This instance of PyTypeObject represents the Python dictionary type. This is exposed to Python programs as dict and types.DictType.
Return a new empty dictionary, or NULL on failure.
Return a proxy object for a mapping which enforces read-only behavior. This is normally used to create a proxy to prevent modification of the dictionary for non-dynamic class types.
Return a new dictionary that contains the same key-value pairs as p.
Insert value into the dictionary p using key as a key. key should be a char*. The key object is created using PyUnicode_FromString(key). Return 0 on success or -1 on failure.
Return the object from dictionary p which has a key key. Return NULL if the key key is not present, but without setting an exception.
This is the same as PyDict_GetItem(), but key is specified as a char*, rather than a PyObject*.
Return a PyListObject containing all the items from the dictionary, as in the dictionary method dict.items().
Return a PyListObject containing all the keys from the dictionary, as in the dictionary method dict.keys().
Return a PyListObject containing all the values from the dictionary p, as in the dictionary method dict.values().
Return the number of items in the dictionary. This is equivalent to len(p) on a dictionary.
Iterate over all key-value pairs in the dictionary p. The Py_ssize_t referred to by ppos must be initialized to 0 prior to the first call to this function to start the iteration; the function returns true for each pair in the dictionary, and false once all pairs have been reported. The parameters pkey and pvalue should either point to PyObject* variables that will be filled in with each key and value, respectively, or may be NULL. Any references returned through them are borrowed. ppos should not be altered during iteration. Its value represents offsets within the internal dictionary structure, and since the structure is sparse, the offsets are not consecutive.
For example:
PyObject *key, *value;
Py_ssize_t pos = 0;
while (PyDict_Next(self->dict, &pos, &key, &value)) {
/* do something interesting with the values... */
...
}
The dictionary p should not be mutated during iteration. It is safe to modify the values of the keys as you iterate over the dictionary, but only so long as the set of keys does not change. For example:
PyObject *key, *value;
Py_ssize_t pos = 0;
while (PyDict_Next(self->dict, &pos, &key, &value)) {
long i = PyLong_AsLong(value);
if (i == -1 && PyErr_Occurred()) {
return -1;
}
PyObject *o = PyLong_FromLong(i + 1);
if (o == NULL)
return -1;
if (PyDict_SetItem(self->dict, key, o) < 0) {
Py_DECREF(o);
return -1;
}
Py_DECREF(o);
}
Update or merge into dictionary a, from the key-value pairs in seq2. seq2 must be an iterable object producing iterable objects of length 2, viewed as key-value pairs. In case of duplicate keys, the last wins if override is true, else the first wins. Return 0 on success or -1 if an exception was raised. Equivalent Python (except for the return value):
def PyDict_MergeFromSeq2(a, seq2, override):
for key, value in seq2:
if override or key not in a:
a[key] = value