Proof read/editing of abc. Added table of collections.Hashable etc. to

collections with some brief notes.
This commit is contained in:
Mark Summerfield 2007-09-05 08:43:04 +00:00
parent fd4a7de172
commit 08898b4b19
2 changed files with 95 additions and 22 deletions

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@ -9,13 +9,18 @@
.. much of the content adapted from docstrings
This module provides the infrastructure for defining abstract base classes
(ABCs) in Python, as outlined in :pep:`3119`; see there for a rationale why this
was added to Python.
(ABCs) in Python, as outlined in :pep:`3119`; see the PEP for why this
was added to Python. (See also, :pep:`3141` regarding a type hierarchy
for numbers based on ABCs.)
Concrete base ABCs to derive from can be found in the :mod:`collections` module.
The :mod:`collections` module has some concrete classes that derive from
ABCs; these can, of course, be further derived. In addition the
:mod:`collections` module has some ABCs that can be used to test whether
a class or instance provides a particular interface, for example, is it
hashable or a mapping.
The module provides the following class:
This module provides the following class:
.. class:: ABCMeta
@ -28,15 +33,24 @@ The module provides the following class:
ABC by the built-in :func:`issubclass` function, but the registering ABC
won't show up in their MRO (Method Resolution Order) nor will method
implementations defined by the registering ABC be callable (not even via
:func:`super`).
:func:`super`). [#]_
Classes created with a metaclass of :class:`ABCMeta` have the following method:
.. method:: register(subclass)
Register *subclass* as a "virtual subclass" of this ABC. From now on,
``issubclass(subclass, ABC)`` is true.
Register *subclass* as a "virtual subclass" of this ABC. For
example::
from abc import ABCMeta
class MyABC(metaclass=ABCMeta):
pass
MyABC.register(tuple)
assert issubclass(tuple, MyABC)
assert isinstance((), MyABC)
You can also override this method in an abstract base class:
@ -93,15 +107,15 @@ The module provides the following class:
:meth:`__iter__`, as an abstract method. The implementation given here can
still be called from subclasses. The :meth:`get_iterator` method is also
part of the ``MyIterable`` abstract base class, but it does not have to be
overridden in a non-abstract child.
overridden in non-abstract derived classes.
The :meth:`__subclasshook__` class method defined here says that any class
that has an :meth:`__iter__` method in its :attr:`__dict__` (or in that of
one of its subclasses, accessed via the :attr:`__mro__`) is considered a
``MyIterable`` too.
one of its base classes, accessed via the :attr:`__mro__` list) is
considered a ``MyIterable`` too.
Finally, the last line makes ``Foo`` a virtual subclass of ``MyIterable``,
even though it does not define a :meth:`__iter__` method (it uses the
even though it does not define an :meth:`__iter__` method (it uses the
old-style iterable protocol, defined in terms of :meth:`__len__` and
:meth:`__getitem__`). Note that this will not make ``get_iterator``
available as a method of ``Foo``, so it is provided separately.
@ -113,9 +127,11 @@ It also provides the following decorators:
A decorator indicating abstract methods.
Using this decorator requires that the metaclass is :class:`ABCMeta` or
derived from it. A class that has a metaclass derived from :class:`ABCMeta`
cannot be instantiated unless all of its abstract methods are overridden.
Using this decorator requires that the class's metaclass is :class:`ABCMeta` or
is derived from it.
A class that has a metaclass derived from :class:`ABCMeta`
cannot be instantiated unless all of its abstract methods and
properties are overridden.
The abstract methods can be called using any of the the normal 'super' call
mechanisms.
@ -134,20 +150,24 @@ It also provides the following decorators:
.. note::
Unlike C++ or Java, these abstract methods may have an implementation.
This implementation can be called via the :func:`super` mechanism from the
class that overrides it. This could be useful as an end-point for a
super-call in framework using a cooperative multiple-inheritance
Unlike C++'s pure virtual functions, or Java abstract methods, these abstract
methods may have an implementation. This implementation can be
called via the :func:`super` mechanism from the class that
overrides it. This could be useful as an end-point for a
super-call in a framework that uses cooperative
multiple-inheritance.
.. function:: abstractproperty(fget[, fset[, fdel[, doc]]])
A subclass of the built-in :func:`property`, indicating an abstract property.
Requires that the metaclass is :class:`ABCMeta` or derived from it. A class
that has a metaclass derived from :class:`ABCMeta` cannot be instantiated
unless all of its abstract properties are overridden. The abstract
properties can be called using any of the the normal 'super' call mechanisms.
Using this function requires that the class's metaclass is :class:`ABCMeta` or
is derived from it.
A class that has a metaclass derived from :class:`ABCMeta` cannot be
instantiated unless all of its abstract methods and properties are overridden.
The abstract properties can be called using any of the normal
'super' call mechanisms.
Usage::
@ -164,3 +184,7 @@ It also provides the following decorators:
def setx(self, value): ...
x = abstractproperty(getx, setx)
.. rubric:: Footnotes
.. [#] C++ programmers should note that Python's virtual base class
concept is not the same as C++'s.

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@ -19,6 +19,55 @@ or file based ordered dictionaries with string keys.
Future editions of the standard library may include balanced trees and
ordered dictionaries.
In addition to containers, the collections module provides some ABCs
(abstract base classes) that can be used to test whether
a class provides a particular interface, for example, is it hashable or
a mapping. The ABCs provided include those in the following table:
===================================== ========================================
ABC Notes
===================================== ========================================
:class:`collections.Container` Defines ``__contains__()``
:class:`collections.Hashable` Defines ``__hash__()``
:class:`collections.Iterable` Defines ``__iter__()``
:class:`collections.Iterator` Derived from :class:`Iterable` and in
addition defines ``__next__()``
:class:`collections.Mapping` Derived from :class:`Container`,
:class:`Iterable`,
and :class:`Sized`, and in addition
defines ``__getitem__()``, ``get()``,
``__contains__()``, ``__len__()``,
``__iter__()``, ``keys()``,
``items()``, and ``values()``
:class:`collections.MutableMapping` Derived from :class:`Mapping`
:class:`collections.MutableSequence` Derived from :class:`Sequence`
:class:`collections.MutableSet` Derived from :class:`Set` and in
addition defines ``add()``,
``clear()``, ``discard()``, ``pop()``,
and ``toggle()``
:class:`collections.Sequence` Derived from :class:`Container`,
:class:`Iterable`, and :class:`Sized`,
and in addition defines
``__getitem__()``
:class:`collections.Set` Derived from :class:`Container`, :class:`Iterable`, and :class:`Sized`
:class:`collections.Sized` Defines ``__len__()``
===================================== ========================================
.. XXX Have not included them all and the notes are imcomplete
.. Deliberately did one row wide to get a neater output
These ABCs allow us to ask classes or instances if they provide
particular functionality, for example::
from collections import Sized
size = None
if isinstance(myvar, Sized):
size = len(myvar)
(For more about ABCs, see the :mod:`abc` module and :pep:`3119`.)
.. _deque-objects: