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.
New in version 2.2.
Returns a new dictionary that contains the same key-value pairs as
p.
New in version 1.6.
int PyDict_SetItem(PyObject *p, PyObject *key,
PyObject *val)
Inserts value into the dictionary p with a key of
key. key must be hashable; if it isn't,
TypeError will be raised.
Returns 0 on success or -1 on failure.
Inserts value into the dictionary p using key as a
key. key should be a char*. The key object is created
using PyString_FromString(key). Returns 0 on
success or -1 on failure.
Returns the number of items in the dictionary. This is equivalent
to "len(p)" on a dictionary.
int PyDict_Next(PyObject *p, int *ppos,
PyObject **pkey, PyObject **pvalue)
Iterate over all key-value pairs in the dictionary p. The
int 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.
For example:
PyObject *key, *value;
int 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 (since Python 2.1) 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;
int pos = 0;
while (PyDict_Next(self->dict, &pos, &key, &value)) {
int i = PyInt_AS_LONG(value) + 1;
PyObject *o = PyInt_FromLong(i);
if (o == NULL)
return -1;
if (PyDict_SetItem(self->dict, key, o) < 0) {
Py_DECREF(o);
return -1;
}
Py_DECREF(o);
}
int PyDict_Merge(PyObject *a, PyObject *b, int override)
Iterate over mapping object b adding key-value pairs to dictionary
a.
b may be a dictionary, or any object supporting
PyMapping_Keys() and PyObject_GetItem().
If override is true, existing pairs in a will
be replaced if a matching key is found in b, otherwise pairs
will only be added if there is not a matching key in a.
Return 0 on success or -1 if an exception was
raised.
New in version 2.2.
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