抽象类的意义可参考PEP3119:Abstract Base Classes。
ABCMeta
ABCMeta在abc(abstract base classes)模块中,是所有抽象类的元类,其源码如下:
class ABCMeta(type):
"""Metaclass for defining Abstract Base Classes (ABCs).
Use this metaclass to create an ABC. An ABC can be subclassed
directly, and then acts as a mix-in class. You can also register
unrelated concrete classes (even built-in classes) and unrelated
ABCs as 'virtual subclasses' -- these and their descendants will
be considered subclasses of the registering ABC by the built-in
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 super()).
"""
# A global counter that is incremented each time a class is
# registered as a virtual subclass of anything. It forces the
# negative cache to be cleared before its next use.
# Note: this counter is private. Use `abc.get_cache_token()` for
# external code.
_abc_invalidation_counter = 0
def __new__(mcls, name, bases, namespace):
cls = super().__new__(mcls, name, bases, namespace)
# Compute set of abstract method names
abstracts = {name
for name, value in namespace.items()
if getattr(value, "__isabstractmethod__", False)}
for base in bases:
for name in getattr(base, "__abstractmethods__", set()):
value = getattr(cls, name, None)
if getattr(value, "__isabstractmethod__", False):
abstracts.add(name)
cls.__abstractmethods__ = frozenset(abstracts)
# Set up inheritance registry
cls._abc_registry = WeakSet()
cls._abc_cache = WeakSet()
cls._abc_negative_cache = WeakSet()
cls._abc_negative_cache_version = ABCMeta._abc_invalidation_counter
return cls
def register(cls, subclass):
"""Register a virtual subclass of an ABC.
Returns the subclass, to allow usage as a class decorator.
"""
if not isinstance(subclass, type):
raise TypeError("Can only register classes")
if issubclass(subclass, cls):
return subclass # Already a subclass
# Subtle: test for cycles *after* testing for "already a subclass";
# this means we allow X.register(X) and interpret it as a no-op.
if issubclass(cls, subclass):
# This would create a cycle, which is bad for the algorithm below
raise RuntimeError("Refusing to create an inheritance cycle")
cls._abc_registry.add(subclass)
ABCMeta._abc_invalidation_counter += 1 # Invalidate negative cache
return subclass
def _dump_registry(cls, file=None):
"""Debug helper to print the ABC registry."""
print("Class: %s.%s" % (cls.__module__, cls.__qualname__), file=file)
print("Inv.counter: %s" % ABCMeta._abc_invalidation_counter, file=file)
for name in sorted(cls.__dict__.keys()):
if name.startswith("_abc_"):
value = getattr(cls, name)
print("%s: %r" % (name, value), file=file)
def __instancecheck__(cls, instance):
"""Override for isinstance(instance, cls)."""
# Inline the cache checking
subclass = instance.__class__
if subclass in cls._abc_cache:
return True
subtype = type(instance)
if subtype is subclass:
if (cls._abc_negative_cache_version ==
ABCMeta._abc_invalidation_counter and
subclass in cls._abc_negative_cache):
return False
# Fall back to the subclass check.
return cls.__subclasscheck__(subclass)
return any(cls.__subclasscheck__(c) for c in {subclass, subtype})
def __subclasscheck__(cls, subclass):
"""Override for issubclass(subclass, cls)."""
# Check cache
if subclass in cls._abc_cache:
return True
# Check negative cache; may have to invalidate
if cls._abc_negative_cache_version < ABCMeta._abc_invalidation_counter:
# Invalidate the negative cache
cls._abc_negative_cache = WeakSet()
cls._abc_negative_cache_version = ABCMeta._abc_invalidation_counter
elif subclass in cls._abc_negative_cache:
return False
# Check the subclass hook
ok = cls.__subclasshook__(subclass)
if ok is not NotImplemented:
assert isinstance(ok, bool)
if ok:
cls._abc_cache.add(subclass)
else:
cls._abc_negative_cache.add(subclass)
return ok
# Check if it's a direct subclass
if cls in getattr(subclass, '__mro__', ()):
cls._abc_cache.add(subclass)
return True
# Check if it's a subclass of a registered class (recursive)
for rcls in cls._abc_registry:
if issubclass(subclass, rcls):
cls._abc_cache.add(subclass)
return True
# Check if it's a subclass of a subclass (recursive)
for scls in cls.__subclasses__():
if issubclass(subclass, scls):
cls._abc_cache.add(subclass)
return True
# No dice; update negative cache
cls._abc_negative_cache.add(subclass)
return False
重写built-in函数中isinstance()和issubclass()
当调用isinstance(x,C)时,首先检查C.__instance__存不存在,如果存在,则调用C.instance(x); issubclass()同样。
class ABCMeta(type):
def __instancecheck__(cls, inst):
"""Implement isinstance(inst, cls)."""
return any(cls.__subclasscheck__(c)
for c in {type(inst), inst.__class__})
def __subclasscheck__(cls, sub):
"""Implement issubclass(sub, cls)."""
candidates = cls.__dict__.get("__subclass__", set()) | {cls}
return any(c in candidates for c in sub.mro())
class Sequence(metaclass=ABCMeta):
__subclass__ = {list, tuple}
assert issubclass(list, Sequence)
assert issubclass(tuple, Sequence)
class AppendableSequence(Sequence):
__subclass__ = {list}
assert issubclass(list, AppendableSequence)
assert isinstance([], AppendableSequence)
assert not issubclass(tuple, AppendableSequence)
assert not isinstance((), AppendableSequence)
用处:如上可以用抽象类定义一个新的抽象类。
abstractmethod
# encoding: utf-8
from abc import ABCMeta, abstractmethod
class AbstractTest(metaclass=ABCMeta):
# 抽象方法可以有具体的函数实现,可以被子类通过super()调用
@abstractmethod
def add(self, a, b):
return a+b
def sub(self):
print("world")
class Test(AbstractTest):
def __init__(self, a, b):
self.a = a
self.b = b
def add(self):
print(super().add(self.a, self.b))
print("hello")
test = Test(4, 8)
test.add()
test.sub()
输出:
12
hello
world
super()
super也是一个built-in类,调用父类的顺序按照mro顺序。