Python中可以使用静态类变量吗?

问题:Python中可以使用静态类变量吗?

Python中是否可以有静态类变量或方法?为此需要什么语法?

Is it possible to have static class variables or methods in Python? What syntax is required to do this?


回答 0

在类定义中声明但在方法内部声明的变量是类或静态变量:

>>> class MyClass:
...     i = 3
...
>>> MyClass.i
3 

正如@ millerdev指出的那样,这将创建一个类级别的i变量,但这不同于任何实例级别的i变量,因此您可以

>>> m = MyClass()
>>> m.i = 4
>>> MyClass.i, m.i
>>> (3, 4)

这与C ++和Java不同,但与C#并没有太大区别,在C#中,无法使用对实例的引用来访问静态成员。

了解有关类和类对象的Python教程必须说些什么

@Steve Johnson已经回答了有关静态方法的问题,该方法也记录在Python Library Reference中的“内置函数”下

class C:
    @staticmethod
    def f(arg1, arg2, ...): ...

@beidy建议使用classmethod而不是staticmethod,因为该方法随后将类类型作为第一个参数,但是对于这种方法相对于staticmethod的优势,我还是有些模糊。如果您也是,那可能没关系。

Variables declared inside the class definition, but not inside a method are class or static variables:

>>> class MyClass:
...     i = 3
...
>>> MyClass.i
3 

As @millerdev points out, this creates a class-level i variable, but this is distinct from any instance-level i variable, so you could have

>>> m = MyClass()
>>> m.i = 4
>>> MyClass.i, m.i
>>> (3, 4)

This is different from C++ and Java, but not so different from C#, where a static member can’t be accessed using a reference to an instance.

See what the Python tutorial has to say on the subject of classes and class objects.

@Steve Johnson has already answered regarding static methods, also documented under “Built-in Functions” in the Python Library Reference.

class C:
    @staticmethod
    def f(arg1, arg2, ...): ...

@beidy recommends classmethods over staticmethod, as the method then receives the class type as the first argument, but I’m still a little fuzzy on the advantages of this approach over staticmethod. If you are too, then it probably doesn’t matter.


回答 1

@Blair Conrad说,在类定义中声明但在方法内部声明的静态变量是类或“静态”变量:

>>> class Test(object):
...     i = 3
...
>>> Test.i
3

这里有一些陷阱。从上面的示例继续进行:

>>> t = Test()
>>> t.i     # "static" variable accessed via instance
3
>>> t.i = 5 # but if we assign to the instance ...
>>> Test.i  # we have not changed the "static" variable
3
>>> t.i     # we have overwritten Test.i on t by creating a new attribute t.i
5
>>> Test.i = 6 # to change the "static" variable we do it by assigning to the class
>>> t.i
5
>>> Test.i
6
>>> u = Test()
>>> u.i
6           # changes to t do not affect new instances of Test

# Namespaces are one honking great idea -- let's do more of those!
>>> Test.__dict__
{'i': 6, ...}
>>> t.__dict__
{'i': 5}
>>> u.__dict__
{}

请注意,直接t.i将属性i设置为时,实例变量如何与“静态”类变量不同步t。这是因为i已在t命名空间中重新绑定,这与Test命名空间不同。如果要更改“静态”变量的值,则必须在其最初定义的范围(或对象)内进行更改。我将“ static”用引号引起来,因为Python实际上没有C ++和Java所具有的静态变量。

尽管它没有对静态变量或方法进行任何具体说明,但是Python教程提供了有关类和类对象的一些相关信息。

@Steve Johnson还回答了有关静态方法的问题,该方法也记录在Python库参考的“内置函数”下。

class Test(object):
    @staticmethod
    def f(arg1, arg2, ...):
        ...

@beid还提到了classmethod,它与staticmethod相似。类方法的第一个参数是类对象。例:

class Test(object):
    i = 3 # class (or static) variable
    @classmethod
    def g(cls, arg):
        # here we can use 'cls' instead of the class name (Test)
        if arg > cls.i:
            cls.i = arg # would be the same as Test.i = arg1

@Blair Conrad said static variables declared inside the class definition, but not inside a method are class or “static” variables:

>>> class Test(object):
...     i = 3
...
>>> Test.i
3

There are a few gotcha’s here. Carrying on from the example above:

>>> t = Test()
>>> t.i     # "static" variable accessed via instance
3
>>> t.i = 5 # but if we assign to the instance ...
>>> Test.i  # we have not changed the "static" variable
3
>>> t.i     # we have overwritten Test.i on t by creating a new attribute t.i
5
>>> Test.i = 6 # to change the "static" variable we do it by assigning to the class
>>> t.i
5
>>> Test.i
6
>>> u = Test()
>>> u.i
6           # changes to t do not affect new instances of Test

# Namespaces are one honking great idea -- let's do more of those!
>>> Test.__dict__
{'i': 6, ...}
>>> t.__dict__
{'i': 5}
>>> u.__dict__
{}

Notice how the instance variable t.i got out of sync with the “static” class variable when the attribute i was set directly on t. This is because i was re-bound within the t namespace, which is distinct from the Test namespace. If you want to change the value of a “static” variable, you must change it within the scope (or object) where it was originally defined. I put “static” in quotes because Python does not really have static variables in the sense that C++ and Java do.

Although it doesn’t say anything specific about static variables or methods, the Python tutorial has some relevant information on classes and class objects.

@Steve Johnson also answered regarding static methods, also documented under “Built-in Functions” in the Python Library Reference.

class Test(object):
    @staticmethod
    def f(arg1, arg2, ...):
        ...

@beid also mentioned classmethod, which is similar to staticmethod. A classmethod’s first argument is the class object. Example:

class Test(object):
    i = 3 # class (or static) variable
    @classmethod
    def g(cls, arg):
        # here we can use 'cls' instead of the class name (Test)
        if arg > cls.i:
            cls.i = arg # would be the same as Test.i = arg1


回答 2

静态和类方法

正如其他答案所指出的,使用内置装饰器可以轻松实现静态和类方法:

class Test(object):

    # regular instance method:
    def MyMethod(self):
        pass

    # class method:
    @classmethod
    def MyClassMethod(klass):
        pass

    # static method:
    @staticmethod
    def MyStaticMethod():
        pass

通常,第一个参数to MyMethod()绑定到类实例对象。与此相反,第一个参数MyClassMethod()绑定到类对象本身(例如,在这种情况下,Test)。对于MyStaticMethod(),没有参数绑定,并且完全没有参数是可选的。

“静态变量”

然而,实现“静态变量”(无论如何,可变静态变量,如果这不是一个矛盾的话……)并不是那么简单。正如millerdev 在回答中指出的那样,问题在于Python的类属性并不是真正的“静态变量”。考虑:

class Test(object):
    i = 3  # This is a class attribute

x = Test()
x.i = 12   # Attempt to change the value of the class attribute using x instance
assert x.i == Test.i  # ERROR
assert Test.i == 3    # Test.i was not affected
assert x.i == 12      # x.i is a different object than Test.i

