collections.abc
— Abstract Base Classes for Containers¶New in version 3.3: Formerly, this module was part of the collections
module.
Source code: Lib/_collections_abc.py
This module provides abstract base classes that can be used to test whether a class provides a particular interface; for example, whether it is hashable or whether it is a mapping.
The collections module offers the following ABCs:
ABC | Inherits from | Abstract Methods | Mixin Methods |
---|---|---|---|
Container |
__contains__ |
||
Hashable |
__hash__ |
||
Iterable |
__iter__ |
||
Iterator |
Iterable |
__next__ |
__iter__ |
Reversible |
Iterable |
__reversed__ |
|
Generator |
Iterator |
send , throw |
close , __iter__ , __next__ |
Sized |
__len__ |
||
Callable |
__call__ |
||
Collection |
Sized ,
Iterable ,
Container |
__contains__ ,
__iter__ ,
__len__ |
|
Sequence |
Reversible ,
Collection |
__getitem__ ,
__len__ |
__contains__ , __iter__ , __reversed__ ,
index , and count |
MutableSequence |
Sequence |
__getitem__ ,
__setitem__ ,
__delitem__ ,
__len__ ,
insert |
Inherited Sequence methods and
append , reverse , extend , pop ,
remove , and __iadd__ |
ByteString |
Sequence |
__getitem__ ,
__len__ |
Inherited Sequence methods |
Set |
Collection |
__contains__ ,
__iter__ ,
__len__ |
__le__ , __lt__ , __eq__ , __ne__ ,
__gt__ , __ge__ , __and__ , __or__ ,
__sub__ , __xor__ , and isdisjoint |
MutableSet |
Set |
__contains__ ,
__iter__ ,
__len__ ,
add ,
discard |
Inherited Set methods and
clear , pop , remove , __ior__ ,
__iand__ , __ixor__ , and __isub__ |
Mapping |
Collection |
__getitem__ ,
__iter__ ,
__len__ |
__contains__ , keys , items , values ,
get , __eq__ , and __ne__ |
MutableMapping |
Mapping |
__getitem__ ,
__setitem__ ,
__delitem__ ,
__iter__ ,
__len__ |
Inherited Mapping methods and
pop , popitem , clear , update ,
and setdefault |
MappingView |
Sized |
__len__ |
|
ItemsView |
MappingView ,
Set |
__contains__ ,
__iter__ |
|
KeysView |
MappingView ,
Set |
__contains__ ,
__iter__ |
|
ValuesView |
MappingView |
__contains__ , __iter__ |
|
Awaitable |
__await__ |
||
Coroutine |
Awaitable |
send , throw |
close |
AsyncIterable |
__aiter__ |
||
AsyncIterator |
AsyncIterable |
__anext__ |
__aiter__ |
AsyncGenerator |
AsyncIterator |
asend , athrow |
aclose , __aiter__ , __anext__ |
collections.abc.
Container
¶collections.abc.
Hashable
¶collections.abc.
Sized
¶collections.abc.
Callable
¶ABCs for classes that provide respectively the methods __contains__()
,
__hash__()
, __len__()
, and __call__()
.
collections.abc.
Iterable
¶ABC for classes that provide the __iter__()
method.
See also the definition of iterable.
collections.abc.
Collection
¶ABC for sized iterable container classes.
New in version 3.6.
collections.abc.
Iterator
¶ABC for classes that provide the __iter__()
and
__next__()
methods. See also the definition of
iterator.
collections.abc.
Reversible
¶ABC for iterable classes that also provide the __reversed__()
method.
New in version 3.6.
collections.abc.
Generator
¶ABC for generator classes that implement the protocol defined in
PEP 342 that extends iterators with the send()
,
throw()
and close()
methods.
See also the definition of generator.
New in version 3.5.
collections.abc.
Sequence
¶collections.abc.
MutableSequence
¶collections.abc.
ByteString
¶ABCs for read-only and mutable sequences.
Implementation note: Some of the mixin methods, such as
__iter__()
, __reversed__()
and index()
, make
repeated calls to the underlying __getitem__()
method.
