3

我想实现一个对象，在对其应用算术运算后将值限制在给定范围内。下面的代码工作正常，但我毫无意义地重写了这些方法。当然有一种更优雅的方式来做到这一点。元类是要走的路吗？

def check_range(_operator):
    def decorator1(instance,_val):
        value =  _operator(instance,_val)
        if value > instance._upperbound:
            value = instance._upperbound
        if value < instance._lowerbound:
            value = instance._lowerbound
        instance.value = value
        return Range(value, instance._lowerbound, instance._upperbound)
    return decorator1

class Range(object):
    '''
    however you add, multiply or divide, it will always stay within boundaries
    '''
    def __init__(self, value, lowerbound, upperbound):
        '''

        @param lowerbound:
        @param upperbound:
        '''
        self._lowerbound = lowerbound
        self._upperbound = upperbound
        self.value = value

    def init(self):
        '''
        set a random value within bounds
        '''
        self.value = random.uniform(self._lowerbound, self._upperbound)

    def __str__(self):
        return self.__repr__()

    def __repr__(self):
        return "<Range: %s>" % (self.value)

    @check_range
    def __mul__(self, other):
        return self.value * other

    @check_range
    def __div__(self, other):
        return self.value / float(other)

    def __truediv__(self, other):
        return self.div(other)     

    @check_range
    def __add__(self, other):
        return self.value + other

    @check_range
    def __sub__(self, other):
        return self.value - other
4

2 回答 2

2

可以使用元类将装饰器应用于一组函数名称，但我认为这不是您的情况。正如您所做的那样，在逐个函数的基础上在类主体中应用装饰器@decorator，我认为使用语法是一个非常好的选择。（我认为你的装饰器中有一个错误，顺便说一句：你可能不想设置instance.value任何东西；算术运算符通常不会改变它们的操作数）。

我可能会在您的情况下使用的另一种方法是避免一起使用装饰器，是执行以下操作：

import operator

class Range(object):

    def __init__(self, value, lowerbound, upperbound):
        self._lowerbound = lowerbound
        self._upperbound = upperbound
        self.value = value

    def __repr__(self):
        return "<Range: %s>" % (self.value)

    def _from_value(self, val):
        val = max(min(val, self._upperbound), self._lowerbound)
        # NOTE: it's nice to use type(self) instead of writing the class
        # name explicitly; it then continues to work if you change the
        # class name, or use a subclass
        return type(self)(val, rng._lowerbound, rng._upperbound)

    def _make_binary_method(fn):
        # this is NOT a method, just a helper function that is used
        # while the class body is being evaluated
        def bin_op(self, other):
            return self._from_value(fn(self.value, other))
        return bin_op

    __mul__ = _make_binary_method(operator.mul)
    __div__ = _make_binary_method(operator.truediv)
    __truediv__ = __div__
    __add__ = _make_binary_method(operator.add)
    __sub__ = _make_binary_method(operator.sub)

rng = Range(7, 0, 10)
print rng + 5
print rng * 50
print rng - 10
print rng / 100

印刷

<Range: 10>
<Range: 10>
<Range: 0>
<Range: 0.07>

我建议您在这种情况下不要使用元类，但这是您可以使用的一种方法。元类是一个有用的工具，如果您有兴趣，很高兴了解如何在您真正需要它们时使用它们。

def check_range(fn):
    def wrapper(self, other):
        value = fn(self, other)
        value = max(min(value, self._upperbound), self._lowerbound)
        return type(self)(value, self._lowerbound, self._upperbound)
    return wrapper

class ApplyDecoratorsType(type):
    def __init__(cls, name, bases, attrs):
        for decorator, names in attrs.get('_auto_decorate', ()):
            for name in names:
                fn = attrs.get(name, None)
                if fn is not None:
                    setattr(cls, name, decorator(fn))

class Range(object):
    __metaclass__ = ApplyDecoratorsType
    _auto_decorate = (
            (check_range, 
             '__mul__ __div__ __truediv__ __add__ __sub__'.split()),
        )

    def __init__(self, value, lowerbound, upperbound):
        self._lowerbound = lowerbound
        self._upperbound = upperbound
        self.value = value

    def __repr__(self):
        return "<Range: %s>" % (self.value)

    def __mul__(self, other):
        return self.value * other

    def __div__(self, other):
        return self.value / float(other)

    def __truediv__(self, other):
        return self / other

    def __add__(self, other):
        return self.value + other

    def __sub__(self, other):
        return self.value - other
于 2010-07-07T02:10:49.550 回答
1

正如关于元类的明智说法：如果您想知道是否需要它们，那么您不需要.

我不完全理解你的问题，但我会创建一个BoundedValue类，并且我们只将所述类的实例放入你提议的类中。

 class BoundedValue(object):
    default_lower = 0
    default_upper = 1
    def __init__(self, upper=None, lower=None):
        self.upper = upper or BoundedValue.default_upper
        self.lower = lower or BoundedValue.default_lower
    @property
    def val(self):
        return self._val
    @val.setter
    def val(self, value):
        assert self.lower <= value <= self.upper
        self._val = value


v = BoundedValue()
v.val = 0.5 # Correctly assigns the value 0.5
print v.val # prints 0.5
v.val = 10  # Throws assertion error

当然，您可以（并且应该）根据assert您正在寻找的实际行为更改离子；您也可以更改构造函数以包含初始化值。我选择通过 property 将其作为施工后的作业val。

一旦你有了这个对象，你就可以创建你的类并使用 BoundedValue 实例，而不是floats 或ints。

于 2010-07-07T00:40:00.437 回答