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Now that you ve seen a generic class, let s look at generic classes in more detail and see how they are created and used. When you are creating and using your own regular, non-generic classes, there are two steps in the process: declaring the class and creating instances of the class. But generic classes are templates for classes, not actual classes so you must first construct actual class types from them. You can then create references and instances from these constructed class types. Figure 19-3 illustrates the process at a high level. If it s not all completely clear yet, don t worry each part will be covered in the sections that follow. 1. Declare a class, using placeholders for some of the types. 2. Provide actual types to substitute in for the placeholders. This gives you an actual class definition, with all the blanks filled in. 3. Create instances from the filled-in class definition.

Once you start using message queues, however, your entire approach toward service architecture may begin to experience a Copernican revolution Instead of thinking of complicated extension libraries as the natural way for different languages to interoperate, you will not be able to help but notice that your message broker of choice supports many different language bindings.

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Declaring a simple generic class is much like declaring a regular class, with the following differences: Place a matching set of angle brackets after the class name. Between the angle brackets, place a comma-separated list of the placeholder strings that represent the types, to be supplied on demand. These are called type parameters. Use the type parameters throughout the body of the declaration of the generic class to represent the types that should be substituted in. For example, the following code declares a generic class called SomeClass. The type parameters are listed between the angle brackets, and then used throughout the body of the declaration as if they were real types. Type parameters class SomeClass < T1, T2 > { Normally, types would be used in these positions. public T1 SomeVar = new T1(); public T2 OtherVar = new T2(); } Normally, types would be used in these positions. There is no special keyword that flags a generic class declaration. The presence of the type parameter list distinguishes a generic class declaration from a regular class declaration.

Why should a single thread of control on one processor, after all, have to wind its way through a web framework, then a database client, and then an imaging library, when you could make each of these components a separate client of the messaging broker and connect the pieces with language-neutral messages You will suddenly realize not only that a dedicated thumbnail service might be quite easy to test and debug, but also that running it as a separate service means that it can be upgraded and expanded without any disruption to your front-end web servers New servers can attach to the message queue, old ones can be decommissioned, and software updates can be pushed out slowly to one back end after another without the front-end clients caring at all The queued message, rather than the library API, will become the fundamental point of rendezvous in your application..

The first line of code is the most important in relation to using the block test harness to test your blocks. A call is made to an object called componentManager:

You cannot create class objects directly from a generic class. First, you need to tell the compiler what actual types should be substituted for the placeholders (the type parameters). The compiler takes those actual types and creates a template from which it creates actual class objects. To construct a class type from a generic class, list the class name and supply real types between the angle brackets, in place of the type parameters. The real types being substituted for the type parameters are called type arguments. Type arguments SomeClass< short, int >

And all of this can have a startling impact on your approach toward concurrency, especially where shared resources are concerned When all of your application s work and resources are present within a single address space containing dozens of Python packages and libraries, then it can seem like semaphores, locks, and shared data structures despite all of the problems inherent in using them correctly are the natural mechanisms for cooperation But message services offer a different model: that of small, autonomous services attached to a common queue, that let the queue take care of getting information namely, messages safely back and forth between dozens of different processes.

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