collections.abc — Abstract Base Classes for Containers¶
Nowe w wersji 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.
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 asIterableor 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.
Nowe w wersji 3.6.
-
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.Nowe w wersji 3.6.
-
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.Nowe w wersji 3.5.
-
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.Zmienione w wersji 3.5: 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
awaitexpressions. Custom implementations must provide the__await__()method.Coroutine objects and instances of the
CoroutineABC are all instances of this ABC.Informacja
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.Nowe w wersji 3.5.
-
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__(). AllCoroutineinstances are also instances ofAwaitable. See also the definition of coroutine.Informacja
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.Nowe w wersji 3.5.
-
class
collections.abc.AsyncIterable¶ ABC for classes that provide
__aiter__method. See also the definition of asynchronous iterable.Nowe w wersji 3.5.
-
class
collections.abc.AsyncIterator¶ ABC for classes that provide
__aiter__and__anext__methods. See also the definition of asynchronous iterator.Nowe w wersji 3.5.
-
class
collections.abc.AsyncGenerator¶ ABC for asynchronous generator classes that implement the protocol defined in PEP 525 and PEP 492.
Nowe w wersji 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:
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 theSetmixin 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
Setmixin 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.
Zobacz także
OrderedSet recipe for an example built on
MutableSet.