Consequently, if __getitem__()
is implemented with constant
access speed, the mixin methods will have linear performance;
however, if the underlying method is linear (as it would be with a
linked list), the mixins will have quadratic performance and will
likely need to be overridden.
Changed in version 3.5: The index() method added support for stop and start arguments.
collections.abc.
Mapping
¶collections.abc.
MutableMapping
¶ABCs for read-only and mutable mappings.
collections.abc.
MappingView
¶collections.abc.
ItemsView
¶collections.abc.
KeysView
¶collections.abc.
ValuesView
¶ABCs for mapping, items, keys, and values views.
collections.abc.
Awaitable
¶ABC for awaitable objects, which can be used in await
expressions. Custom implementations must provide the __await__()
method.
Coroutine objects and instances of the
Coroutine
ABC are all instances of this ABC.
Note
In CPython, generator-based coroutines (generators decorated with
types.coroutine()
or asyncio.coroutine()
) are
awaitables, even though they do not have an __await__()
method.
Using isinstance(gencoro, Awaitable)
for them will return False
.
Use inspect.isawaitable()
to detect them.
New in version 3.5.
collections.abc.
Coroutine
¶ABC for coroutine compatible classes. These implement the
following methods, defined in Coroutine Objects:
send()
, throw()
, and
close()
. Custom implementations must also implement
__await__()
. All Coroutine
instances are also instances of
Awaitable
. See also the definition of coroutine.
Note
In CPython, generator-based coroutines (generators decorated with
types.coroutine()
or asyncio.coroutine()
) are
awaitables, even though they do not have an __await__()
method.
Using isinstance(gencoro, Coroutine)
for them will return False
.
Use inspect.isawaitable()
to detect them.
New in version 3.5.
collections.abc.
AsyncIterable
¶ABC for classes that provide __aiter__
method. See also the
definition of asynchronous iterable.
New in version 3.5.
collections.abc.
AsyncIterator
¶ABC for classes that provide __aiter__
and __anext__
methods. See also the definition of asynchronous iterator.
New in version 3.5.
collections.abc.
AsyncGenerator
¶ABC for asynchronous generator classes that implement the protocol defined in PEP 525 and PEP 492.
New in version 3.6.
These ABCs allow us to ask classes or instances if they provide particular functionality, for example:
size = None
if isinstance(myvar, collections.abc.Sized):
size = len(myvar)
Several of the ABCs are also useful as mixins that make it easier to develop
classes supporting container APIs. For example, to write a class supporting
the full Set
API, it is only necessary to supply the three underlying
abstract methods: __contains__()
, __iter__()
, and __len__()
.
The ABC supplies the remaining methods such as __and__()
and
isdisjoint()
:
class ListBasedSet(collections.abc.Set):
''' Alternate set implementation favoring space over speed
and not requiring the set elements to be hashable. '''
def __init__(self, iterable):
self.elements = lst = []
for value in iterable:
if value not in lst:
lst.append(value)
def __iter__(self):
return iter(self.elements)
def __contains__(self, value):
return value in self.elements
def __len__(self):
return len(self.elements)
s1 = ListBasedSet('abcdef')
s2 = ListBasedSet('defghi')
overlap = s1 & s2 # The __and__() method is supported automatically
Notes on using Set
and MutableSet
as a mixin:
ClassName(iterable)
.
That assumption is factored-out to an internal classmethod called
_from_iterable()
which calls cls(iterable)
to produce a new set.
If the Set
mixin is being used in a class with a different
constructor signature, you will need to override _from_iterable()
with a classmethod that can construct new instances from
an iterable argument.__le__()
and __ge__()
,
then the other operations will automatically follow suit.Set
mixin provides a _hash()
method to compute a hash value
for the set; however, __hash__()
is not defined because not all sets
are hashable or immutable. To add set hashability using mixins,
inherit from both Set()
and Hashable()
, then define
__hash__ = Set._hash
.See also
MutableSet
.abc
module and PEP 3119.