这是因为该行x.i = 12向其中添加了新的实例属性ix而不是更改Testclass i属性的值。

可以通过将class属性变成属性来实现部分预期的静态变量行为,即,多个实例之间的属性同步(但与类本身同步;请参见下面的“陷阱”):

class Test(object):

    _i = 3

    @property
    def i(self):
        return type(self)._i

    @i.setter
    def i(self,val):
        type(self)._i = val

## ALTERNATIVE IMPLEMENTATION - FUNCTIONALLY EQUIVALENT TO ABOVE ##
## (except with separate methods for getting and setting i) ##

class Test(object):

    _i = 3

    def get_i(self):
        return type(self)._i

    def set_i(self,val):
        type(self)._i = val

    i = property(get_i, set_i)

现在您可以执行以下操作:

x1 = Test()
x2 = Test()
x1.i = 50
assert x2.i == x1.i  # no error
assert x2.i == 50    # the property is synced

现在,静态变量将在所有类实例之间保持同步。

(注意:也就是说,除非类实例决定定义其自己的版本_i!但是,如果有人决定执行该操作,那么他们应得的是什么,不是吗???)

请注意,从技术上讲,i它仍然根本不是“静态变量”。它是property,这是一种特殊类型的描述符。但是,该property行为现在等同于跨所有类实例同步的(可变)静态变量。

不变的“静态变量”

对于不可变的静态变量行为,只需省略propertysetter:

class Test(object):

    _i = 3

    @property
    def i(self):
        return type(self)._i

## ALTERNATIVE IMPLEMENTATION - FUNCTIONALLY EQUIVALENT TO ABOVE ##
## (except with separate methods for getting i) ##

class Test(object):

    _i = 3

    def get_i(self):
        return type(self)._i

    i = property(get_i)

现在尝试设置实例i属性将返回AttributeError

x = Test()
assert x.i == 3  # success
x.i = 12         # ERROR

要意识到的一个陷阱

请注意,上述方法只能用工作实例类的-他们会工作使用类本身时。因此,例如:

x = Test()
assert x.i == Test.i  # ERROR

# x.i and Test.i are two different objects:
type(Test.i)  # class 'property'
type(x.i)     # class 'int'

assert Test.i == x.i产生一个错误,这是因为i的属性Testx是两个不同的对象。

许多人会发现这令人惊讶。但是,事实并非如此。如果我们返回并检查Test类定义(第二个版本),请注意以下这一行:

    i = property(get_i) 

显然,部件iTest必须是一个property对象,该对象是对象的从返回的类型property的功能。

如果您发现上述混淆,您很可能仍会从其他语言(例如Java或c ++)的角度考虑它。您应该研究property对象,有关返回Python属性的顺序,描述符协议和方法解析顺序(MRO)。

我在下面提出了上述“陷阱”的解决方案;但是,我建议-努力-除非您完全理解为什么assert Test.i = x.i会导致错误,否则不要尝试执行以下操作。

REAL,ACTUAL静态变量-Test.i == x.i

我仅在下面提供(Python 3)解决方案,仅供参考。我不赞成将其作为“好的解决方案”。我对是否真的有必要在Python中模拟其他语言的静态变量行为感到怀疑。但是,不管它是否真的有用,下面的内容应有助于进一步了解Python的工作方式。

更新:这种尝试确实非常糟糕;如果您坚持要做这样的事情(提示:请不要; Python是一种非常优雅的语言,并且不需要像其他语言那样勉强地表现出来),请改用Ethan Furman的答案中的代码。

使用元类模拟其他语言的静态变量行为

元类是类的类。Python中所有类的默认元类(即,我认为Python 2.3之后的“新样式”类)是type。例如:

type(int)  # class 'type'
type(str)  # class 'type'
class Test(): pass
type(Test) # class 'type'

但是,您可以这样定义自己的元类:

class MyMeta(type): pass

并将其应用于您自己的类(仅适用于Python 3):

class MyClass(metaclass = MyMeta):
    pass

type(MyClass)  # class MyMeta

下面是我创建的元类,它试图模仿其他语言的“静态变量”行为。它基本上是通过将默认的getter,setter和deleter替换为版本来工作的,该版本检查以查看所请求的属性是否为“静态变量”。

“静态变量”的目录存储在StaticVarMeta.statics属性中。最初尝试使用替代解决顺序解决所有属性请求。我将其称为“静态解决方案命令”或“ SRO”。这是通过在给定类(或其父类)的“静态变量”集中查找请求的属性来完成的。如果该属性未出现在“ SRO”中,则该类将回退到默认属性的“获取/设置/删除”行为(即“ MRO”)。

from functools import wraps

class StaticVarsMeta(type):
    '''A metaclass for creating classes that emulate the "static variable" behavior
    of other languages. I do not advise actually using this for anything!!!

    Behavior is intended to be similar to classes that use __slots__. However, "normal"
    attributes and __statics___ can coexist (unlike with __slots__). 

    Example usage: 

        class MyBaseClass(metaclass = StaticVarsMeta):
            __statics__ = {'a','b','c'}
            i = 0  # regular attribute
            a = 1  # static var defined (optional)

        class MyParentClass(MyBaseClass):
            __statics__ = {'d','e','f'}
            j = 2              # regular attribute
            d, e, f = 3, 4, 5  # Static vars
            a, b, c = 6, 7, 8  # Static vars (inherited from MyBaseClass, defined/re-defined here)

        class MyChildClass(MyParentClass):
            __statics__ = {'a','b','c'}
            j = 2  # regular attribute (redefines j from MyParentClass)
            d, e, f = 9, 10, 11   # Static vars (inherited from MyParentClass, redefined here)
            a, b, c = 12, 13, 14  # Static vars (overriding previous definition in MyParentClass here)'''
    statics = {}
    def __new__(mcls, name, bases, namespace):
        # Get the class object
        cls = super().__new__(mcls, name, bases, namespace)
        # Establish the "statics resolution order"
        cls.__sro__ = tuple(c for c in cls.__mro__ if isinstance(c,mcls))

