep; register int restore_error; register int checked_error; register int cmp; PyObject *err_type, *err_value, *err_tb; PyObject *startkey; i = hash & mask; ep = &ep0[i]; if (ep->me_key == NULL || ep->me_key == key) return ep; restore_error = checked_error = 0; if (ep->me_key == dummy) freeslot = ep; else { if (ep->me_hash == hash) { /* error can't have been checked yet */ checked_error = 1; if (PyErr_Occurred()) { restore_error = 1; PyErr_Fetch(&err_type, &err_value, &err_tb); } startkey = ep->me_key; cmp = PyObject_RichCompareBool(startkey, key, Py_EQ); if (cmp < 0) PyErr_Clear(); if (ep0 == mp->ma_table && ep->me_key == startkey) { if (cmp > 0) goto Done; } else { /* The compare did major nasty stuff to the * dict: start over. * XXX A clever adversary could prevent this * XXX from terminating. */ ep = lookdict(mp, key, hash); goto Done; } } freeslot = NULL; } /* In the loop, me_key == dummy is by far (factor of 100s) the least likely outcome, so test for that last. */ for (perturb = hash; ; perturb >>= PERTURB_SHIFT) { i = (i << 2) + i + perturb + 1; ep = &ep0[i & mask]; if (ep->me_key == NULL) { if (freeslot != NULL) ep = freeslot; break; } if (ep->me_key == key) break; if (ep->me_hash == hash && ep->me_key != dummy) { if (!checked_error) { checked_error = 1; if (PyErr_Occurred()) { restore_error = 1; PyErr_Fetch(&err_type, &err_value, &err_tb); } } startkey = ep->me_key; cmp = PyObject_RichCompareBool(startkey, key, Py_EQ); if (cmp < 0) PyErr_Clear(); if (ep0 == mp->ma_table && ep->me_key == startkey) { if (cmp > 0) break; } else { /* The compare did major nasty stuff to the * dict: start over. * XXX A clever adversary could prevent this * XXX from terminating. */ ep = lookdict(mp, key, hash); break; } } else if (ep->me_key == dummy && freeslot == NULL) freeslot = ep; } Done: if (restore_error) PyErr_Restore(err_type, err_value, err_tb); return ep; } /* * Hacked up version of lookdict which can assume keys are always strings; * this assumption allows testing for errors during PyObject_Compare() to * be dropped; string-string comparisons never raise exceptions. This also * means we don't need to go through PyObject_Compare(); we can always use * _PyString_Eq directly. * * This is valuable because the general-case error handling in lookdict() is * expensive, and dicts with pure-string keys are very common. */ static dictentry * lookdict_string(dictobject *mp, PyObject *key, register long hash) { register int i; register unsigned int perturb; register dictentry *freeslot; register unsigned int mask = mp->ma_mask; dictentry *ep0 = mp->ma_table; register dictentry *ep; /* Make sure this function doesn't have to handle non-string keys, including subclasses of str; e.g., one reason to subclass strings is to override __eq__, and for speed we don't cater to that here. */ if (!PyString_CheckExact(key)) { #ifdef SHOW_CONVERSION_COUNTS ++converted; #endif mp->ma_lookup = lookdict; return lookdict(mp, key, hash); } i = hash & mask; ep = &ep0[i]; if (ep->me_key == NULL || ep->me_key == key) return ep; if (ep->me_key == dummy) freeslot = ep; else { if (ep->me_hash == hash && _PyString_Eq(ep->me_key, key)) { return ep; } freeslot = NULL; } /* In the loop, me_key == dummy is by far (factor of 100s) the least likely outcome, so test for that last. */ for (perturb = hash; ; perturb >>= PERTURB_SHIFT) { i = (i << 2) + i + perturb + 1; ep = &ep0[i & mask]; if (ep->me_key == NULL) return freeslot == NULL ? ep : freeslot; if (ep->me_key == key || (ep->me_hash == hash && ep->me_key != dummy && _PyString_Eq(ep->me_key, key))) return ep; if (ep->me_key == dummy && freeslot == NULL) freeslot = ep; } } /* Internal routine to insert a new item into the table. Used both by the internal resize routine and by the public insert routine. Eats a reference to key and one to value. */ static void insertdict(register dictobject *mp, PyObject *key, long hash, PyObject *value) { PyObject *old_value; register dictentry *ep; typedef PyDictEntry *(*lookupfunc)(PyDictObject *, PyObject *, long); assert(mp->ma_lookup != NULL); ep = mp->ma_lookup(mp, key, hash); if (ep->me_value != NULL) { old_value = ep->me_value; ep->me_value = value; Py_DECREF(old_value); /* which **CAN** re-enter */ Py_DECREF(key); } else { if (ep->me_key == NULL) mp->ma_fill++; else Py_DECREF(ep->me_key); ep->me_key = key; ep->me_hash = hash; ep->me_value = value; mp->ma_used++; } } /* Restructure the table by allocating a new table and reinserting all items again. When entries have been deleted, the new table may actually be smaller than the old one. */ static int dictresize(dictobject *mp, int minused) { int newsize; dictentry *oldtable, *newtable, *ep; int i; int is_oldtable_malloced; dictentry small_copy[PyDict_MINSIZE]; assert(minused >= 0); /* Find the smallest table size > minused. */ for (newsize = PyDict_MINSIZE; newsize <= minused && newsize > 0; newsize <<= 1) ; if (newsize <= 0) { PyErr_NoMemory(); return -1; } /* Get space for a new table. */ oldtable = mp->ma_table; assert(oldtable != NULL); is_oldtable_malloced = oldtable != mp->ma_smalltable; if (newsize == PyDict_MINSIZE) { /* A large table is shrinking, or we can't get any smaller. */ newtable = mp->ma_smalltable; if (newtable == oldtable) { if (mp->ma_fill == mp->ma_used) { /* No dummies, so no point doing anything. */ return 0; } /* We're not going to resize it, but rebuild the table anyway to purge old dummy entries. Subtle: This is *necessary* if fill==size, as lookdict needs at least one virgin slot to terminate failing searches. If fill < size, it's merely desirable, as dummies slow searches. */ assert(mp->ma_fill > mp->ma_used); memcpy(small_copy, oldtable, sizeof(small_copy)); oldtable = small_copy; } } else { newtable = PyMem_NEW(dictentry, newsize); if (newtable == NULL) { PyErr_NoMemory(); return -1; } } /* Make the dict empty, using the new table. */ assert(newtable != oldtable); mp->ma_table = newtable; mp->ma_mask = newsize - 1; memset(newtable, 0, sizeof(dictentry) * newsize); mp->ma_used = 0; i = mp->ma_fill; mp->ma_fill = 0; /* Copy the data over; this is refcount-neutral for active entries; dummy entries aren't copied over, of course */ for (ep = oldtable; i > 0; ep++) { if (ep->me_value != NULL) { /* active entry */ --i; insertdict(mp, ep->me_key, ep->me_hash, ep->me_value); } else if (ep->me_key != NULL) { /* dummy entry */ --i; assert(ep->me_key == dummy); Py_DECREF(ep->me_key); } /* else key == value == NULL: nothing to do */ } if (is_oldtable_malloced) PyMem_DEL(oldtable); return 0; } PyObject * PyDict_GetItem(PyObject *op, PyObject *key) { long hash; dictobject *mp = (dictobject *)op; if (!PyDict_Check(op)) { return NULL; } #ifdef CACHE_HASH if (!PyString_CheckExact(key) || (hash = ((PyStringObject *) key)->ob_shash) == -1) #endif { hash = PyObject_Hash(key); if (hash == -1) { PyErr_Clear(); return NULL; } } return (mp->ma_lookup)(mp, key, hash)->me_value; } /* CAUTION: PyDict_SetItem() must guarantee that it won't resize the * dictionary if it is merely replacing the value for an existing key. * This is means that it's safe to loop over a dictionary with * PyDict_Next() and occasionally replace a value -- but you can't * insert new keys or remove them. */ int PyDict_SetItem(register PyObject *op, PyObject *key, PyObject *value) { register dictobject *mp; register long hash; register int n_used; if (!PyDict_Check(op)) { PyErr_BadInternalCall(); return -1; } mp = (dictobject *)op; #ifdef CACHE_HASH if (PyString_CheckExact(key)) { #ifdef INTERN_STRINGS if (((PyStringObject *)key)->ob_sinterned != NULL) { key = ((PyStringObject *)key)->ob_sinterned; hash = ((PyStringObject *)key)->ob_shash; } else #endif { hash = ((PyStringObject *)key)->ob_shash; if (hash == -1) hash = PyObject_Hash(key); } } else #endif { hash = PyObject_Hash(key); if (hash == -1) return -1; } assert(mp->ma_fill <= mp->ma_mask); /* at least one empty slot */ n_used = mp->ma_used; Py_INCREF(value); Py_INCREF(key); insertdict(mp, key, hash, value); /* If we added a key, we can safely resize. Otherwise skip this! * If fill >= 2/3 size, adjust size. Normally, this doubles the * size, but it's also possible for the dict to shrink (if ma_fill is * much larger than ma_used, meaning a lot of dict keys have been * deleted). */ if (mp->ma_used > n_used && mp->ma_fill*3 >= (mp->ma_mask+1)*2) { if (dictresize(mp, mp->ma_used*2) != 0) return -1; } return 0; } int PyDict_DelItem(PyObject *op, PyObject *key) { register dictobject *mp; register long hash; register dictentry *ep; PyObject *old_value, *old_key; if (!PyDict_Check(op)) { PyErr_BadInternalCall(); return -1; } #ifdef CACHE_HASH if (!PyString_CheckExact(key) || (hash = ((PyStringObject *) key)->ob_shash) == -1) #endif { hash = PyObject_Hash(key); if (hash == -1) return -1; } mp = (dictobject *)op; ep = (mp->ma_lookup)(mp, key, hash); if (ep->me_value == NULL) { PyErr_SetObject(PyExc_KeyError, key); return -1; } old_key = ep->me_key; Py_INCREF(dummy); ep->me_key = dummy; old_value = ep->me_value; ep->me_value = NULL; mp->ma_used--; Py_DECREF(old_value); Py_DECREF(old_key); return 0; } void PyDict_Clear(PyObject *op) { dictobject *mp; dictentry *ep, *table; int table_is_malloced; int fill; dictentry small_copy[PyDict_MINSIZE]; #ifdef Py_DEBUG int i, n; #endif if (!PyDict_Check(op)) return; mp = (dictobject *)op; #ifdef Py_DEBUG n = mp->ma_mask + 1; i = 0; #endif table = mp->ma_table; assert(table != NULL); table_is_malloced = table != mp->ma_smalltable; /* This is delicate. During the process of clearing the dict, * decrefs can cause the dict to mutate. To avoid fatal confusion * (voice of experience), we have to make the dict empty before * clearing the slots, and never refer to anything via mp->xxx while * clearing. */ fill = mp->ma_fill; if (table_is_malloced) EMPTY_TO_MINSIZE(mp); else if (fill > 0) { /* It's a small table with something that needs to be