collections.abc
--- Abstract Base Classes for Containers¶
3.3 版新加入: 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.
Collections Abstract Base Classes¶
The collections module offers the following ABCs:
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-
class
collections.abc.
Container
¶ -
class
collections.abc.
Hashable
¶ -
class
collections.abc.
Sized
¶ -
class
collections.abc.
Callable
¶ ABCs for classes that provide respectively the methods
__contains__()
,__hash__()
,__len__()
, and__call__()
.
-
class
collections.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 is iterable is to calliter(obj)
.
-
class
collections.abc.
Collection
¶ ABC for sized iterable container classes.
3.6 版新加入.
-
class
collections.abc.
Iterator
¶ ABC for classes that provide the
__iter__()
and__next__()
methods. See also the definition of iterator.
-
class
collections.abc.
Reversible
¶ ABC for iterable classes that also provide the
__reversed__()
method.3.6 版新加入.
-
class
collections.abc.
Generator
¶ ABC for generator classes that implement the protocol defined in PEP 342 that extends iterators with the
send()
,throw()
andclose()
methods. See also the definition of generator.3.5 版新加入.
-
class
collections.abc.
Sequence
¶ -
class
collections.abc.
MutableSequence
¶ -
class
collections.abc.
ByteString
¶ ABCs for read-only and mutable sequences.
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.3.5 版更變: The index() method added support for stop and start arguments.
-
class
collections.abc.
Mapping
¶ -
class
collections.abc.
MutableMapping
¶ ABCs for read-only and mutable mappings.
-
class
collections.abc.
MappingView
¶ -
class
collections.abc.
ItemsView
¶ -
class
collections.abc.
KeysView
¶ -
class
collections.abc.
ValuesView
¶ ABCs for mapping, items, keys, and values views.
-
class
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.備註
In CPython, generator-based coroutines (generators decorated with
types.coroutine()
orasyncio.coroutine()
) are awaitables, even though they do not have an__await__()
method. Usingisinstance(gencoro, Awaitable)
for them will returnFalse
. Useinspect.isawaitable()
to detect them.3.5 版新加入.
-
class
collections.abc.
Coroutine
¶ ABC for coroutine compatible classes. These implement the following methods, defined in Coroutine Objects:
send()
,throw()
, andclose()
. Custom implementations must also implement__await__()
. AllCoroutine
instances are also instances ofAwaitable
. See also the definition of coroutine.備註
In CPython, generator-based coroutines (generators decorated with
types.coroutine()
orasyncio.coroutine()
) are awaitables, even though they do not have an__await__()
method. Usingisinstance(gencoro, Coroutine)
for them will returnFalse
. Useinspect.isawaitable()
to detect them.3.5 版新加入.
-
class
collections.abc.
AsyncIterable
¶ ABC for classes that provide
__aiter__
method. See also the definition of asynchronous iterable.3.5 版新加入.
-
class
collections.abc.
AsyncIterator
¶ ABC for classes that provide
__aiter__
and__anext__
methods. See also the definition of asynchronous iterator.3.5 版新加入.
-
class
collections.abc.
AsyncGenerator
¶ ABC for asynchronous generator classes that implement the protocol defined in PEP 525 and PEP 492.
3.6 版新加入.
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:
Since some set operations create new sets, the default mixin methods need a way to create new instances from an iterable. The class constructor is assumed to have a signature in the form
ClassName(iterable)
. That assumption is factored-out to an internal classmethod 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 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 are hashable or immutable. To add set hashability using mixins, inherit from bothSet()
andHashable()
, then define__hash__ = Set._hash
.
也參考
OrderedSet recipe for an example built on
MutableSet
.