        # Replace class getter, setter, and deleter for instance attributes
        cls.__getattribute__ = StaticVarsMeta.__inst_getattribute__(cls, cls.__getattribute__)
        cls.__setattr__ = StaticVarsMeta.__inst_setattr__(cls, cls.__setattr__)
        cls.__delattr__ = StaticVarsMeta.__inst_delattr__(cls, cls.__delattr__)
        # Store the list of static variables for the class object
        # This list is permanent and cannot be changed, similar to __slots__
        try:
            mcls.statics[cls] = getattr(cls,'__statics__')
        except AttributeError:
            mcls.statics[cls] = namespace['__statics__'] = set() # No static vars provided
        # Check and make sure the statics var names are strings
        if any(not isinstance(static,str) for static in mcls.statics[cls]):
            typ = dict(zip((not isinstance(static,str) for static in mcls.statics[cls]), map(type,mcls.statics[cls])))[True].__name__
            raise TypeError('__statics__ items must be strings, not {0}'.format(typ))
        # Move any previously existing, not overridden statics to the static var parent class(es)
        if len(cls.__sro__) > 1:
            for attr,value in namespace.items():
                if attr not in StaticVarsMeta.statics[cls] and attr != ['__statics__']:
                    for c in cls.__sro__[1:]:
                        if attr in StaticVarsMeta.statics[c]:
                            setattr(c,attr,value)
                            delattr(cls,attr)
        return cls
    def __inst_getattribute__(self, orig_getattribute):
        '''Replaces the class __getattribute__'''
        @wraps(orig_getattribute)
        def wrapper(self, attr):
            if StaticVarsMeta.is_static(type(self),attr):
                return StaticVarsMeta.__getstatic__(type(self),attr)
            else:
                return orig_getattribute(self, attr)
        return wrapper
    def __inst_setattr__(self, orig_setattribute):
        '''Replaces the class __setattr__'''
        @wraps(orig_setattribute)
        def wrapper(self, attr, value):
            if StaticVarsMeta.is_static(type(self),attr):
                StaticVarsMeta.__setstatic__(type(self),attr, value)
            else:
                orig_setattribute(self, attr, value)
        return wrapper
    def __inst_delattr__(self, orig_delattribute):
        '''Replaces the class __delattr__'''
        @wraps(orig_delattribute)
        def wrapper(self, attr):
            if StaticVarsMeta.is_static(type(self),attr):
                StaticVarsMeta.__delstatic__(type(self),attr)
            else:
                orig_delattribute(self, attr)
        return wrapper
    def __getstatic__(cls,attr):
        '''Static variable getter'''
        for c in cls.__sro__:
            if attr in StaticVarsMeta.statics[c]:
                try:
                    return getattr(c,attr)
                except AttributeError:
                    pass
        raise AttributeError(cls.__name__ + " object has no attribute '{0}'".format(attr))
    def __setstatic__(cls,attr,value):
        '''Static variable setter'''
        for c in cls.__sro__:
            if attr in StaticVarsMeta.statics[c]:
                setattr(c,attr,value)
                break
    def __delstatic__(cls,attr):
        '''Static variable deleter'''
        for c in cls.__sro__:
            if attr in StaticVarsMeta.statics[c]:
                try:
                    delattr(c,attr)
                    break
                except AttributeError:
                    pass
        raise AttributeError(cls.__name__ + " object has no attribute '{0}'".format(attr))
    def __delattr__(cls,attr):
        '''Prevent __sro__ attribute from deletion'''
        if attr == '__sro__':
            raise AttributeError('readonly attribute')
        super().__delattr__(attr)
    def is_static(cls,attr):
        '''Returns True if an attribute is a static variable of any class in the __sro__'''
        if any(attr in StaticVarsMeta.statics[c] for c in cls.__sro__):
            return True
        return False

Static and Class Methods

As the other answers have noted, static and class methods are easily accomplished using the built-in decorators:

class Test(object):

    # regular instance method:
    def MyMethod(self):
        pass

    # class method:
    @classmethod
    def MyClassMethod(klass):
        pass

    # static method:
    @staticmethod
    def MyStaticMethod():
        pass

As usual, the first argument to MyMethod() is bound to the class instance object. In contrast, the first argument to MyClassMethod() is bound to the class object itself (e.g., in this case, Test). For MyStaticMethod(), none of the arguments are bound, and having arguments at all is optional.

“Static Variables”

However, implementing “static variables” (well, mutable static variables, anyway, if that’s not a contradiction in terms…) is not as straight forward. As millerdev pointed out in his answer, the problem is that Python’s class attributes are not truly “static variables”. Consider:

class Test(object):
    i = 3  # This is a class attribute

x = Test()
x.i = 12   # Attempt to change the value of the class attribute using x instance
assert x.i == Test.i  # ERROR
assert Test.i == 3    # Test.i was not affected
assert x.i == 12      # x.i is a different object than Test.i

This is because the line x.i = 12 has added a new instance attribute i to x instead of changing the value of the Test class i attribute.

Partial expected static variable behavior, i.e., syncing of the attribute between multiple instances (but not with the class itself; see “gotcha” below), can be achieved by turning the class attribute into a property:

class Test(object):

    _i = 3

    @property
    def i(self):
        return type(self)._i

    @i.setter
    def i(self,val):
        type(self)._i = val

## ALTERNATIVE IMPLEMENTATION - FUNCTIONALLY EQUIVALENT TO ABOVE ##
## (except with separate methods for getting and setting i) ##

class Test(object):

    _i = 3

    def get_i(self):
        return type(self)._i

    def set_i(self,val):
        type(self)._i = val

    i = property(get_i, set_i)

Now you can do:

x1 = Test()
x2 = Test()
x1.i = 50
assert x2.i == x1.i  # no error
assert x2.i == 50    # the property is synced

The static variable will now remain in sync between all class instances.

(NOTE: That is, unless a class instance decides to define its own version of _i! But if someone decides to do THAT, they deserve what they get, don’t they???)

Note that technically speaking, i is still not a ‘static variable’ at all; it is a property, which is a special type of descriptor. However, the property behavior is now equivalent to a (mutable) static variable synced across all class instances.

Immutable “Static Variables”

For immutable static variable behavior, simply omit the property setter:

class Test(object):

    _i = 3

    @property
    def i(self):
        return type(self)._i

## ALTERNATIVE IMPLEMENTATION - FUNCTIONALLY EQUIVALENT TO ABOVE ##
## (except with separate methods for getting i) ##

class Test(object):

    _i = 3

    def get_i(self):
        return type(self)._i

    i = property(get_i)

Now attempting to set the instance i attribute will return an AttributeError:

x = Test()
assert x.i == 3  # success
x.i = 12         # ERROR

One Gotcha to be Aware of

Note that the above methods only work with instances of your class – they will not work when using the class itself. So for example:

x = Test()
assert x.i == Test.i  # ERROR

# x.i and Test.i are two different objects:
type(Test.i)  # class 'property'
type(x.i)     # class 'int'

The line assert Test.i == x.i produces an error, because the i attribute of Test and x are two different objects.

Many people will find this surprising. However, it should not be. If we go back and inspect our Test class definition (the second version), we take note of this line:

    i = property(get_i) 

Clearly, the member i of Test must be a property object, which is the type of object returned from the property function.

If you find the above confusing, you are most likely still thinking about it from the perspective of other languages (e.g. Java or c++). You should go study the property object, about the order in which Python attributes are returned, the descriptor protocol, and the method resolution order (MRO).

I present a solution to the above ‘gotcha’ below; however I would suggest – strenuously – that you do not try to do something like the following until – at minimum – you thoroughly understand why assert Test.i = x.i causes an error.

REAL, ACTUAL Static Variables – Test.i == x.i

I present the (Python 3) solution below for informational purposes only. I am not endorsing it as a “good solution”. I have my doubts as to whether emulating the static variable behavior of other languages in Python is ever actually necessary. However, regardless as to whether it is actually useful, the below should help further understanding of how Python works.

