collections.abc
— Abstract Base Classes for Containers¶
Added in version 3.3:Formerly, this module was part of thecollections
module.
Source code:Lib/_collections_abc.py
This module providesabstract base classesthat can be used to test whether a class provides a particular interface; for example, whether it ishashableor whether it is amapping.
Anissubclass()
orisinstance()
test for an interface works in one
of three ways.
1) A newly written class can inherit directly from one of the abstract base classes. The class must supply the required abstract methods. The remaining mixin methods come from inheritance and can be overridden if desired. Other methods may be added as needed:
classC(Sequence):# Direct inheritance
def__init__(self):...# Extra method not required by the ABC
def__getitem__(self,index):...# Required abstract method
def__len__(self):...# Required abstract method
defcount(self,value):...# Optionally override a mixin method
>>>issubclass(C,Sequence)
True
>>>isinstance(C(),Sequence)
True
2) Existing classes and built-in classes can be registered as “virtual
subclasses” of the ABCs. Those classes should define the full API
including all of the abstract methods and all of the mixin methods.
This lets users rely onissubclass()
orisinstance()
tests
to determine whether the full interface is supported. The exception to
this rule is for methods that are automatically inferred from the rest
of the API:
classD:# No inheritance
def__init__(self):...# Extra method not required by the ABC
def__getitem__(self,index):...# Abstract method
def__len__(self):...# Abstract method
defcount(self,value):...# Mixin method
defindex(self,value):...# Mixin method
Sequence.register(D)# Register instead of inherit
>>>issubclass(D,Sequence)
True
>>>isinstance(D(),Sequence)
True
In this example, classD
does not need to define
__contains__
,__iter__
,and__reversed__
because the
in-operator,theiteration
logic, and thereversed()
function automatically fall back to
using__getitem__
and__len__
.
3) Some simple interfaces are directly recognizable by the presence of
the required methods (unless those methods have been set to
None
):
classE:
def__iter__(self):...
def__next__(self):...
>>>issubclass(E,Iterable)
True
>>>isinstance(E(),Iterable)
True
Complex interfaces do not support this last technique because an
interface is more than just the presence of method names. Interfaces
specify semantics and relationships between methods that cannot be
inferred solely from the presence of specific method names. For
example, knowing that a class supplies__getitem__
,__len__
,and
__iter__
is insufficient for distinguishing aSequence
from
aMapping
.
Added in version 3.9:These abstract classes now support[]
.SeeGeneric Alias Type
andPEP 585.
Collections Abstract Base Classes¶
The collections module offers the followingABCs:
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Footnotes
Collections Abstract Base Classes – Detailed Descriptions¶
- classcollections.abc.Container¶
ABC for classes that provide the
__contains__()
method.
- classcollections.abc.Hashable¶
ABC for classes that provide the
__hash__()
method.
- classcollections.abc.Callable¶
ABC for classes that provide the
__call__()
method.SeeAnnotating callable objectsfor details on how to use
Callable
in type annotations.
- classcollections.abc.Iterable¶
ABC for classes that provide the
__iter__()
method.Checking
isinstance(obj,Iterable)
detects classes that are registered asIterable
or that have an__iter__()
method, but it does not detect classes that iterate with the__getitem__()
method. The only reliable way to determine whether an object isiterable is to calliter(obj)
.
- classcollections.abc.Collection¶
ABC for sized iterable container classes.
Added in version 3.6.
- classcollections.abc.Iterator¶
ABC for classes that provide the
__iter__()
and__next__()
methods. See also the definition of iterator.
- classcollections.abc.Reversible¶
ABC for iterable classes that also provide the
__reversed__()
method.Added in version 3.6.
- classcollections.abc.Generator¶
ABC forgeneratorclasses that implement the protocol defined in PEP 342that extendsiteratorswith the
send()
,throw()
andclose()
methods.SeeAnnotating generators and coroutines for details on using
Generator
in type annotations.Added in version 3.5.
- classcollections.abc.Sequence¶
- classcollections.abc.MutableSequence¶
- classcollections.abc.ByteString¶
ABCs for read-only and mutablesequences.