cleared. * Afraid the only safe way is to copy the dict entries into * another small table first. */ memcpy(small_copy, table, sizeof(small_copy)); table = small_copy; EMPTY_TO_MINSIZE(mp); } /* else it's a small table that's already empty */ /* Now we can finally clear things. If C had refcounts, we could * assert that the refcount on table is 1 now, i.e. that this function * has unique access to it, so decref side-effects can't alter it. */ for (ep = table; fill > 0; ++ep) { #ifdef Py_DEBUG assert(i < n); ++i; #endif if (ep->me_key) { --fill; Py_DECREF(ep->me_key); Py_XDECREF(ep->me_value); } #ifdef Py_DEBUG else assert(ep->me_value == NULL); #endif } if (table_is_malloced) PyMem_DEL(table); } /* CAUTION: In general, it isn't safe to use PyDict_Next in a loop that * mutates the dict. One exception: it is safe if the loop merely changes * the values associated with the keys (but doesn't insert new keys or * delete keys), via PyDict_SetItem(). */ int PyDict_Next(PyObject *op, int *ppos, PyObject **pkey, PyObject **pvalue) { int i; register dictobject *mp; if (!PyDict_Check(op)) return 0; mp = (dictobject *)op; i = *ppos; if (i < 0) return 0; while (i <= mp->ma_mask && mp->ma_table[i].me_value == NULL) i++; *ppos = i+1; if (i > mp->ma_mask) return 0; if (pkey) *pkey = mp->ma_table[i].me_key; if (pvalue) *pvalue = mp->ma_table[i].me_value; return 1; } /* Methods */ static void dict_dealloc(register dictobject *mp) { register dictentry *ep; int fill = mp->ma_fill; Py_TRASHCAN_SAFE_BEGIN(mp) _PyObject_GC_UNTRACK(mp); for (ep = mp->ma_table; fill > 0; ep++) { if (ep->me_key) { --fill; Py_DECREF(ep->me_key); Py_XDECREF(ep->me_value); } } if (mp->ma_table != mp->ma_smalltable) PyMem_DEL(mp->ma_table); mp->ob_type->tp_free((PyObject *)mp); Py_TRASHCAN_SAFE_END(mp) } static int dict_print(register dictobject *mp, register FILE *fp, register int flags) { register int i; register int any; i = Py_ReprEnter((PyObject*)mp); if (i != 0) { if (i < 0) return i; fprintf(fp, "{...}"); return 0; } fprintf(fp, "{"); any = 0; for (i = 0; i <= mp->ma_mask; i++) { dictentry *ep = mp->ma_table + i; PyObject *pvalue = ep->me_value; if (pvalue != NULL) { /* Prevent PyObject_Repr from deleting value during key format */ Py_INCREF(pvalue); if (any++ > 0) fprintf(fp, ", "); if (PyObject_Print((PyObject *)ep->me_key, fp, 0)!=0) { Py_DECREF(pvalue); Py_ReprLeave((PyObject*)mp); return -1; } fprintf(fp, ": "); if (PyObject_Print(pvalue, fp, 0) != 0) { Py_DECREF(pvalue); Py_ReprLeave((PyObject*)mp); return -1; } Py_DECREF(pvalue); } } fprintf(fp, "}"); Py_ReprLeave((PyObject*)mp); return 0; } static PyObject * dict_repr(dictobject *mp) { int i; PyObject *s, *temp, *colon = NULL; PyObject *pieces = NULL, *result = NULL; PyObject *key, *value; i = Py_ReprEnter((PyObject *)mp); if (i != 0) { return i > 0 ? PyString_FromString("{...}") : NULL; } if (mp->ma_used == 0) { result = PyString_FromString("{}"); goto Done; } pieces = PyList_New(0); if (pieces == NULL) goto Done; colon = PyString_FromString(": "); if (colon == NULL) goto Done; /* Do repr() on each key+value pair, and insert ": " between them. Note that repr may mutate the dict. */ i = 0; while (PyDict_Next((PyObject *)mp, &i, &key, &value)) { int status; /* Prevent repr from deleting value during key format. */ Py_INCREF(value); s = PyObject_Repr(key); PyString_Concat(&s, colon); PyString_ConcatAndDel(&s, PyObject_Repr(value)); Py_DECREF(value); if (s == NULL) goto Done; status = PyList_Append(pieces, s); Py_DECREF(s); /* append created a new ref */ if (status < 0) goto Done; } /* Add "{}" decorations to the first and last items. */ assert(PyList_GET_SIZE(pieces) > 0); s = PyString_FromString("{"); if (s == NULL) goto Done; temp = PyList_GET_ITEM(pieces, 0); PyString_ConcatAndDel(&s, temp); PyList_SET_ITEM(pieces, 0, s); if (s == NULL) goto Done; s = PyString_FromString("}"); if (s == NULL) goto Done; temp = PyList_GET_ITEM(pieces, PyList_GET_SIZE(pieces) - 1); PyString_ConcatAndDel(&temp, s); PyList_SET_ITEM(pieces, PyList_GET_SIZE(pieces) - 1, temp); if (temp == NULL) goto Done; /* Paste them all together with ", " between. */ s = PyString_FromString(", "); if (s == NULL) goto Done; result = _PyString_Join(s, pieces); Py_DECREF(s); Done: Py_XDECREF(pieces); Py_XDECREF(colon); Py_ReprLeave((PyObject *)mp); return result; } static int dict_length(dictobject *mp) { return mp->ma_used; } static PyObject * dict_subscript(dictobject *mp, register PyObject *key) { PyObject *v; long hash; assert(mp->ma_table != NULL); #ifdef CACHE_HASH if (!PyString_CheckExact(key) || (hash = ((PyStringObject *) key)->ob_shash) == -1) #endif { hash = PyObject_Hash(key); if (hash == -1) return NULL; } v = (mp->ma_lookup)(mp, key, hash) -> me_value; if (v == NULL) PyErr_SetObject(PyExc_KeyError, key); else Py_INCREF(v); return v; } static int dict_ass_sub(dictobject *mp, PyObject *v, PyObject *w) { if (w == NULL) return PyDict_DelItem((PyObject *)mp, v); else return PyDict_SetItem((PyObject *)mp, v, w); } static PyMappingMethods dict_as_mapping = { (inquiry)dict_length, /*mp_length*/ (binaryfunc)dict_subscript, /*mp_subscript*/ (objobjargproc)dict_ass_sub, /*mp_ass_subscript*/ }; static PyObject * dict_keys(register dictobject *mp) { register PyObject *v; register int i, j, n; again: n = mp->ma_used; v = PyList_New(n); if (v == NULL) return NULL; if (n != mp->ma_used) { /* Durnit. The allocations caused the dict to resize. * Just start over, this shouldn't normally happen. */ Py_DECREF(v); goto again; } for (i = 0, j = 0; i <= mp->ma_mask; i++) { if (mp->ma_table[i].me_value != NULL) { PyObject *key = mp->ma_table[i].me_key; Py_INCREF(key); PyList_SET_ITEM(v, j, key); j++; } } return v; } static PyObject * dict_values(register dictobject *mp) { register PyObject *v; register int i, j, n; again: n = mp->ma_used; v = PyList_New(n); if (v == NULL) return NULL; if (n != mp->ma_used) { /* Durnit. The allocations caused the dict to resize. * Just start over, this shouldn't normally happen. */ Py_DECREF(v); goto again; } for (i = 0, j = 0; i <= mp->ma_mask; i++) { if (mp->ma_table[i].me_value != NULL) { PyObject *value = mp->ma_table[i].me_value; Py_INCREF(value); PyList_SET_ITEM(v, j, value); j++; } } return v; } static PyObject * dict_items(register dictobject *mp) { register PyObject *v; register int i, j, n; PyObject *item, *key, *value; /* Preallocate the list of tuples, to avoid allocations during * the loop over the items, which could trigger GC, which * could resize the dict. :-( */ again: n = mp->ma_used; v = PyList_New(n); if (v == NULL) return NULL; for (i = 0; i < n; i++) { item = PyTuple_New(2); if (item == NULL) { Py_DECREF(v); return NULL; } PyList_SET_ITEM(v, i, item); } if (n != mp->ma_used) { /* Durnit. The allocations caused the dict to resize. * Just start over, this shouldn't normally happen. */ Py_DECREF(v); goto again; } /* Nothing we do below makes any function calls. */ for (i = 0, j = 0; i <= mp->ma_mask; i++) { if (mp->ma_table[i].me_value != NULL) { key = mp->ma_table[i].me_key; value = mp->ma_table[i].me_value; item = PyList_GET_ITEM(v, j); Py_INCREF(key); PyTuple_SET_ITEM(item, 0, key); Py_INCREF(value); PyTuple_SET_ITEM(item, 1, value); j++; } } assert(j == n); return v; } static PyObject * dict_update(PyObject *mp, PyObject *other) { if (PyDict_Update(mp, other) < 0) return NULL; Py_INCREF(Py_None); return Py_None; } /* Update unconditionally replaces existing items. Merge has a 3rd argument 'override'; if set, it acts like Update, otherwise it leaves existing items unchanged. PyDict_{Update,Merge} update/merge from a mapping object. PyDict_{Update,Merge}FromSeq2 update/merge from any iterable object producing iterable objects of length 2. */ static int PyDict_MergeFromSeq2(PyObject *d, PyObject *seq2, int override) { PyObject *it; /* iter(seq2) */ int i; /* index into seq2 of current element */ PyObject *item; /* seq2[i] */ PyObject *fast; /* item as a 2-tuple or 2-list */ assert(d != NULL); assert(PyDict_Check(d)); assert(seq2 != NULL); it = PyObject_GetIter(seq2); if (it == NULL) return -1; for (i = 0; ; ++i) { PyObject *key, *value; int n; fast = NULL; item = PyIter_Next(it); if (item == NULL) { if (PyErr_Occurred()) goto Fail; break; } /* Convert item to sequence, and verify length 2. */ fast = PySequence_Fast(item, ""); if (fast == NULL) { if (PyErr_ExceptionMatches(PyExc_TypeError)) PyErr_Format(PyExc_TypeError, "cannot convert dictionary update " "sequence element #%d to a sequence", i); goto Fail; } n = PySequence_Fast_GET_SIZE(fast); if (n != 2) { PyErr_Format(PyExc_ValueError, "dictionary update sequence element #%d " "has length %d; 2 is required", i, n); goto Fail; } /* Update/merge with this (key, value) pair. */ key = PySequence_Fast_GET_ITEM(fast, 0); value = PySequence_Fast_GET_ITEM(fast, 1); if (override || PyDict_GetItem(d, key) == NULL) { int status = PyDict_SetItem(d, key, value); if (status < 0) goto Fail; } Py_DECREF(fast); Py_DECREF(item); } i = 0; goto Return; Fail: Py_XDECREF(item); Py_XDECREF(fast); i = -1; Return: Py_DECREF(it); return i; } static int PyDict_UpdateFromSeq2(PyObject *d, PyObject *seq2) { return PyDict_MergeFromSeq2(d, seq2, 1); } int PyDict_Update(PyObject *a, PyObject *b) { return PyDict_Merge(a, b, 1); } int PyDict_Merge(PyObject *a, PyObject *b, int override) { register PyDictObject *mp, *other; register int i; dictentry *entry; /* We accept for the argument either a concrete dictionary object, * or an abstract "mapping" object. For the former, we can do * things quite efficiently. For the latter, we only require that * PyMapping_Keys() and PyObject_GetItem() be supported. */ if (a == NULL || !PyDict_Check(a) || b == NULL) { PyErr_BadInternalCall(); return -1; } mp = (dictobject*)a; if (PyDict_Check(b)) { other = (dictobject*)b; if (other == mp || other->ma_used == 0) /* a.update(a) or a.update({}); nothing to do */ return 