UPDATE: this attempt is really pretty awful; if you insist on doing something like this (hint: please don’t; Python is a very elegant language and shoe-horning it into behaving like another language is just not necessary), use the code in Ethan Furman’s answer instead.

Emulating static variable behavior of other languages using a metaclass

A metaclass is the class of a class. The default metaclass for all classes in Python (i.e., the “new style” classes post Python 2.3 I believe) is type. For example:

type(int)  # class 'type'
type(str)  # class 'type'
class Test(): pass
type(Test) # class 'type'

However, you can define your own metaclass like this:

class MyMeta(type): pass

And apply it to your own class like this (Python 3 only):

class MyClass(metaclass = MyMeta):
    pass

type(MyClass)  # class MyMeta

Below is a metaclass I have created which attempts to emulate “static variable” behavior of other languages. It basically works by replacing the default getter, setter, and deleter with versions which check to see if the attribute being requested is a “static variable”.

A catalog of the “static variables” is stored in the StaticVarMeta.statics attribute. All attribute requests are initially attempted to be resolved using a substitute resolution order. I have dubbed this the “static resolution order”, or “SRO”. This is done by looking for the requested attribute in the set of “static variables” for a given class (or its parent classes). If the attribute does not appear in the “SRO”, the class will fall back on the default attribute get/set/delete behavior (i.e., “MRO”).

from functools import wraps

class StaticVarsMeta(type):
    '''A metaclass for creating classes that emulate the "static variable" behavior
    of other languages. I do not advise actually using this for anything!!!

    Behavior is intended to be similar to classes that use __slots__. However, "normal"
    attributes and __statics___ can coexist (unlike with __slots__). 

    Example usage: 

        class MyBaseClass(metaclass = StaticVarsMeta):
            __statics__ = {'a','b','c'}
            i = 0  # regular attribute
            a = 1  # static var defined (optional)

        class MyParentClass(MyBaseClass):
            __statics__ = {'d','e','f'}
            j = 2              # regular attribute
            d, e, f = 3, 4, 5  # Static vars
            a, b, c = 6, 7, 8  # Static vars (inherited from MyBaseClass, defined/re-defined here)

        class MyChildClass(MyParentClass):
            __statics__ = {'a','b','c'}
            j = 2  # regular attribute (redefines j from MyParentClass)
            d, e, f = 9, 10, 11   # Static vars (inherited from MyParentClass, redefined here)
            a, b, c = 12, 13, 14  # Static vars (overriding previous definition in MyParentClass here)'''
    statics = {}
    def __new__(mcls, name, bases, namespace):
        # Get the class object
        cls = super().__new__(mcls, name, bases, namespace)
        # Establish the "statics resolution order"
        cls.__sro__ = tuple(c for c in cls.__mro__ if isinstance(c,mcls))

        # Replace class getter, setter, and deleter for instance attributes
        cls.__getattribute__ = StaticVarsMeta.__inst_getattribute__(cls, cls.__getattribute__)
        cls.__setattr__ = StaticVarsMeta.__inst_setattr__(cls, cls.__setattr__)
        cls.__delattr__ = StaticVarsMeta.__inst_delattr__(cls, cls.__delattr__)
        # Store the list of static variables for the class object
        # This list is permanent and cannot be changed, similar to __slots__
        try:
            mcls.statics[cls] = getattr(cls,'__statics__')
        except AttributeError:
            mcls.statics[cls] = namespace['__statics__'] = set() # No static vars provided
        # Check and make sure the statics var names are strings
        if any(not isinstance(static,str) for static in mcls.statics[cls]):
            typ = dict(zip((not isinstance(static,str) for static in mcls.statics[cls]), map(type,mcls.statics[cls])))[True].__name__
            raise TypeError('__statics__ items must be strings, not {0}'.format(typ))
        # Move any previously existing, not overridden statics to the static var parent class(es)
        if len(cls.__sro__) > 1:
            for attr,value in namespace.items():
                if attr not in StaticVarsMeta.statics[cls] and attr != ['__statics__']:
                    for c in cls.__sro__[1:]:
                        if attr in StaticVarsMeta.statics[c]:
                            setattr(c,attr,value)
                            delattr(cls,attr)
        return cls
    def __inst_getattribute__(self, orig_getattribute):
        '''Replaces the class __getattribute__'''
        @wraps(orig_getattribute)
        def wrapper(self, attr):
            if StaticVarsMeta.is_static(type(self),attr):
                return StaticVarsMeta.__getstatic__(type(self),attr)
            else:
                return orig_getattribute(self, attr)
        return wrapper
    def __inst_setattr__(self, orig_setattribute):
        '''Replaces the class __setattr__'''
        @wraps(orig_setattribute)
        def wrapper(self, attr, value):
            if StaticVarsMeta.is_static(type(self),attr):
                StaticVarsMeta.__setstatic__(type(self),attr, value)
            else:
                orig_setattribute(self, attr, value)
        return wrapper
    def __inst_delattr__(self, orig_delattribute):
        '''Replaces the class __delattr__'''
        @wraps(orig_delattribute)
        def wrapper(self, attr):
            if StaticVarsMeta.is_static(type(self),attr):
                StaticVarsMeta.__delstatic__(type(self),attr)
            else:
                orig_delattribute(self, attr)
        return wrapper
    def __getstatic__(cls,attr):
        '''Static variable getter'''
        for c in cls.__sro__:
            if attr in StaticVarsMeta.statics[c]:
                try:
                    return getattr(c,attr)
                except AttributeError:
                    pass
        raise AttributeError(cls.__name__ + " object has no attribute '{0}'".format(attr))
    def __setstatic__(cls,attr,value):
        '''Static variable setter'''
        for c in cls.__sro__:
            if attr in StaticVarsMeta.statics[c]:
                setattr(c,attr,value)
                break
    def __delstatic__(cls,attr):
        '''Static variable deleter'''
        for c in cls.__sro__:
            if attr in StaticVarsMeta.statics[c]:
                try:
                    delattr(c,attr)
                    break
                except AttributeError:
                    pass
        raise AttributeError(cls.__name__ + " object has no attribute '{0}'".format(attr))
    def __delattr__(cls,attr):
        '''Prevent __sro__ attribute from deletion'''
        if attr == '__sro__':
            raise AttributeError('readonly attribute')
        super().__delattr__(attr)
    def is_static(cls,attr):
        '''Returns True if an attribute is a static variable of any class in the __sro__'''
        if any(attr in StaticVarsMeta.statics[c] for c in cls.__sro__):
            return True
        return False

回答 3

您还可以随时将类变量添加到类中

>>> class X:
...     pass
... 
>>> X.bar = 0
>>> x = X()
>>> x.bar
0
>>> x.foo
Traceback (most recent call last):
  File "<interactive input>", line 1, in <module>
AttributeError: X instance has no attribute 'foo'
>>> X.foo = 1
>>> x.foo
1

类实例可以更改类变量

class X:
  l = []
  def __init__(self):
    self.l.append(1)

print X().l
print X().l

>python test.py
[1]
[1, 1]

You can also add class variables to classes on the fly

>>> class X:
...     pass
... 
>>> X.bar = 0
>>> x = X()
>>> x.bar
0
>>> x.foo
Traceback (most recent call last):
  File "<interactive input>", line 1, in <module>
AttributeError: X instance has no attribute 'foo'
>>> X.foo = 1
>>> x.foo
1

And class instances can change class variables

class X:
  l = []
  def __init__(self):
    self.l.append(1)

print X().l
print X().l

>python test.py
[1]
[1, 1]

回答 4

就个人而言,每当我需要静态方法时,我都会使用类方法。主要是因为我将类作为参数。

class myObj(object):
   def myMethod(cls)
     ...
   myMethod = classmethod(myMethod) 

或使用装饰器

class myObj(object):
   @classmethod
   def myMethod(cls)

对于静态属性..它时候您查找一些python定义..变量可以随时更改。有两种类型,它们是可变的和不可变的。此外,还有类属性和实例属性。从Java和C ++的意义上说,没有什么比静态属性更像

如果与类没有任何关系,为什么要使用pythonic意义上的静态方法!如果您是我,则可以使用classmethod或独立于类定义方法。

Personally I would use a classmethod whenever I needed a static method. Mainly because I get the class as an argument.

class myObj(object):
   def myMethod(cls)
     ...
   myMethod = classmethod(myMethod) 

or use a decorator

class myObj(object):
   @classmethod
   def myMethod(cls)

For static properties.. Its time you look up some python definition.. variable can always change. There are two types of them mutable and immutable.. Also, there are class attributes and instance attributes.. Nothing really like static attributes in the sense of java & c++

Why use static method in pythonic sense, if it has no relation whatever to the class! If I were you, I’d either use classmethod or define the method independent from the class.


回答 5

关于静态属性和实例属性的一件事要特别注意,如下面的示例所示:

class my_cls:
  my_prop = 0

#static property
print my_cls.my_prop  #--> 0

#assign value to static property
my_cls.my_prop = 1 
print my_cls.my_prop  #--> 1

#access static property thru' instance
my_inst = my_cls()
print my_inst.my_prop #--> 1

#instance property is different from static property 
#after being assigned a value
my_inst.my_prop = 2
print my_cls.my_prop  #--> 1
print my_inst.my_prop #--> 2

这意味着在将值分配给实例属性之前,如果我们尝试通过实例访问属性,则将使用静态值。python类中声明的每个属性在内存中始终具有一个静态插槽

One special thing to note about static properties & instance properties, shown in the example below:

class my_cls:
  my_prop = 0

#static property
print my_cls.my_prop  #--> 0

#assign value to static property
my_cls.my_prop = 1 
print my_cls.my_prop  #--> 1

#access static property thru' instance
my_inst = my_cls()
print my_inst.my_prop #--> 1

#instance property is different from static property 
#after being assigned a value
my_inst.my_prop = 2
print my_cls.my_prop  #--> 1
print my_inst.my_prop #--> 2

This means before assigning the value to instance property, if we try to access the property thru’ instance, the static value is used. Each property declared in python class always has a static slot in memory.


回答 6

python中的静态方法称为classmethod。看下面的代码

class MyClass:

    def myInstanceMethod(self):
        print 'output from an instance method'

    @classmethod
    def myStaticMethod(cls):
        print 'output from a static method'

>>> MyClass.myInstanceMethod()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: unbound method myInstanceMethod() must be called [...]

>>> MyClass.myStaticMethod()
output from a static method

注意,当我们调用方法myInstanceMethod时,我们得到一个错误。这是因为它要求在此类的实例上调用该方法。使用装饰器@classmethod将方法myStaticMethod设置为类方法。

只是为了一笑而过,我们可以通过传入类的实例来在类上调用myInstanceMethod,如下所示:

>>> MyClass.myInstanceMethod(MyClass())
output from an instance method

Static methods in python are called classmethods. Take a look at the following code

class MyClass:

    def myInstanceMethod(self):
        print 'output from an instance method'

    @classmethod
    def myStaticMethod(cls):
        print 'output from a static method'

>>> MyClass.myInstanceMethod()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: unbound method myInstanceMethod() must be called [...]

>>> MyClass.myStaticMethod()
output from a static method

Notice that when we call the method myInstanceMethod, we get an error. This is because it requires that method be called on an instance of this class. The method myStaticMethod is set as a classmethod using the decorator @classmethod.

Just for kicks and giggles, we could call myInstanceMethod on the class by passing in an instance of the class, like so:

>>> MyClass.myInstanceMethod(MyClass())
output from an instance method

回答 7

当在任何成员方法之外定义某个成员变量时,该变量可以是静态的也可以是非静态的,具体取决于变量的表示方式。

  • CLASSNAME.var是静态变量
  • INSTANCENAME.var不是静态变量。
  • 类中的self.var不是静态变量。
  • 类成员函数内部的var未定义。

例如:

#!/usr/bin/python

class A:
    var=1

    def printvar(self):
        print "self.var is %d" % self.var
        print "A.var is %d" % A.var


    a = A()
    a.var = 2
    a.printvar()

    A.var = 3
    a.printvar()

结果是

self.var is 2
A.var is 1
self.var is 2
A.var is 3

When define some member variable outside any member method, the variable can be either static or non-static depending on how the variable is expressed.

  • CLASSNAME.var is static variable
  • INSTANCENAME.var is not static variable.
  • self.var inside class is not static variable.
  • var inside the class member function is not defined.

For example:

#!/usr/bin/python

class A:
    var=1

    def printvar(self):
        print "self.var is %d" % self.var
        print "A.var is %d" % A.var


    a = A()
    a.var = 2
    a.printvar()

    A.var = 3
    a.printvar()

The results are

self.var is 2
A.var is 1
self.var is 2
A.var is 3

回答 8

可能有static类变量,但可能不值得。

这是用Python 3编写的概念验证-如果任何确切的细节有误,则可以对代码进行调整以使其与您所表达的含义完全匹配static variable


class Static:
    def __init__(self, value, doc=None):
        self.deleted = False
        self.value = value
        self.__doc__ = doc
    def __get__(self, inst, cls=None):
        if self.deleted:
            raise AttributeError('Attribute not set')
        return self.value
    def __set__(self, inst, value):
        self.deleted = False
        self.value = value
    def __delete__(self, inst):
        self.deleted = True

class StaticType(type):
    def __delattr__(cls, name):
        obj = cls.__dict__.get(name)
        if isinstance(obj, Static):
            obj.__delete__(name)
        else:
            super(StaticType, cls).__delattr__(name)
    def __getattribute__(cls, *args):
        obj = super(StaticType, cls).__getattribute__(*args)
        if isinstance(obj, Static):
            obj = obj.__get__(cls, cls.__class__)
        return obj
    def __setattr__(cls, name, val):
        # check if object already exists
        obj = cls.__dict__.get(name)
        if isinstance(obj, Static):
            obj.__set__(name, val)
        else:
            super(StaticType, cls).__setattr__(name, val)

