In [1]:
a = 1
b = 2
print("a + b = {}".format(a+b))
# 相当于
print("a.__add__(b) = {}".format(a.__add__(b)))
Python 中的描述符（Descriptor）就是将对象属性的获取、赋值以及删除等行为转换为方法调用的协议：
descr.__get__(self, obj, type=None) --> value
descr.__set__(self, obj, value) --> None
descr.__delete__(self, obj) --> None
例如我们要获取一个对象的属性，可以通过o.x的方式取得：
In [2]:
class Int:
ctype = "Class::Int"
def __init__(self, val):
self._val = val
a = Int(1)
print(a.ctype)
而通过.的方式寻找属性的值实际上调用了object.__getattribute__(self, name)方法：
In [3]:
class Int:
ctype = "Class::Int"
def __init__(self, val):
self._val = val
def __getattribute__(self, name):
print("👿 doesn't want to give `{}' to you!".format(name))
return "🐍"
a = Int(2)
print(a.ctype)
而这里的__getattribute__(self, name)方法实际上就是将.的属性获取方法转化为描述符协议定义的descr.__get__(self, key)：
In [4]:
class Str:
def __init__(self, val):
self._val = val
def __get__(self, name, ctype=None):
print("You can __get__ anything from here!")
return self._val
class Int:
ctype = Str("Class::Int")
def __init__(self, val):
self._val = val
def __getattribute__(self, name):
return type(self).__dict__[name].__get__(None, type(self))
a = Int(2)
print(a.ctype)
这里的 a.ctype = (Int.__dict__['ctype']).__get__(None, Int)，即通过描述符的方式获取了 ctype 属性的值。同样的道理，你也可以通过 descr.__set__(self, obj, val) 设置属性的值：
In [5]:
class Str:
def __init__(self, val):
self._val = val
def __get__(self, name, ctype=None):
print("You can __get__ anything from here!")
return self._val
def __set__(self, name, val):
print("You can __set__ anything to me!")
self._val = val
class Int:
ctype = Str("Class::Int")
def __init__(self, val):
self._val = val
a = Int(3)
print(a.ctype)
a.ctype = "Class::Float"
print(a.ctype)
将这些取值、赋值的操作转换为方法调用让我们有办法在做这些操作的过程中插入一些小动作，这么好用的东西自然是已加入豪华内置函数阵容，正是我们常见的
property()classmethod()staticmethod()property
property(fget=None, fset=None, fdel=None, doc=None) 方法简化了上面的操作：
In [6]:
class Int:
def __init__(self, val):
self._val = val
self._ctype = None
def get_ctype(self):
print("INFO: You can get `ctype`")
return self._ctype
def set_ctype(self, val):
print("INFO: You're setting `ctype` =", val)
self._ctype=val
ctype = property(fget=get_ctype, fset=set_ctype, doc="Property `ctype`")
a = Int(4)
print(a.ctype)
a.ctype = "Class::Int"
print(a.ctype)
显然，更方便一些的用法是将 property 当做修饰器：
In [7]:
class Int:
_ctype = None
def __init__(self, val):
self._val = val
@property
def ctype(self):
print("INFO: You can get `ctype` from me!")
return self._ctype
@ctype.setter
def ctype(self, val):
print("INFO: You're setting `ctype` =", val)
self._ctype = val
a = Int(5)
print(a.ctype)
a.ctype = "Class::Int"
print(a.ctype)
staticmethod & classmethod
顾名思义，property 是关于属性的全部操作，如果是要获取类中的方法，则需要用到 staticmethod 和 classmethod。顾名思义，staticmethod 将方法变成静态方法，即类和实例都可以访问，如果不用 staticmethod 我们可以用下面这种别扭的方法实现：
In [8]:
class Int:
def __init__(self, val):
self._val = val
def _get_ctype(self=None):
print("INFO: You can get `ctype` from here!")
return "Class::Int"
@staticmethod
def get_ctype():
print("INFO: You can get `ctype` from here!")
return "Class::StaticInt"
a = Int(6)
print(a._get_ctype())
print(Int._get_ctype())
print(a.get_ctype())
print(Int.get_ctype())
可以看到，静态方法与类和实例无关，也就不再（不能）需要 self 关键词；与之相反，当我们需要在方法中保留类（而非实例）的引用时，则需要用 classmethod：
In [9]:
class Int:
_ctype = ""
def __init__(self, val):
self._val = val
@classmethod
def set_ctype(klass, t):
klass._ctype = t
return "{}.ctype = {}".format(klass.__name__, t)
a = Int(7)
print(a.set_ctype("Class::Int"))
print(Int.set_ctype("Class::Float"))
b = Int(8)
print(b._ctype)
In [10]:
class Property(object):
"Emulate PyProperty_Type() in Objects/descrobject.c"
def __init__(self, fget=None, fset=None, fdel=None, doc=None):
self.fget = fget
self.fset = fset
self.fdel = fdel
if doc is None and fget is not None:
doc = fget.__doc__
self.__doc__ = doc
def __get__(self, obj, objtype=None):
if obj is None:
return self
if self.fget is None:
raise AttributeError("unreadable attribute")
return self.fget(obj)
def __set__(self, obj, value):
if self.fset is None:
raise AttributeError("can't set attribute")
self.fset(obj, value)
def __delete__(self, obj):
if self.fdel is None:
raise AttributeError("can't delete attribute")
self.fdel(obj)
def getter(self, fget):
return type(self)(fget, self.fset, self.fdel, self.__doc__)
def setter(self, fset):
return type(self)(self.fget, fset, self.fdel, self.__doc__)
def deleter(self, fdel):
return type(self)(self.fget, self.fset, fdel, self.__doc__)
class StaticMethod(object):
"Emulate PyStaticMethod_Type() in Objects/funcobject.c"
def __init__(self, f):
self.f = f
def __get__(self, obj, objtype=None):
return self.f
class ClassMethod(object):
"Emulate PyClassMethod_Type() in Objects/funcobject.c"
def __init__(self, f):
self.f = f
def __get__(self, obj, klass=None):
if klass is None:
klass = type(obj)
def newfunc(*args):
return self.f(klass, *args)
return newfunc