0; /* Do one big resize at the start, rather than * incrementally resizing as we insert new items. Expect * that there will be no (or few) overlapping keys. */ if ((mp->ma_fill + other->ma_used)*3 >= (mp->ma_mask+1)*2) { if (dictresize(mp, (mp->ma_used + other->ma_used)*3/2) != 0) return -1; } for (i = 0; i <= other->ma_mask; i++) { entry = &other->ma_table[i]; if (entry->me_value != NULL && (override || PyDict_GetItem(a, entry->me_key) == NULL)) { Py_INCREF(entry->me_key); Py_INCREF(entry->me_value); insertdict(mp, entry->me_key, entry->me_hash, entry->me_value); } } } else { /* Do it the generic, slower way */ PyObject *keys = PyMapping_Keys(b); PyObject *iter; PyObject *key, *value; int status; if (keys == NULL) /* Docstring says this is equivalent to E.keys() so * if E doesn't have a .keys() method we want * AttributeError to percolate up. Might as well * do the same for any other error. */ return -1; iter = PyObject_GetIter(keys); Py_DECREF(keys); if (iter == NULL) return -1; for (key = PyIter_Next(iter); key; key = PyIter_Next(iter)) { if (!override && PyDict_GetItem(a, key) != NULL) { Py_DECREF(key); continue; } value = PyObject_GetItem(b, key); if (value == NULL) { Py_DECREF(iter); Py_DECREF(key); return -1; } status = PyDict_SetItem(a, key, value); Py_DECREF(key); Py_DECREF(value); if (status < 0) { Py_DECREF(iter); return -1; } } Py_DECREF(iter); if (PyErr_Occurred()) /* Iterator completed, via error */ return -1; } return 0; } static PyObject * dict_copy(register dictobject *mp) { return PyDict_Copy((PyObject*)mp); } PyObject * PyDict_Copy(PyObject *o) { register dictobject *mp; register int i; dictobject *copy; dictentry *entry; if (o == NULL || !PyDict_Check(o)) { PyErr_BadInternalCall(); return NULL; } mp = (dictobject *)o; copy = (dictobject *)PyDict_New(); if (copy == NULL) return NULL; if (mp->ma_used > 0) { if (dictresize(copy, mp->ma_used*3/2) != 0) return NULL; for (i = 0; i <= mp->ma_mask; i++) { entry = &mp->ma_table[i]; if (entry->me_value != NULL) { Py_INCREF(entry->me_key); Py_INCREF(entry->me_value); insertdict(copy, entry->me_key, entry->me_hash, entry->me_value); } } } return (PyObject *)copy; } int PyDict_Size(PyObject *mp) { if (mp == NULL || !PyDict_Check(mp)) { PyErr_BadInternalCall(); return 0; } return ((dictobject *)mp)->ma_used; } PyObject * PyDict_Keys(PyObject *mp) { if (mp == NULL || !PyDict_Check(mp)) { PyErr_BadInternalCall(); return NULL; } return dict_keys((dictobject *)mp); } PyObject * PyDict_Values(PyObject *mp) { if (mp == NULL || !PyDict_Check(mp)) { PyErr_BadInternalCall(); return NULL; } return dict_values((dictobject *)mp); } PyObject * PyDict_Items(PyObject *mp) { if (mp == NULL || !PyDict_Check(mp)) { PyErr_BadInternalCall(); return NULL; } return dict_items((dictobject *)mp); } /* Subroutine which returns the smallest key in a for which b's value is different or absent. The value is returned too, through the pval argument. Both are NULL if no key in a is found for which b's status differs. The refcounts on (and only on) non-NULL *pval and function return values must be decremented by the caller (characterize() increments them to ensure that mutating comparison and PyDict_GetItem calls can't delete them before the caller is done looking at them). */ static PyObject * characterize(dictobject *a, dictobject *b, PyObject **pval) { PyObject *akey = NULL; /* smallest key in a s.t. a[akey] != b[akey] */ PyObject *aval = NULL; /* a[akey] */ int i, cmp; for (i = 0; i <= a->ma_mask; i++) { PyObject *thiskey, *thisaval, *thisbval; if (a->ma_table[i].me_value == NULL) continue; thiskey = a->ma_table[i].me_key; Py_INCREF(thiskey); /* keep alive across compares */ if (akey != NULL) { cmp = PyObject_RichCompareBool(akey, thiskey, Py_LT); if (cmp < 0) { Py_DECREF(thiskey); goto Fail; } if (cmp > 0 || i > a->ma_mask || a->ma_table[i].me_value == NULL) { /* Not the *smallest* a key; or maybe it is * but the compare shrunk the dict so we can't * find its associated value anymore; or * maybe it is but the compare deleted the * a[thiskey] entry. */ Py_DECREF(thiskey); continue; } } /* Compare a[thiskey] to b[thiskey]; cmp <- true iff equal. */ thisaval = a->ma_table[i].me_value; assert(thisaval); Py_INCREF(thisaval); /* keep alive */ thisbval = PyDict_GetItem((PyObject *)b, thiskey); if (thisbval == NULL) cmp = 0; else { /* both dicts have thiskey: same values? */ cmp = PyObject_RichCompareBool( thisaval, thisbval, Py_EQ); if (cmp < 0) { Py_DECREF(thiskey); Py_DECREF(thisaval); goto Fail; } } if (cmp == 0) { /* New winner. */ Py_XDECREF(akey); Py_XDECREF(aval); akey = thiskey; aval = thisaval; } else { Py_DECREF(thiskey); Py_DECREF(thisaval); } } *pval = aval; return akey; Fail: Py_XDECREF(akey); Py_XDECREF(aval); *pval = NULL; return NULL; } static int dict_compare(dictobject *a, dictobject *b) { PyObject *adiff, *bdiff, *aval, *bval; int res; /* Compare lengths first */ if (a->ma_used < b->ma_used) return -1; /* a