并在使用中:

class MyStatic(metaclass=StaticType):
    """
    Testing static vars
    """
    a = Static(9)
    b = Static(12)
    c = 3

class YourStatic(MyStatic):
    d = Static('woo hoo')
    e = Static('doo wop')

和一些测试:

ms1 = MyStatic()
ms2 = MyStatic()
ms3 = MyStatic()
assert ms1.a == ms2.a == ms3.a == MyStatic.a
assert ms1.b == ms2.b == ms3.b == MyStatic.b
assert ms1.c == ms2.c == ms3.c == MyStatic.c
ms1.a = 77
assert ms1.a == ms2.a == ms3.a == MyStatic.a
ms2.b = 99
assert ms1.b == ms2.b == ms3.b == MyStatic.b
MyStatic.a = 101
assert ms1.a == ms2.a == ms3.a == MyStatic.a
MyStatic.b = 139
assert ms1.b == ms2.b == ms3.b == MyStatic.b
del MyStatic.b
for inst in (ms1, ms2, ms3):
    try:
        getattr(inst, 'b')
    except AttributeError:
        pass
    else:
        print('AttributeError not raised on %r' % attr)
ms1.c = 13
ms2.c = 17
ms3.c = 19
assert ms1.c == 13
assert ms2.c == 17
assert ms3.c == 19
MyStatic.c = 43
assert ms1.c == 13
assert ms2.c == 17
assert ms3.c == 19

ys1 = YourStatic()
ys2 = YourStatic()
ys3 = YourStatic()
MyStatic.b = 'burgler'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a
assert ys1.b == ys2.b == ys3.b == YourStatic.b == MyStatic.b
assert ys1.d == ys2.d == ys3.d == YourStatic.d
assert ys1.e == ys2.e == ys3.e == YourStatic.e
ys1.a = 'blah'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a
ys2.b = 'kelp'
assert ys1.b == ys2.b == ys3.b == YourStatic.b == MyStatic.b
ys1.d = 'fee'
assert ys1.d == ys2.d == ys3.d == YourStatic.d
ys2.e = 'fie'
assert ys1.e == ys2.e == ys3.e == YourStatic.e
MyStatic.a = 'aargh'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a

It is possible to have static class variables, but probably not worth the effort.

Here’s a proof-of-concept written in Python 3 — if any of the exact details are wrong the code can be tweaked to match just about whatever you mean by a static variable:


class Static:
    def __init__(self, value, doc=None):
        self.deleted = False
        self.value = value
        self.__doc__ = doc
    def __get__(self, inst, cls=None):
        if self.deleted:
            raise AttributeError('Attribute not set')
        return self.value
    def __set__(self, inst, value):
        self.deleted = False
        self.value = value
    def __delete__(self, inst):
        self.deleted = True

class StaticType(type):
    def __delattr__(cls, name):
        obj = cls.__dict__.get(name)
        if isinstance(obj, Static):
            obj.__delete__(name)
        else:
            super(StaticType, cls).__delattr__(name)
    def __getattribute__(cls, *args):
        obj = super(StaticType, cls).__getattribute__(*args)
        if isinstance(obj, Static):
            obj = obj.__get__(cls, cls.__class__)
        return obj
    def __setattr__(cls, name, val):
        # check if object already exists
        obj = cls.__dict__.get(name)
        if isinstance(obj, Static):
            obj.__set__(name, val)
        else:
            super(StaticType, cls).__setattr__(name, val)

and in use:

class MyStatic(metaclass=StaticType):
    """
    Testing static vars
    """
    a = Static(9)
    b = Static(12)
    c = 3

class YourStatic(MyStatic):
    d = Static('woo hoo')
    e = Static('doo wop')

and some tests:

ms1 = MyStatic()
ms2 = MyStatic()
ms3 = MyStatic()
assert ms1.a == ms2.a == ms3.a == MyStatic.a
assert ms1.b == ms2.b == ms3.b == MyStatic.b
assert ms1.c == ms2.c == ms3.c == MyStatic.c
ms1.a = 77
assert ms1.a == ms2.a == ms3.a == MyStatic.a
ms2.b = 99
assert ms1.b == ms2.b == ms3.b == MyStatic.b
MyStatic.a = 101
assert ms1.a == ms2.a == ms3.a == MyStatic.a
MyStatic.b = 139
assert ms1.b == ms2.b == ms3.b == MyStatic.b
del MyStatic.b
for inst in (ms1, ms2, ms3):
    try:
        getattr(inst, 'b')
    except AttributeError:
        pass
    else:
        print('AttributeError not raised on %r' % attr)
ms1.c = 13
ms2.c = 17
ms3.c = 19
assert ms1.c == 13
assert ms2.c == 17
assert ms3.c == 19
MyStatic.c = 43
assert ms1.c == 13
assert ms2.c == 17
assert ms3.c == 19

ys1 = YourStatic()
ys2 = YourStatic()
ys3 = YourStatic()
MyStatic.b = 'burgler'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a
assert ys1.b == ys2.b == ys3.b == YourStatic.b == MyStatic.b
assert ys1.d == ys2.d == ys3.d == YourStatic.d
assert ys1.e == ys2.e == ys3.e == YourStatic.e
ys1.a = 'blah'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a
ys2.b = 'kelp'
assert ys1.b == ys2.b == ys3.b == YourStatic.b == MyStatic.b
ys1.d = 'fee'
assert ys1.d == ys2.d == ys3.d == YourStatic.d
ys2.e = 'fie'
assert ys1.e == ys2.e == ys3.e == YourStatic.e
MyStatic.a = 'aargh'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a

回答 9

您还可以使用元类将类强制为静态。

class StaticClassError(Exception):
    pass


class StaticClass:
    __metaclass__ = abc.ABCMeta

    def __new__(cls, *args, **kw):
        raise StaticClassError("%s is a static class and cannot be initiated."
                                % cls)

class MyClass(StaticClass):
    a = 1
    b = 3

    @staticmethod
    def add(x, y):
        return x+y

然后,每当您偶然尝试初始化MyClass时,都会收到一个StaticClassError。

You could also enforce a class to be static using metaclass.

class StaticClassError(Exception):
    pass


class StaticClass:
    __metaclass__ = abc.ABCMeta

    def __new__(cls, *args, **kw):
        raise StaticClassError("%s is a static class and cannot be initiated."
                                % cls)

class MyClass(StaticClass):
    a = 1
    b = 3

    @staticmethod
    def add(x, y):
        return x+y

Then whenever by accident you try to initialize MyClass you’ll get an StaticClassError.


回答 10

关于Python属性查找的一个非常有趣的观点是,它可以用于创建“ 虚拟变量”:

class A(object):

  label="Amazing"

  def __init__(self,d): 
      self.data=d

  def say(self): 
      print("%s %s!"%(self.label,self.data))

class B(A):
  label="Bold"  # overrides A.label

A(5).say()      # Amazing 5!
B(3).say()      # Bold 3!

