问题:
This question is not for the discussion of whether or not the singleton design pattern is desirable, is an anti-pattern, or for any religious wars, but to discuss how this pattern is best implemented in Python in such a way that is most pythonic. 这个问题不是为了讨论是否需要单例设计模式 ,是否是反模式,还是针对任何宗教战争,而是要讨论如何以最pythonic的方式在Python中最好地实现此模式。 In this instance I define 'most pythonic' to mean that it follows the 'principle of least astonishment' . 在这种情况下,我定义“最pythonic”来表示它遵循“最少惊讶的原理” 。
I have multiple classes which would become singletons (my use-case is for a logger, but this is not important). 我有多个将成为单例的类(我的用例用于记录器,但这并不重要)。 I do not wish to clutter several classes with added gumph when I can simply inherit or decorate. 当我可以简单地继承或修饰时,我不希望增加gumph来使几个类杂乱无章。
Best methods: 最佳方法:
Method 1: A decorator 方法1:装饰器
def singleton(class_):
instances = {}
def getinstance(*args, **kwargs):
if class_ not in instances:
instances[class_] = class_(*args, **kwargs)
return instances[class_]
return getinstance
@singleton
class MyClass(BaseClass):
pass
Pros 优点
- Decorators are additive in a way that is often more intuitive than multiple inheritance. 装饰器的添加方式通常比多重继承更直观。
Cons 缺点
- While objects created using MyClass() would be true singleton objects, MyClass itself is aa function, not a class, so you cannot call class methods from it. 使用MyClass()创建的对象将是真正的单例对象,而MyClass本身是一个函数,而不是类,因此您不能从中调用类方法。 Also for
m = MyClass(); n = MyClass(); o = type(n)();
同样对于m = MyClass(); n = MyClass(); o = type(n)();
m = MyClass(); n = MyClass(); o = type(n)();
thenm == n && m != o && n != o
然后m == n && m != o && n != o
Method 2: A base class 方法2:一个基类
class Singleton(object):
_instance = None
def __new__(class_, *args, **kwargs):
if not isinstance(class_._instance, class_):
class_._instance = object.__new__(class_, *args, **kwargs)
return class_._instance
class MyClass(Singleton, BaseClass):
pass
Pros 优点
- It's a true class 这是一个真正的课堂
Cons 缺点
- Multiple inheritance - eugh! 多重继承-好!
__new__
could be overwritten during inheritance from a second base class?__new__
是否可以在从第二个基类继承时被覆盖? One has to think more than is necessary. 人们必须思考的超出了必要。
Method 3: A metaclass 方法3: 元类
class Singleton(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._instances:
cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs)
return cls._instances[cls]
#Python2
class MyClass(BaseClass):
__metaclass__ = Singleton
#Python3
class MyClass(BaseClass, metaclass=Singleton):
pass
Pros 优点
- It's a true class 这是一个真正的课堂
- Auto-magically covers inheritance 自动神奇地涵盖继承
- Uses
__metaclass__
for its proper purpose (and made me aware of it) 将__metaclass__
用于其适当的目的(并使我意识到这一点)
Cons 缺点
- Are there any? 有吗
Method 4: decorator returning a class with the same name 方法4:装饰器返回具有相同名称的类
def singleton(class_):
class class_w(class_):
_instance = None
def __new__(class_, *args, **kwargs):
if class_w._instance is None:
class_w._instance = super(class_w,
class_).__new__(class_,
*args,
**kwargs)
class_w._instance._sealed = False
return class_w._instance
def __init__(self, *args, **kwargs):
if self._sealed:
return
super(class_w, self).__init__(*args, **kwargs)
self._sealed = True
class_w.__name__ = class_.__name__
return class_w
@singleton
class MyClass(BaseClass):
pass
Pros 优点
- It's a true class 这是一个真正的课堂
- Auto-magically covers inheritance 自动神奇地涵盖继承
Cons 缺点
- Is there not an overhead for creating each new class? 创建每个新类没有开销吗? Here we are creating two classes for each class we wish to make a singleton. 在这里,我们为希望创建单例的每个类创建两个类。 While this is fine in my case, I worry that this might not scale. 虽然这对我来说很好,但我担心这可能无法扩展。 Of course there is a matter of debate as to whether it aught to be too easy to scale this pattern... 当然,要扩展这种模式是否太容易了还有争议。
- What is the point of the
_sealed
attribute_sealed
属性的意义是什么 - Can't call methods of the same name on base classes using
super()
because they will recurse. 无法使用super()
在基类上调用相同名称的方法,因为它们会递归。 This means you can't customize__new__
and can't subclass a class that needs you to call up to__init__
. 这意味着您不能自定义__new__
,也不能将需要调用__init__
类作为子类。
Method 5: a module 方法5:一个模块
a module file singleton.py
一个模块文件singleton.py
Pros 优点
- Simple is better than complex 简单胜于复杂
Cons 缺点
解决方案:
参考一: https://stackoom.com/question/SMlJ/在Python中创建单例参考二: https://oldbug.net/q/SMlJ/Creating-a-singleton-in-Python
来源:oschina
链接:https://my.oschina.net/u/4438370/blog/3296241