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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)

TextBoxWeatherText = userProfileHomePageSettingsWeather; TextBoxSportsText = userProfileHomePageSettingsSports; } } protected void ButtonSaveClick(object sender, EventArgs e) { UserProfile userProfile = UserProfileGetUserProfile(); userProfileFavoriteColor = TextBoxFavoriteColorText; userProfilePetsName = TextBoxPetsNameText; userProfileHomePageSettingsNews = TextBoxNewsText; userProfileHomePageSettingsWeather = TextBoxWeatherText; userProfileHomePageSettingsSports = TextBoxSportsText; userProfileSave(); } }

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)

would respond to the URL /users/tigers presumably to display all the tigers in our application For more details on such routing options, see the Rails Guides article on

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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

In the previous section, it was shown how the process of creating a class can be customized by defining a metaclass However, sometimes all you want to do is perform some kind of extra processing after a class is defined, such as adding a class to a registry or database An alternative approach for such problems is to use a class decorator A class decorator is a function that takes a class as input and returns a class as output For example:

The application services are an extension of the membership, role, and pro le services previously discussed These application services provide access into membership, roles, and pro les using a client-side API The power of these services is their tight integration and the reliance on the same server-based APIs that membership, roles, and pro les rely on Often working on an application, you will need to verify a user s role or temporarily log a user in to perform some task This was all possible before, but required a postback that made the effort much slower With application services, we can now perform these tasks without a postback; we just use the client-side proxies that come with the Microsoft AJAX Library

In this example, the register function looks inside a class for a _ _clsid_ _ attribute If found, it s used to add the class to a dictionary mapping class identifiers to class objects To use this function, you can use it as a decorator right before the class definition For example:

following_user_path(1) followers_user_path(1)

Here, the use of the decorator syntax is mainly one of convenience An alternative way to accomplish the same thing would have been this:

Although it s possible to think of endless diabolical things one might do to a class in a class decorator function, it s probably best to avoid excessive magic such as putting a wrapper around the class or rewriting the class contents

Authentication Service The authentication service is an extension of ASPNET membership on the client and provides a limited subset of the functionality of its server counterpart The functionality provided concentrates on logging a user in to and out of the site and determining whether the current user is logged in

arge Python programs are organized into modules and packages In addition, a large number of modules are included in the Python standard libraryThis chapter describes the module and package system in more detail In addition, it provides information on how to install third-party modules and distribute source code

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