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This example illustrates one of the major uses of metaclasses, which is that of inspecting and gathering information about class definitionsThe metaclass isn t changing anything about the class that actually gets created but is merely adding some additional checks In more advanced metaclass applications, a metaclass can both inspect and alter the contents of a class definition prior to the creation of the class If alterations are going to be made, you should redefine the _ _new_ _() method that runs prior to the creation of the class itselfThis technique is commonly combined with techniques that wrap attributes with descriptors or properties because it is one way to capture the names being used in the class As an example, here is a modified version of the TypedProperty descriptor that was used in the Descriptors section:

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class TypedProperty(object): def _ _init_ _(self,type,default=None): selfname = None selftype = type if default: selfdefault = default else: selfdefault = type() def _ _get_ _(self,instance,cls): return getattr(instance,selfname,selfdefault) def _ _set_ _(self,instance,value): if not isinstance(value,selftype): raise TypeError("Must be a %s" % selftype) setattr(instance,selfname,value) def _ _delete_ _(self,instance): raise AttributeError("Can't delete attribute")

In this example, the name attribute of the descriptor is simply set to NoneTo fill this in, we ll rely on a meta class For example:

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class TypedMeta(type): def _ _new_ _(cls,name,bases,dict): slots = [] for key,value in dictitems(): if isinstance(value,TypedProperty): valuename = "_" + key slotsappend(valuename) dict['_ _slots_ _'] = slots return type_ _new_ _(cls,name,bases,dict) # Base class for user-defined objects to use class Typed: # In Python 3, use the syntax _ _metaclass_ _ = TypedMeta # class Typed(metaclass=TypedMeta)

Indicate whether to buffer output By default, any content written to the output stream is immediately sent to the client Buffering allows content to be written before anything is actually sent back to the client, thus providing the servlet with more time to set appropriate status codes and headers or forward to another Web resource Set localization information , have fields representing HTTP

In this example, the metaclass scans the class dictionary and looks for instances of TypedProperty If found, it sets the name attribute and builds a list of names in slots After this is done, a _ _slots_ _ attribute is added to the class dictionary, and the class is constructed by calling the _ _new_ _() method of the type() metaclass Here is an example of using this new metaclass:

class Foo(Typed): name = TypedProperty(str) num = TypedProperty(int,42)

Although metaclasses make it possible to drastically alter the behavior and semantics of user-defined classes, you should probably resist the urge to use metaclasses in a way that makes classes work wildly different from what is described in the standard Python documentation Users will be confused if the classes they must write don t adhere to any of the normal coding rules expected for classes

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