*
iterates over an object and uses its elements as arguments. **
iterates over an object's keys
and uses __getitem__
(equivalent to bracket notation) to fetch key-value pairs. To customize *
, simply make your object iterable, and to customize **
, make your object a mapping:
class MyIterable(object):
def __iter__(self):
return iter([1, 2, 3])
class MyMapping(collections.Mapping):
def __iter__(self):
return iter('123')
def __getitem__(self, item):
return int(item)
def __len__(self):
return 3
If you want *
and **
to do something besides what's described above, you can't. I don't have a documentation reference for that statement (since it's easier to find documentation for "you can do this" than "you can't do this"), but I have a source quote. The bytecode interpreter loop in PyEval_EvalFrameEx
calls ext_do_call
to implement function calls with *
or **
arguments. ext_do_call
contains the following code:
if (!PyDict_Check(kwdict)) {
PyObject *d;
d = PyDict_New();
if (d == NULL)
goto ext_call_fail;
if (PyDict_Update(d, kwdict) != 0) {
which, if the **
argument is not a dict, creates a dict and performs an ordinary update
to initialize it from the keyword arguments (except that PyDict_Update
won't accept a list of key-value pairs). Thus, you can't customize **
separately from implementing the mapping protocol.
Similarly, for *
arguments, ext_do_call
performs
if (!PyTuple_Check(stararg)) {
PyObject *t = NULL;
t = PySequence_Tuple(stararg);
which is equivalent to tuple(args)
. Thus, you can't customize *
separately from ordinary iteration.
It'd be horribly confusing if f(*thing)
and f(*iter(thing))
did different things. In any case, *
and **
are part of the function call syntax, not separate operators, so customizing them (if possible) would be the callable's job, not the argument's. I suppose there could be use cases for allowing the callable to customize them, perhaps to pass dict
subclasses like defaultdict
through...
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…