is shorter */ else if (a->ma_used > b->ma_used) return 1; /* b is shorter */ /* Same length -- check all keys */ bdiff = bval = NULL; adiff = characterize(a, b, &aval); if (adiff == NULL) { assert(!aval); /* Either an error, or a is a subset with the same length so * must be equal. */ res = PyErr_Occurred() ? -1 : 0; goto Finished; } bdiff = characterize(b, a, &bval); if (bdiff == NULL && PyErr_Occurred()) { assert(!bval); res = -1; goto Finished; } res = 0; if (bdiff) { /* bdiff == NULL "should be" impossible now, but perhaps * the last comparison done by the characterize() on a had * the side effect of making the dicts equal! */ res = PyObject_Compare(adiff, bdiff); } if (res == 0 && bval != NULL) res = PyObject_Compare(aval, bval); Finished: Py_XDECREF(adiff); Py_XDECREF(bdiff); Py_XDECREF(aval); Py_XDECREF(bval); return res; } /* Return 1 if dicts equal, 0 if not, -1 if error. * Gets out as soon as any difference is detected. * Uses only Py_EQ comparison. */ static int dict_equal(dictobject *a, dictobject *b) { int i; if (a->ma_used != b->ma_used) /* can't be equal if # of entries differ */ return 0; /* Same # of entries -- check all of 'em. Exit early on any diff. */ for (i = 0; i <= a->ma_mask; i++) { PyObject *aval = a->ma_table[i].me_value; if (aval != NULL) { int cmp; PyObject *bval; PyObject *key = a->ma_table[i].me_key; /* temporarily bump aval's refcount to ensure it stays alive until we're done with it */ Py_INCREF(aval); bval = PyDict_GetItem((PyObject *)b, key); if (bval == NULL) { Py_DECREF(aval); return 0; } cmp = PyObject_RichCompareBool(aval, bval, Py_EQ); Py_DECREF(aval); if (cmp <= 0) /* error or not equal */ return cmp; } } return 1; } static PyObject * dict_richcompare(PyObject *v, PyObject *w, int op) { int cmp; PyObject *res; if (!PyDict_Check(v) || !PyDict_Check(w)) { res = Py_NotImplemented; } else if (op == Py_EQ || op == Py_NE) { cmp = dict_equal((dictobject *)v, (dictobject *)w); if (cmp < 0) return NULL; res = (cmp == (op == Py_EQ)) ? Py_True : Py_False; } else res = Py_NotImplemented; Py_INCREF(res); return res; } static PyObject * dict_has_key(register dictobject *mp, PyObject *key) { long hash; register long ok; #ifdef CACHE_HASH if (!PyString_CheckExact(key) || (hash = ((PyStringObject *) key)->ob_shash) == -1) #endif { hash = PyObject_Hash(key); if (hash == -1) return NULL; } ok = (mp->ma_lookup)(mp, key, hash)->me_value != NULL; return PyInt_FromLong(ok); } static PyObject * dict_get(register dictobject *mp, PyObject *args) { PyObject *key; PyObject *failobj = Py_None; PyObject *val = NULL; long hash; if (!PyArg_ParseTuple(args, "O|O:get", &key, &failobj)) return NULL; #ifdef CACHE_HASH if (!PyString_CheckExact(key) || (hash = ((PyStringObject *) key)->ob_shash) == -1) #endif { hash = PyObject_Hash(key); if (hash == -1) return NULL; } val = (mp->ma_lookup)(mp, key, hash)->me_value; if (val == NULL) val = failobj; Py_INCREF(val); return val; } static PyObject * dict_setdefault(register dictobject *mp, PyObject *args) { PyObject *key; PyObject *failobj = Py_None; PyObject *val = NULL; long hash; if (!PyArg_ParseTuple(args, "O|O:setdefault", &key, &failobj)) return NULL; #ifdef CACHE_HASH if (!PyString_CheckExact(key) || (hash = ((PyStringObject *) key)->ob_shash) == -1) #endif { hash = PyObject_Hash(key); if (hash == -1) return NULL; } val = (mp->ma_lookup)(mp, key, hash)->me_value; if (val == NULL) { val = failobj; if (PyDict_SetItem((PyObject*)mp, key, failobj)) val = NULL; } Py_XINCREF(val); return val; } static PyObject * dict_clear(register dictobject *mp) { PyDict_Clear((PyObject *)mp); Py_INCREF(Py_None); return Py_None; } static PyObject * dict_popitem(dictobject *mp) { int i = 0; dictentry *ep; PyObject *res; /* Allocate the result tuple before checking the size. Believe it * or not, this allocation could trigger a garbage collection which * could empty the dict, so if we checked the size first and that * happened, the result would be an infinite loop (searching for an * entry that no longer exists). Note that the usual popitem() * idiom is "while d: k, v = d.popitem()". so needing to throw the * tuple away if the dict *is* empty isn't a significant * inefficiency -- possible, but unlikely in practice. */ res = PyTuple_New(2); if (res == NULL) return NULL; if (mp->ma_used == 0) { Py_DECREF(res); PyErr_SetString(PyExc_KeyError, "popitem(): dictionary is empty"); return NULL; } /* Set ep to "the first" dict entry with a value. We abuse the hash * field of slot 0 to hold a search finger: * If slot 0 has a value, use slot 0. * Else slot 0 is being used to hold a search finger, * and we use its hash value as the first index to look. */ ep = &mp->ma_table[0]; if (ep->me_value == NULL) { i = (int)ep->me_hash; /* The hash field may be a real hash value, or it may be a * legit search finger, or it may be a once-legit search * finger that's out of bounds now because it wrapped around * or the table shrunk -- simply