通常,在创建它们之后,没有任何分配。请注意,使用查找是self因为,尽管label在不与特定实例关联的意义上说它是静态的,但该值仍取决于实例的(类)。

One very interesting point about Python’s attribute lookup is that it can be used to create “virtual variables”:

class A(object):

  label="Amazing"

  def __init__(self,d): 
      self.data=d

  def say(self): 
      print("%s %s!"%(self.label,self.data))

class B(A):
  label="Bold"  # overrides A.label

A(5).say()      # Amazing 5!
B(3).say()      # Bold 3!

Normally there aren’t any assignments to these after they are created. Note that the lookup uses self because, although label is static in the sense of not being associated with a particular instance, the value still depends on the (class of the) instance.


回答 11

关于此答案,对于常量静态变量,可以使用描述符。这是一个例子:

class ConstantAttribute(object):
    '''You can initialize my value but not change it.'''
    def __init__(self, value):
        self.value = value

    def __get__(self, obj, type=None):
        return self.value

    def __set__(self, obj, val):
        pass


class Demo(object):
    x = ConstantAttribute(10)


class SubDemo(Demo):
    x = 10


demo = Demo()
subdemo = SubDemo()
# should not change
demo.x = 100
# should change
subdemo.x = 100
print "small demo", demo.x
print "small subdemo", subdemo.x
print "big demo", Demo.x
print "big subdemo", SubDemo.x

导致 …

small demo 10
small subdemo 100
big demo 10
big subdemo 10

如果您pass不想静默地忽略设置值(以上),则总是可以引发异常。如果要查找C ++ Java样式静态类变量:

class StaticAttribute(object):
    def __init__(self, value):
        self.value = value

    def __get__(self, obj, type=None):
        return self.value

    def __set__(self, obj, val):
        self.value = val

请查看此答案和官方文档HOWTO,以获取有关描述符的更多信息。

In regards to this answer, for a constant static variable, you can use a descriptor. Here’s an example:

class ConstantAttribute(object):
    '''You can initialize my value but not change it.'''
    def __init__(self, value):
        self.value = value

    def __get__(self, obj, type=None):
        return self.value

    def __set__(self, obj, val):
        pass


class Demo(object):
    x = ConstantAttribute(10)


class SubDemo(Demo):
    x = 10


demo = Demo()
subdemo = SubDemo()
# should not change
demo.x = 100
# should change
subdemo.x = 100
print "small demo", demo.x
print "small subdemo", subdemo.x
print "big demo", Demo.x
print "big subdemo", SubDemo.x

resulting in …

small demo 10
small subdemo 100
big demo 10
big subdemo 10

You can always raise an exception if quietly ignoring setting value (pass above) is not your thing. If you’re looking for a C++, Java style static class variable:

class StaticAttribute(object):
    def __init__(self, value):
        self.value = value

    def __get__(self, obj, type=None):
        return self.value

    def __set__(self, obj, val):
        self.value = val

Have a look at this answer and the official docs HOWTO for more information about descriptors.


回答 12

绝对可以,Python本身没有明确的静态数据成员,但是我们可以这样做

class A:
    counter =0
    def callme (self):
        A.counter +=1
    def getcount (self):
        return self.counter  
>>> x=A()
>>> y=A()
>>> print(x.getcount())
>>> print(y.getcount())
>>> x.callme() 
>>> print(x.getcount())
>>> print(y.getcount())

输出

0
0
1
1

说明

here object (x) alone increment the counter variable
from 0 to 1 by not object y. But result it as "static counter"

Absolutely Yes, Python by itself don’t have any static data member explicitly, but We can have by doing so

class A:
    counter =0
    def callme (self):
        A.counter +=1
    def getcount (self):
        return self.counter  
>>> x=A()
>>> y=A()
>>> print(x.getcount())
>>> print(y.getcount())
>>> x.callme() 
>>> print(x.getcount())
>>> print(y.getcount())

output

0
0
1
1

explanation

here object (x) alone increment the counter variable
from 0 to 1 by not object y. But result it as "static counter"

回答 13

是的,绝对可以在python中编写静态变量和方法。

静态变量: 在类级别声明的变量称为静态变量,可以使用类名称直接访问。

    >>> class A:
        ...my_var = "shagun"

    >>> print(A.my_var)
        shagun

实例变量:与某个类的实例相关并访问的变量是实例变量。

   >>> a = A()
   >>> a.my_var = "pruthi"
   >>> print(A.my_var,a.my_var)
       shagun pruthi

静态方法:与变量类似,可以使用Name类直接访问静态方法。无需创建实例。

但请记住,静态方法无法在python中调用非静态方法。

    >>> class A:
   ...     @staticmethod
   ...     def my_static_method():
   ...             print("Yippey!!")
   ... 
   >>> A.my_static_method()
   Yippey!!

Yes, definitely possible to write static variables and methods in python.

Static Variables : Variable declared at class level are called static variable which can be accessed directly using class name.

    >>> class A:
        ...my_var = "shagun"

    >>> print(A.my_var)
        shagun

Instance variables: Variables that are related and accessed by instance of a class are instance variables.

   >>> a = A()
   >>> a.my_var = "pruthi"
   >>> print(A.my_var,a.my_var)
       shagun pruthi

Static Methods: Similar to variables, static methods can be accessed directly using class Name. No need to create an instance.

But keep in mind, a static method cannot call a non-static method in python.

    >>> class A:
   ...     @staticmethod
   ...     def my_static_method():
   ...             print("Yippey!!")
   ... 
   >>> A.my_static_method()
   Yippey!!

回答 14

为了避免任何潜在的混乱,我想对比静态变量和不可变对象。

一些原始对象类型(例如整数,浮点数,字符串和touples)在Python中是不可变的。这意味着给定名称引用的对象如果属于上述对象类型之一,则无法更改。可以将名称重新分配给其他对象,但是对象本身不能更改。

使变量为静态使此步骤更进一步,它不允许变量名指向除当前指向的对象之外的任何对象。(注意:这是一个通用的软件概念,并不特定于Python;有关在Python中实现静态功能的信息,请参见其他人的帖子)。

To avoid any potential confusion, I would like to contrast static variables and immutable objects.

Some primitive object types like integers, floats, strings, and touples are immutable in Python. This means that the object that is referred to by a given name cannot change if it is of one of the aforementioned object types. The name can be reassigned to a different object, but the object itself may not be changed.

Making a variable static takes this a step further by disallowing the variable name to point to any object but that to which it currently points. (Note: this is a general software concept and not specific to Python; please see others’ posts for information about implementing statics in Python).


