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			227 lines
		
	
	
	
		
			7.7 KiB
		
	
	
	
		
			ReStructuredText
		
	
	
	
	
	
:mod:`abc` --- Abstract Base Classes
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====================================
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.. module:: abc
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   :synopsis: Abstract base classes according to PEP 3119.
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.. moduleauthor:: Guido van Rossum
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.. sectionauthor:: Georg Brandl
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.. much of the content adapted from docstrings
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**Source code:** :source:`Lib/abc.py`
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--------------
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This module provides the infrastructure for defining an :term:`abstract base
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class` (ABCs) in Python, as outlined in :pep:`3119`; see the PEP for why this
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was added to Python. (See also :pep:`3141` and the :mod:`numbers` module
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regarding a type hierarchy for numbers based on ABCs.)
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The :mod:`collections` module has some concrete classes that derive from
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ABCs; these can, of course, be further derived. In addition the
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:mod:`collections` module has some ABCs that can be used to test whether
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a class or instance provides a particular interface, for example, is it
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hashable or a mapping.
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This module provides the following class:
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.. class:: ABCMeta
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   Metaclass for defining Abstract Base Classes (ABCs).
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   Use this metaclass to create an ABC.  An ABC can be subclassed directly, and
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   then acts as a mix-in class.  You can also register unrelated concrete
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   classes (even built-in classes) and unrelated ABCs as "virtual subclasses" --
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   these and their descendants will be considered subclasses of the registering
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   ABC by the built-in :func:`issubclass` function, but the registering ABC
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   won't show up in their MRO (Method Resolution Order) nor will method
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   implementations defined by the registering ABC be callable (not even via
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   :func:`super`). [#]_
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   Classes created with a metaclass of :class:`ABCMeta` have the following method:
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   .. method:: register(subclass)
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      Register *subclass* as a "virtual subclass" of this ABC. For
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      example::
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        from abc import ABCMeta
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        class MyABC(metaclass=ABCMeta):
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            pass
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        MyABC.register(tuple)
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        assert issubclass(tuple, MyABC)
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        assert isinstance((), MyABC)
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      .. versionchanged:: 3.3
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         Returns the registered subclass, to allow usage as a class decorator.
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   You can also override this method in an abstract base class:
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   .. method:: __subclasshook__(subclass)
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      (Must be defined as a class method.)
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      Check whether *subclass* is considered a subclass of this ABC.  This means
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      that you can customize the behavior of ``issubclass`` further without the
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      need to call :meth:`register` on every class you want to consider a
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      subclass of the ABC.  (This class method is called from the
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      :meth:`__subclasscheck__` method of the ABC.)
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      This method should return ``True``, ``False`` or ``NotImplemented``.  If
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      it returns ``True``, the *subclass* is considered a subclass of this ABC.
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      If it returns ``False``, the *subclass* is not considered a subclass of
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      this ABC, even if it would normally be one.  If it returns
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      ``NotImplemented``, the subclass check is continued with the usual
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      mechanism.
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      .. XXX explain the "usual mechanism"
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   For a demonstration of these concepts, look at this example ABC definition::
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      class Foo:
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          def __getitem__(self, index):
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              ...
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          def __len__(self):
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              ...
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          def get_iterator(self):
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              return iter(self)
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      class MyIterable(metaclass=ABCMeta):
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          @abstractmethod
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          def __iter__(self):
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              while False:
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                  yield None
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          def get_iterator(self):
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              return self.__iter__()
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          @classmethod
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          def __subclasshook__(cls, C):
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              if cls is MyIterable:
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                  if any("__iter__" in B.__dict__ for B in C.__mro__):
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                      return True
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              return NotImplemented
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      MyIterable.register(Foo)
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   The ABC ``MyIterable`` defines the standard iterable method,
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   :meth:`__iter__`, as an abstract method.  The implementation given here can
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   still be called from subclasses.  The :meth:`get_iterator` method is also
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   part of the ``MyIterable`` abstract base class, but it does not have to be
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   overridden in non-abstract derived classes.
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   The :meth:`__subclasshook__` class method defined here says that any class
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   that has an :meth:`__iter__` method in its :attr:`__dict__` (or in that of
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   one of its base classes, accessed via the :attr:`__mro__` list) is
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   considered a ``MyIterable`` too.
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   Finally, the last line makes ``Foo`` a virtual subclass of ``MyIterable``,
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   even though it does not define an :meth:`__iter__` method (it uses the
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   old-style iterable protocol, defined in terms of :meth:`__len__` and
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   :meth:`__getitem__`).  Note that this will not make ``get_iterator``
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   available as a method of ``Foo``, so it is provided separately.
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It also provides the following decorators:
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.. decorator:: abstractmethod(function)
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   A decorator indicating abstract methods.
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   Using this decorator requires that the class's metaclass is :class:`ABCMeta` or
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   is derived from it.
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   A class that has a metaclass derived from :class:`ABCMeta`
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   cannot be instantiated unless all of its abstract methods and
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   properties are overridden.
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   The abstract methods can be called using any of the normal 'super' call
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   mechanisms.
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   Dynamically adding abstract methods to a class, or attempting to modify the
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   abstraction status of a method or class once it is created, are not
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   supported.  The :func:`abstractmethod` only affects subclasses derived using
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   regular inheritance; "virtual subclasses" registered with the ABC's
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   :meth:`register` method are not affected.
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   Usage::
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      class C(metaclass=ABCMeta):
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          @abstractmethod
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          def my_abstract_method(self, ...):
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              ...
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   .. note::
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      Unlike Java abstract methods, these abstract
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      methods may have an implementation. This implementation can be
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      called via the :func:`super` mechanism from the class that
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      overrides it.  This could be useful as an end-point for a
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      super-call in a framework that uses cooperative
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      multiple-inheritance.
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.. decorator:: abstractclassmethod(function)
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   A subclass of the built-in :func:`classmethod`, indicating an abstract
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   classmethod. Otherwise it is similar to :func:`abstractmethod`.
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   Usage::
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      class C(metaclass=ABCMeta):
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          @abstractclassmethod
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          def my_abstract_classmethod(cls, ...):
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              ...
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   .. versionadded:: 3.2
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.. decorator:: abstractstaticmethod(function)
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   A subclass of the built-in :func:`staticmethod`, indicating an abstract
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   staticmethod. Otherwise it is similar to :func:`abstractmethod`.
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   Usage::
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      class C(metaclass=ABCMeta):
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          @abstractstaticmethod
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          def my_abstract_staticmethod(...):
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              ...
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   .. versionadded:: 3.2
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.. function:: abstractproperty(fget=None, fset=None, fdel=None, doc=None)
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   A subclass of the built-in :func:`property`, indicating an abstract property.
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   Using this function requires that the class's metaclass is :class:`ABCMeta` or
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   is derived from it.
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   A class that has a metaclass derived from :class:`ABCMeta` cannot be
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   instantiated unless all of its abstract methods and properties are overridden.
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   The abstract properties can be called using any of the normal
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   'super' call mechanisms.
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   Usage::
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      class C(metaclass=ABCMeta):
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          @abstractproperty
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          def my_abstract_property(self):
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              ...
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   This defines a read-only property; you can also define a read-write abstract
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   property using the 'long' form of property declaration::
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      class C(metaclass=ABCMeta):
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          def getx(self): ...
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          def setx(self, value): ...
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          x = abstractproperty(getx, setx)
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.. rubric:: Footnotes
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.. [#] C++ programmers should note that Python's virtual base class
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   concept is not the same as C++'s.
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