如何为延迟初始化属性创建装饰器 [英] How to create decorator for lazy initialization of a property

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本文介绍了如何为延迟初始化属性创建装饰器的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我想创建一个装饰器,其工作方式类似于属性,只是它仅调用装饰后的函数一次,并且在后续调用中始终返回第一个调用的结果。例如:

I want to create a decorator that works like a property, only it calls the decorated function only once, and on subsequent calls always return the result of the first call. An example:

def SomeClass(object):
    @LazilyInitializedProperty
    def foo(self):
        print "Now initializing"
        return 5

>>> x = SomeClass()
>>> x.foo
Now initializing
5
>>> x.foo
5

我的想法是为此编写一个自定义装饰器。所以我开始了,这就是我走了多远:

My idea was to write a custom decorator for this. So i started, and this is how far I came:

class LazilyInitializedProperty(object):
    def __init__(self, function):
        self._function = function

    def __set__(self, obj, value):
        raise AttributeError("This property is read-only")

    def __get__(self, obj, type):
        # problem: where to store the value once we have calculated it?

我不知道将缓存的值存储在哪里。最简单的解决方案似乎只是维护字典,但我想知道是否对此有更优雅的解决方案。

As you can see, I do not know where to store the cached value. The simplest solution seems to be to just maintain a dictionary, but I am wondering if there is a more elegant solution for this.

编辑对不起为此,我忘了提到我希望该属性为只读。

EDIT Sorry for that, I forgot to mention that I want the property to be read-only.

推荐答案

Denis Otkidach的CachedAttribute 是一种方法修饰器,它使属性变得懒惰(计算一次,可访问)许多)。为了使其也成为只读,我添加了 __ set __ 方法。为了保留重新计算的能力(请参阅下文),我添加了 __ delete __ 方法:

Denis Otkidach's CachedAttribute is a method decorator which makes attributes lazy (computed once, accessible many). To make it also read-only, I added a __set__ method. To retain the ability to recalculate (see below) I added a __delete__ method:

class ReadOnlyCachedAttribute(object):    
    '''Computes attribute value and caches it in the instance.
    Source: Python Cookbook 
    Author: Denis Otkidach https://stackoverflow.com/users/168352/denis-otkidach
    This decorator allows you to create a property which can be computed once and
    accessed many times. Sort of like memoization
    '''
    def __init__(self, method, name=None):
        self.method = method
        self.name = name or method.__name__
        self.__doc__ = method.__doc__
    def __get__(self, inst, cls): 
        if inst is None:
            return self
        elif self.name in inst.__dict__:
            return inst.__dict__[self.name]
        else:
            result = self.method(inst)
            inst.__dict__[self.name]=result
            return result    
    def __set__(self, inst, value):
        raise AttributeError("This property is read-only")
    def __delete__(self,inst):
        del inst.__dict__[self.name]

例如:

if __name__=='__main__':
    class Foo(object):
        @ReadOnlyCachedAttribute
        # @read_only_lazyprop
        def bar(self):
            print 'Calculating self.bar'  
            return 42
    foo=Foo()
    print(foo.bar)
    # Calculating self.bar
    # 42
    print(foo.bar)    
    # 42
    try:
        foo.bar=1
    except AttributeError as err:
        print(err)
        # This property is read-only
    del(foo.bar)
    print(foo.bar)
    # Calculating self.bar
    # 42

关于 CachedAttribute (和
ReadOnlyCachedAttribute)的一件美丽的事是,如果您 del foo.bar ,然后下次您
访问 foo.bar 时,将重新计算该值。 (
使得 del foo.bar 删除了'bar' foo .__ dict __ ,但属性
bar 仍保留在 Foo .__ dict __ 。)

One of the beautiful things about CachedAttribute (and ReadOnlyCachedAttribute) is that if you del foo.bar, then the next time you access foo.bar, the value is re-calculated. (This magic is made possible by the fact that del foo.bar removes 'bar' from foo.__dict__ but the property bar remains in Foo.__dict__.)

如果您不需要或不想重新计算此功能,则
然后是以下内容(基于 Mike Boers的lazyprop )是一种创建只读惰性属性的简单方法。 / p>

If you don't need or don't want this ability to recalculate, then the following (based on Mike Boers' lazyprop) is a simpler way to make a read-only lazy property.

def read_only_lazyprop(fn):
    attr_name = '_lazy_' + fn.__name__
    @property
    def _lazyprop(self):
        if not hasattr(self, attr_name):
            setattr(self, attr_name, fn(self))
        return getattr(self, attr_name)
    @_lazyprop.setter
    def _lazyprop(self,value):
        raise AttributeError("This property is read-only")
    return _lazyprop

这篇关于如何为延迟初始化属性创建装饰器的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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