回答 15

我发现最好的方法是使用另一个类。您可以创建一个对象,然后在其他对象上使用它。

class staticFlag:
    def __init__(self):
        self.__success = False
    def isSuccess(self):
        return self.__success
    def succeed(self):
        self.__success = True

class tryIt:
    def __init__(self, staticFlag):
        self.isSuccess = staticFlag.isSuccess
        self.succeed = staticFlag.succeed

tryArr = []
flag = staticFlag()
for i in range(10):
    tryArr.append(tryIt(flag))
    if i == 5:
        tryArr[i].succeed()
    print tryArr[i].isSuccess()

在上面的示例中,我创建了一个名为的类staticFlag

此类应显示静态var __success(私有静态Var)。

tryIt 类代表我们需要使用的常规类。

现在,我为一个标志(staticFlag)创建了一个对象。该标志将作为对所有常规对象的引用发送。

所有这些对象都将添加到列表中tryArr


该脚本结果:

False
False
False
False
False
True
True
True
True
True

The best way I found is to use another class. You can create an object and then use it on other objects.

class staticFlag:
    def __init__(self):
        self.__success = False
    def isSuccess(self):
        return self.__success
    def succeed(self):
        self.__success = True

class tryIt:
    def __init__(self, staticFlag):
        self.isSuccess = staticFlag.isSuccess
        self.succeed = staticFlag.succeed

tryArr = []
flag = staticFlag()
for i in range(10):
    tryArr.append(tryIt(flag))
    if i == 5:
        tryArr[i].succeed()
    print tryArr[i].isSuccess()

With the example above, I made a class named staticFlag.

This class should present the static var __success (Private Static Var).

tryIt class represented the regular class we need to use.

Now I made an object for one flag (staticFlag). This flag will be sent as reference to all the regular objects.

All these objects are being added to the list tryArr.


This Script Results:

False
False
False
False
False
True
True
True
True
True

回答 16

类工厂python3.6中的静态变量

对于使用带有python3.6及更高版本的类工厂的任何人,请使用nonlocal关键字将其添加到正在创建的类的作用域/上下文中,如下所示:

>>> def SomeFactory(some_var=None):
...     class SomeClass(object):
...         nonlocal some_var
...         def print():
...             print(some_var)
...     return SomeClass
... 
>>> SomeFactory(some_var="hello world").print()
hello world

Static Variables in Class factory python3.6

For anyone using a class factory with python3.6 and up use the nonlocal keyword to add it to the scope / context of the class being created like so:

>>> def SomeFactory(some_var=None):
...     class SomeClass(object):
...         nonlocal some_var
...         def print():
...             print(some_var)
...     return SomeClass
... 
>>> SomeFactory(some_var="hello world").print()
hello world

回答 17

所以这可能是一个hack,但是我一直在使用 eval(str) python 3获取静态对象,这有点矛盾。

有一个Records.py文件,除了class用静态方法定义的对象和保存一些参数的构造函数外,什么都没有。然后从另一个.py文件中,import Records但我需要动态选择每个对象,然后根据要读取的数据类型按需实例化它。

因此object_name = 'RecordOne',我在哪里调用了类名,cur_type = eval(object_name)然后对其进行了实例化。cur_inst = cur_type(args) 但是,在实例化之前,您可以从cur_type.getName()例如静态类中调用静态方法,例如抽象基类的实现或目标是什么。但是在后端,它可能是在python中实例化的,并且不是真正的静态对象,因为eval返回的是一个对象……必须已被实例化……会产生类似静态的行为。

So this is probably a hack, but I’ve been using eval(str) to obtain an static object, kind of a contradiction, in python 3.

There is an Records.py file that has nothing but class objects defined with static methods and constructors that save some arguments. Then from another .py file I import Records but i need to dynamically select each object and then instantiate it on demand according to the type of data being read in.

So where object_name = 'RecordOne' or the class name, I call cur_type = eval(object_name) and then to instantiate it you do cur_inst = cur_type(args) However before you instantiate you can call static methods from cur_type.getName() for example, kind of like abstract base class implementation or whatever the goal is. However in the backend, it’s probably instantiated in python and is not truly static, because eval is returning an object….which must have been instantiated….that gives static like behavior.


回答 18

您可以使用列表或字典来获得实例之间的“静态行为”。

class Fud:

     class_vars = {'origin_open':False}

     def __init__(self, origin = True):
         self.origin = origin
         self.opened = True
         if origin:
             self.class_vars['origin_open'] = True


     def make_another_fud(self):
         ''' Generating another Fud() from the origin instance '''

         return Fud(False)


     def close(self):
         self.opened = False
         if self.origin:
             self.class_vars['origin_open'] = False


fud1 = Fud()
fud2 = fud1.make_another_fud()

print (f"is this the original fud: {fud2.origin}")
print (f"is the original fud open: {fud2.class_vars['origin_open']}")
# is this the original fud: False
# is the original fud open: True

fud1.close()

print (f"is the original fud open: {fud2.class_vars['origin_open']}")
# is the original fud open: False

You can use a list or a dictionary to get “static behavior” between instances.

class Fud:

     class_vars = {'origin_open':False}

     def __init__(self, origin = True):
         self.origin = origin
         self.opened = True
         if origin:
             self.class_vars['origin_open'] = True


     def make_another_fud(self):
         ''' Generating another Fud() from the origin instance '''

         return Fud(False)


     def close(self):
         self.opened = False
         if self.origin:
             self.class_vars['origin_open'] = False


fud1 = Fud()
fud2 = fud1.make_another_fud()

print (f"is this the original fud: {fud2.origin}")
print (f"is the original fud open: {fud2.class_vars['origin_open']}")
# is this the original fud: False
# is the original fud open: True

fud1.close()

print (f"is the original fud open: {fud2.class_vars['origin_open']}")
# is the original fud open: False

回答 19

例如,如果您尝试共享静态变量,以便在其他实例之间增加静态变量,则类似此脚本的代码可以正常工作:

# -*- coding: utf-8 -*-
class Worker:
    id = 1

    def __init__(self):
        self.name = ''
        self.document = ''
        self.id = Worker.id
        Worker.id += 1

    def __str__(self):
        return u"{}.- {} {}".format(self.id, self.name, self.document).encode('utf8')


class Workers:
    def __init__(self):
        self.list = []

    def add(self, name, doc):
        worker = Worker()
        worker.name = name
        worker.document = doc
        self.list.append(worker)


if __name__ == "__main__":
    workers = Workers()
    for item in (('Fiona', '0009898'), ('Maria', '66328191'), ("Sandra", '2342184'), ('Elvira', '425872')):
        workers.add(item[0], item[1])
    for worker in workers.list:
        print(worker)
    print("next id: %i" % Worker.id)

If you are attempting to share a static variable for, by example, increasing it across other instances, something like this script works fine:

# -*- coding: utf-8 -*-
class Worker:
    id = 1

    def __init__(self):
        self.name = ''
        self.document = ''
        self.id = Worker.id
        Worker.id += 1

    def __str__(self):
        return u"{}.- {} {}".format(self.id, self.name, self.document).encode('utf8')


class Workers:
    def __init__(self):
        self.list = []

    def add(self, name, doc):
        worker = Worker()
        worker.name = name
        worker.document = doc
        self.list.append(worker)


if __name__ == "__main__":
    workers = Workers()
    for item in (('Fiona', '0009898'), ('Maria', '66328191'), ("Sandra", '2342184'), ('Elvira', '425872')):
        workers.add(item[0], item[1])
    for worker in workers.list:
        print(worker)
    print("next id: %i" % Worker.id)