make sure it's in bounds now. */ if (i > mp->ma_mask || i < 1) i = 1; /* skip slot 0 */ while ((ep = &mp->ma_table[i])->me_value == NULL) { i++; if (i > mp->ma_mask) i = 1; } } PyTuple_SET_ITEM(res, 0, ep->me_key); PyTuple_SET_ITEM(res, 1, ep->me_value); Py_INCREF(dummy); ep->me_key = dummy; ep->me_value = NULL; mp->ma_used--; assert(mp->ma_table[0].me_value == NULL); mp->ma_table[0].me_hash = i + 1; /* next place to start */ return res; } static int dict_traverse(PyObject *op, visitproc visit, void *arg) { int i = 0, err; PyObject *pk; PyObject *pv; while (PyDict_Next(op, &i, &pk, &pv)) { err = visit(pk, arg); if (err) return err; err = visit(pv, arg); if (err) return err; } return 0; } static int dict_tp_clear(PyObject *op) { PyDict_Clear(op); return 0; } staticforward PyObject *dictiter_new(dictobject *, binaryfunc); static PyObject * select_key(PyObject *key, PyObject *value) { Py_INCREF(key); return key; } static PyObject * select_value(PyObject *key, PyObject *value) { Py_INCREF(value); return value; } static PyObject * select_item(PyObject *key, PyObject *value) { PyObject *res = PyTuple_New(2); if (res != NULL) { Py_INCREF(key); Py_INCREF(value); PyTuple_SET_ITEM(res, 0, key); PyTuple_SET_ITEM(res, 1, value); } return res; } static PyObject * dict_iterkeys(dictobject *dict) { return dictiter_new(dict, select_key); } static PyObject * dict_itervalues(dictobject *dict) { return dictiter_new(dict, select_value); } static PyObject * dict_iteritems(dictobject *dict) { return dictiter_new(dict, select_item); } static char has_key__doc__[] = "D.has_key(k) -> 1 if D has a key k, else 0"; static char get__doc__[] = "D.get(k[,d]) -> D[k] if D.has_key(k), else d. d defaults to None."; static char setdefault_doc__[] = "D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if not D.has_key(k)"; static char popitem__doc__[] = "D.popitem() -> (k, v), remove and return some (key, value) pair as a\n\ 2-tuple; but raise KeyError if D is empty"; static char keys__doc__[] = "D.keys() -> list of D's keys"; static char items__doc__[] = "D.items() -> list of D's (key, value) pairs, as 2-tuples"; static char values__doc__[] = "D.values() -> list of D's values"; static char update__doc__[] = "D.update(E) -> None. Update D from E: for k in E.keys(): D[k] = E[k]"; static char clear__doc__[] = "D.clear() -> None. Remove all items from D."; static char copy__doc__[] = "D.copy() -> a shallow copy of D"; static char iterkeys__doc__[] = "D.iterkeys() -> an iterator over the keys of D"; static char itervalues__doc__[] = "D.itervalues() -> an iterator over the values of D"; static char iteritems__doc__[] = "D.iteritems() -> an iterator over the (key, value) items of D"; static PyMethodDef mapp_methods[] = { {"has_key", (PyCFunction)dict_has_key, METH_O, has_key__doc__}, {"get", (PyCFunction)dict_get, METH_VARARGS, get__doc__}, {"setdefault", (PyCFunction)dict_setdefault, METH_VARARGS, setdefault_doc__}, {"popitem", (PyCFunction)dict_popitem, METH_NOARGS, popitem__doc__}, {"keys", (PyCFunction)dict_keys, METH_NOARGS, keys__doc__}, {"items", (PyCFunction)dict_items, METH_NOARGS, items__doc__}, {"values", (PyCFunction)dict_values, METH_NOARGS, values__doc__}, {"update", (PyCFunction)dict_update, METH_O, update__doc__}, {"clear", (PyCFunction)dict_clear, METH_NOARGS, clear__doc__}, {"copy", (PyCFunction)dict_copy, METH_NOARGS, copy__doc__}, {"iterkeys", (PyCFunction)dict_iterkeys, METH_NOARGS, iterkeys__doc__}, {"itervalues", (PyCFunction)dict_itervalues, METH_NOARGS, itervalues__doc__}, {"iteritems", (PyCFunction)dict_iteritems, METH_NOARGS, iteritems__doc__}, {NULL, NULL} /* sentinel */ }; static int dict_contains(dictobject *mp, PyObject *key) { long hash; #ifdef CACHE_HASH if (!PyString_CheckExact(key) || (hash = ((PyStringObject *) key)->ob_shash) == -1) #endif { hash = PyObject_Hash(key); if (hash == -1) return -1; } return (mp->ma_lookup)(mp, key, hash)->me_value != NULL; } /* Hack to implement "key in dict" */ static PySequenceMethods dict_as_sequence = { 0, /* sq_length */ 0, /* sq_concat */ 0, /* sq_repeat */ 0, /* sq_item */ 0, /* sq_slice */ 0, /* sq_ass_item */ 0, /* sq_ass_slice */ (objobjproc)dict_contains, /* sq_contains */ 0, /* sq_inplace_concat */ 0, /* sq_inplace_repeat */ }; static PyObject * dict_new(PyTypeObject *type, PyObject *args, PyObject *kwds) { PyObject *self; assert(type != NULL && type->tp_alloc != NULL); self = type->tp_alloc(type, 0); if (self != NULL) { PyDictObject *d = (PyDictObject *)self; /* It's guaranteed that tp->alloc zeroed out the struct. */ assert(d->ma_table == NULL && d->ma_fill == 0 && d->ma_used == 0); INIT_NONZERO_DICT_SLOTS(d); d->ma_lookup = lookdict_string; #ifdef SHOW_CONVERSION_COUNTS ++created; #endif } return self; } static int dict_init(PyObject *self, PyObject *args, PyObject *kwds) { PyObject *arg = NULL; static char *kwlist[] = {"items", 0}; int result = 0; if (!PyArg_ParseTupleAndKeywords(args, kwds, "|O:dictionary", kwlist, &arg)) result = -1; else if (arg != NULL) { if (PyObject_HasAttrString(arg, "keys")) result = PyDict_Merge(self, arg, 1); else result = PyDict_MergeFromSeq2(self, arg, 1); } return result; } static PyObject * dict_iter(dictobject *dict) { return dictiter_new(dict, select_key); } static char dictionary_doc[] = "dictionary() -> new empty dictionary.