在Python中似乎有很多方法来定义单例对象。对Stack Overflow是否有一致的意见?
当前回答
Python文档涵盖了这些内容:
class Singleton(object):
def __new__(cls, *args, **kwds):
it = cls.__dict__.get("__it__")
if it is not None:
return it
cls.__it__ = it = object.__new__(cls)
it.init(*args, **kwds)
return it
def init(self, *args, **kwds):
pass
我可能会重写成这样:
class Singleton(object):
"""Use to create a singleton"""
def __new__(cls, *args, **kwds):
"""
>>> s = Singleton()
>>> p = Singleton()
>>> id(s) == id(p)
True
"""
it_id = "__it__"
# getattr will dip into base classes, so __dict__ must be used
it = cls.__dict__.get(it_id, None)
if it is not None:
return it
it = object.__new__(cls)
setattr(cls, it_id, it)
it.init(*args, **kwds)
return it
def init(self, *args, **kwds):
pass
class A(Singleton):
pass
class B(Singleton):
pass
class C(A):
pass
assert A() is A()
assert B() is B()
assert C() is C()
assert A() is not B()
assert C() is not B()
assert C() is not A()
它应该是相对干净的扩展:
class Bus(Singleton):
def init(self, label=None, *args, **kwds):
self.label = label
self.channels = [Channel("system"), Channel("app")]
...
其他回答
在Python中实现单例的一个稍微不同的方法是Alex Martelli(谷歌员工和Python天才)的borg模式。
class Borg:
__shared_state = {}
def __init__(self):
self.__dict__ = self.__shared_state
因此,它们共享状态,而不是强制所有实例具有相同的标识。
我的简单解决方案是基于函数参数的默认值。
def getSystemContext(contextObjList=[]):
if len( contextObjList ) == 0:
contextObjList.append( Context() )
pass
return contextObjList[0]
class Context(object):
# Anything you want here
class Singleton(object[,...]):
staticVar1 = None
staticVar2 = None
def __init__(self):
if self.__class__.staticVar1==None :
# create class instance variable for instantiation of class
# assign class instance variable values to class static variables
else:
# assign class static variable values to class instance variables
如果你不想要上面的基于元类的解决方案,并且你不喜欢简单的基于函数装饰器的方法(例如,因为在这种情况下,单例类上的静态方法将不起作用),这种妥协是可行的:
class singleton(object):
"""Singleton decorator."""
def __init__(self, cls):
self.__dict__['cls'] = cls
instances = {}
def __call__(self):
if self.cls not in self.instances:
self.instances[self.cls] = self.cls()
return self.instances[self.cls]
def __getattr__(self, attr):
return getattr(self.__dict__['cls'], attr)
def __setattr__(self, attr, value):
return setattr(self.__dict__['cls'], attr, value)
Python文档涵盖了这些内容:
class Singleton(object):
def __new__(cls, *args, **kwds):
it = cls.__dict__.get("__it__")
if it is not None:
return it
cls.__it__ = it = object.__new__(cls)
it.init(*args, **kwds)
return it
def init(self, *args, **kwds):
pass
我可能会重写成这样:
class Singleton(object):
"""Use to create a singleton"""
def __new__(cls, *args, **kwds):
"""
>>> s = Singleton()
>>> p = Singleton()
>>> id(s) == id(p)
True
"""
it_id = "__it__"
# getattr will dip into base classes, so __dict__ must be used
it = cls.__dict__.get(it_id, None)
if it is not None:
return it
it = object.__new__(cls)
setattr(cls, it_id, it)
it.init(*args, **kwds)
return it
def init(self, *args, **kwds):
pass
class A(Singleton):
pass
class B(Singleton):
pass
class C(A):
pass
assert A() is A()
assert B() is B()
assert C() is C()
assert A() is not B()
assert C() is not B()
assert C() is not A()
它应该是相对干净的扩展:
class Bus(Singleton):
def init(self, label=None, *args, **kwds):
self.label = label
self.channels = [Channel("system"), Channel("app")]
...
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