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virtual methods. That s why I suggest the elimination of such classes from any good API. The first piece of advice, already discussed the section Make Everything Final in 5, is to use final classes. In fact, if you use final classes, you won t have any virtual methods to subclass. As a result, you won t need to deal with the Factorial problem. Surprisingly, the other solution preventing the confusion of interconnected virtual methods is to use Java interfaces. If you use Java interfaces, all the methods are virtual and abstract. In other words, they have no implementation, and they cannot be interconnected by the API. Obviously, this eliminates the Factorial problem as well. If final classes are acceptable, and if Java interfaces are also acceptable, the only source of inheritance confusion would be when the API contains nonfinal, noninterface types that is, classes or abstract classes with an implementation. If this is the problem, can it be avoided Can an abstract class be replaced with a combination of final classes and interfaces The answer is yes, and the trick is one of composition, which I ll discuss in the next section.

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You could also choose a profiler that profiles the raw code without considering the effect of the JIT compiler provided with the Mono implementations. An example of this is the OProfile application, which I ll provide a brief overview of next. What Is OProfile The OProfile application is an open-source system-wide profiler for Linux that allows you to profile raw code at a very low overhead and in a nonintrusive manner. This means it doesn t need to add instrumentation to the code to extract the required information; instead it uses the native performance indicators available to the CPU and therefore is highly accurate. For more information, see http://oprofile.sourceforge.net/news/. How Can I Use OProfile with Mono The first step to using OProfile is to use the Ahead Of Time compiler option, indicated by the flag --aot that compiles the application to native code, which can then be used by the OProfile application for profiling. For the HelloWorld application, the command line would look like this: mono --aot helloworld.exe This will invoke the native assembler and linker, resulting in a new shared object file that can be used by the OProfile application. The results of the executed commands and the generated files are shown in Figure 12-2.

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There is no single keyword like extends to use composition easily in common object-oriented languages. You always need to type a lot of code by hand to organize your data structures in a way that they delegate to one another. This might seem discouraging and sometimes is. However, if you look at the problem more closely, then it s clear the burden of additional manual work is mostly on the implementor of the composition structures, not on the users who make calls to it. Composition is a less-supported concept than inheritance, so it might seem a bit unnatural and hard to implement in an object-oriented language. However, it s not unnatural for users of an API. Remember that there is only one API writer and many readers. That means there is nothing wrong with spending more time designing a more correct API, while giving its users a chance to be more clueless than they would otherwise be able to be.

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Figure 12-2. Compiling using the Ahead-Of-Time compilation option You are now in a position to run the resulting executable using the OProfile profiling tool. Initializing OProfile The first step in being able to profile your code is to initialize the OProfile application using the following command line: opcontrol --no-vmlinux This informs the profiler to not capture performance data on the actual Linux kernel itself, although if you do want this information, it is possible to obtain it using the following command: opcontrol --vmlinux=/boot/vmlinux-`uname -r` However, it s worth pointing out that the preceding example requires you to point the profiler at the location of the vmlinux file. Starting OProfile Once the OProfile application has been initialized, you re then able to switch on the profiler by using this command: opcontrol --start At this point, you would execute the application or perform tasks that you want the profiler to capture. When finished, you must then stop the OProfile application.

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