I\'m using python-spidermonkey, which internally uses PyMapping_Check to identify if the object being used as a global (in rt.new_context(global)) implements the mapping pro
The collections.abc module defines the interfaces for things like Mapping
, Sequence
, and so on.
By inheriting from the abstract base classes in that module, you get default implementations of some of the methods. So to be considered a Mapping
, your class definition should look something like this:
class MyMapping(collections.abc.Mapping):
def __getitem__(self, item)
def __iter__(self)
def __len__(self)
Inheriting from Mapping
will get you 'free' implementations of most of dict
's useful methods:
__contains__
keys
items
values
get
__eq__
__ne__
If these default method implementations are inefficient with your custom data structure, you can always override them with your own versions.
To be considered a MutableMapping
, your class's interface should look like this:
class MyMutableMapping(collections.abc.MutableMapping):
def __getitem__(self, key)
def __setitem__(self, key, item)
def __delitem__(self, key)
def __iter__(self)
def __len__(self)
Inheriting from MutableMapping
gets you 'free' definitions of all of Mapping
's methods, plus:
pop
popitem
clear
update
setdefault
If you're 'rolling your own' from scratch and don't want to use an abstract base class, you should probably try to define all of the above methods, if you want your class to be strictly Liskov-substitutable for dict
.