Implementation note: Some of the mixin methods, such as
__iter__()
,__reversed__()
andindex()
,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 forstopandstart arguments.
Deprecated since version 3.12, will be removed in version 3.14:The
ByteString
ABC has been deprecated. For use in typing, prefer a union, likebytes|bytearray
,orcollections.abc.Buffer
. For use as an ABC, preferSequence
orcollections.abc.Buffer
.
- classcollections.abc.Mapping¶
- classcollections.abc.MutableMapping¶
ABCs for read-only and mutablemappings.
- classcollections.abc.MappingView¶
- classcollections.abc.ItemsView¶
- classcollections.abc.KeysView¶
- classcollections.abc.ValuesView¶
ABCs for mapping, items, keys, and valuesviews.
- classcollections.abc.Awaitable¶
ABC forawaitableobjects, which can be used in
await
expressions. Custom implementations must provide the__await__()
method.Coroutineobjects and instances of the
Coroutine
ABC are all instances of this ABC.Note
In CPython, generator-based coroutines (generators decorated with
@types.coroutine
) are awaitables,even though they do not have an__await__()
method. Usingisinstance(gencoro,Awaitable)
for them will returnFalse
. Useinspect.isawaitable()
to detect them.Added in version 3.5.
- classcollections.abc.Coroutine¶
ABC forcoroutinecompatible classes. These implement the following methods, defined inCoroutine Objects:
send()
,throw()
,andclose()
.Custom implementations must also implement__await__()
.AllCoroutine
instances are also instances ofAwaitable
.Note
In CPython, generator-based coroutines (generators decorated with
@types.coroutine
) are awaitables,even though they do not have an__await__()
method. Usingisinstance(gencoro,Coroutine)
for them will returnFalse
. Useinspect.isawaitable()
to detect them.SeeAnnotating generators and coroutines for details on using
Coroutine
in type annotations. The variance and order of type parameters correspond to those ofGenerator
.Added in version 3.5.
- classcollections.abc.AsyncIterable¶
ABC for classes that provide an
__aiter__
method. See also the definition ofasynchronous iterable.Added in version 3.5.
- classcollections.abc.AsyncIterator¶
ABC for classes that provide
__aiter__
and__anext__
methods. See also the definition ofasynchronous iterator.Added in version 3.5.
- classcollections.abc.AsyncGenerator¶
ABC forasynchronous generatorclasses that implement the protocol defined inPEP 525andPEP 492.
SeeAnnotating generators and coroutines for details on using
AsyncGenerator
in type annotations.Added in version 3.6.
- classcollections.abc.Buffer¶
ABC for classes that provide the
__buffer__()
method, implementing thebuffer protocol.SeePEP 688.Added in version 3.12.
Examples and Recipes¶
ABCs allow us to ask classes or instances if they provide particular functionality, for example:
size=None
ifisinstance(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 fullSet
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__()
andisdisjoint()
:
classListBasedSet(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=[]
forvalueiniterable:
ifvaluenotinlst:
lst.append(value)
def__iter__(self):
returniter(self.elements)
def__contains__(self,value):
returnvalueinself.elements
def__len__(self):
returnlen(self.elements)
s1=ListBasedSet('abcdef')
s2=ListBasedSet('defghi')
overlap=s1&s2# The __and__() method is supported automatically
Notes on usingSet
andMutableSet
as a mixin:
Since some set operations create new sets, the default mixin methods need a way to create new instances from aniterable.The class constructor is assumed to have a signature in the form
ClassName(iterable)
. That assumption is factored-out to an internalclassmethod
called_from_iterable()
which callscls(iterable)
to produce a new set. If theSet
mixin is being used in a class with a different constructor signature, you will need to override_from_iterable()
with a classmethod or regular method that can construct new instances from an iterable argument.To override the comparisons (presumably for speed, as the semantics are fixed), redefine
__le__()
and__ge__()
, then the other operations will automatically follow suit.The
Set
mixin provides a_hash()
method to compute a hash value for the set; however,__hash__()
is not defined because not all sets arehashableor immutable. To add set hashability using mixins, inherit from bothSet()
andHashable()
,then define__hash__=Set._hash
.
See also
OrderedSet recipefor an example built on
MutableSet
.