\n" "dictionary(mapping) -> new dict initialized from a mapping object's\n" " (key, value) pairs.\n" "dictionary(seq) -> new dict initialized as if via:\n" " d = {}\n" " for k, v in seq:\n" " d[k] = v"; PyTypeObject PyDict_Type = { PyObject_HEAD_INIT(&PyType_Type) 0, "dictionary", sizeof(dictobject), 0, (destructor)dict_dealloc, /* tp_dealloc */ (printfunc)dict_print, /* tp_print */ 0, /* tp_getattr */ 0, /* tp_setattr */ (cmpfunc)dict_compare, /* tp_compare */ (reprfunc)dict_repr, /* tp_repr */ 0, /* tp_as_number */ &dict_as_sequence, /* tp_as_sequence */ &dict_as_mapping, /* tp_as_mapping */ 0, /* tp_hash */ 0, /* tp_call */ 0, /* tp_str */ PyObject_GenericGetAttr, /* tp_getattro */ 0, /* tp_setattro */ 0, /* tp_as_buffer */ Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, /* tp_flags */ dictionary_doc, /* tp_doc */ (traverseproc)dict_traverse, /* tp_traverse */ (inquiry)dict_tp_clear, /* tp_clear */ dict_richcompare, /* tp_richcompare */ 0, /* tp_weaklistoffset */ (getiterfunc)dict_iter, /* tp_iter */ 0, /* tp_iternext */ mapp_methods, /* tp_methods */ 0, /* tp_members */ 0, /* tp_getset */ 0, /* tp_base */ 0, /* tp_dict */ 0, /* tp_descr_get */ 0, /* tp_descr_set */ 0, /* tp_dictoffset */ (initproc)dict_init, /* tp_init */ PyType_GenericAlloc, /* tp_alloc */ dict_new, /* tp_new */ _PyObject_GC_Del, /* tp_free */ }; /* For backward compatibility with old dictionary interface */ PyObject * PyDict_GetItemString(PyObject *v, char *key) { PyObject *kv, *rv; kv = PyString_FromString(key); if (kv == NULL) return NULL; rv = PyDict_GetItem(v, kv); Py_DECREF(kv); return rv; } int PyDict_SetItemString(PyObject *v, char *key, PyObject *item) { PyObject *kv; int err; kv = PyString_FromString(key); if (kv == NULL) return -1; PyString_InternInPlace(&kv); /* XXX Should we really? */ err = PyDict_SetItem(v, kv, item); Py_DECREF(kv); return err; } int PyDict_DelItemString(PyObject *v, char *key) { PyObject *kv; int err; kv = PyString_FromString(key); if (kv == NULL) return -1; err = PyDict_DelItem(v, kv); Py_DECREF(kv); return err; } /* Dictionary iterator type */ extern PyTypeObject PyDictIter_Type; /* Forward */ typedef struct { PyObject_HEAD dictobject *di_dict; int di_used; int di_pos; binaryfunc di_select; } dictiterobject; static PyObject * dictiter_new(dictobject *dict, binaryfunc select) { dictiterobject *di; di = PyObject_NEW(dictiterobject, &PyDictIter_Type); if (di == NULL) return NULL; Py_INCREF(dict); di->di_dict = dict; di->di_used = dict->ma_used; di->di_pos = 0; di->di_select = select; return (PyObject *)di; } static void dictiter_dealloc(dictiterobject *di) { Py_DECREF(di->di_dict); PyObject_DEL(di); } static PyObject * dictiter_next(dictiterobject *di, PyObject *args) { PyObject *key, *value; if (di->di_used != di->di_dict->ma_used) { PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration"); return NULL; } if (PyDict_Next((PyObject *)(di->di_dict), &di->di_pos, &key, &value)) { return (*di->di_select)(key, value); } PyErr_SetObject(PyExc_StopIteration, Py_None); return NULL; } static PyObject * dictiter_getiter(PyObject *it) { Py_INCREF(it); return it; } static PyMethodDef dictiter_methods[] = { {"next", (PyCFunction)dictiter_next, METH_VARARGS, "it.next() -- get the next value, or raise StopIteration"}, {NULL, NULL} /* sentinel */ }; static PyObject *dictiter_iternext(dictiterobject *di) { PyObject *key, *value; if (di->di_used != di->di_dict->ma_used) { PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration"); return NULL; } if (PyDict_Next((PyObject *)(di->di_dict), &di->di_pos, &key, &value)) { return (*di->di_select)(key, value); } return NULL; } PyTypeObject PyDictIter_Type = { PyObject_HEAD_INIT(&PyType_Type) 0, /* ob_size */ "dictionary-iterator", /* tp_name */ sizeof(dictiterobject), /* tp_basicsize */ 0, /* tp_itemsize */ /* methods */ (destructor)dictiter_dealloc, /* tp_dealloc */ 0, /* tp_print */ 0, /* tp_getattr */ 0, /* tp_setattr */ 0, /* tp_compare */ 0, /* tp_repr */ 0, /* tp_as_number */ 0, /* tp_as_sequence */ 0, /* tp_as_mapping */ 0, /* tp_hash */ 0, /* tp_call */ 0, /* tp_str */ PyObject_GenericGetAttr, /* tp_getattro */ 0, /* tp_setattro */ 0, /* tp_as_buffer */ Py_TPFLAGS_DEFAULT, /* tp_flags */ 0, /* tp_doc */ 0, /* tp_traverse */ 0, /* tp_clear */ 0, /* tp_richcompare */ 0, /* tp_weaklistoffset */ (getiterfunc)dictiter_getiter, /* tp_iter */ (iternextfunc)dictiter_iternext, /* tp_iternext */ dictiter_methods, /* tp_methods */ 0, /* tp_members */ 0, /* tp_getset */ 0, /* tp_base */ 0, /* tp_dict */ 0, /* tp_descr_get */ 0, /* tp_descr_set */ };