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Throughout the discussion of visitors, it has been assumed that the data structure is represented using classes that were, as far as possible, final. As a result, there would always be only one implementation of each element and the usage of runtime instanceof checks would be limited to one library. However, sometimes it s better not to use classes at all. The main reason for this is related to performance. Imagine that you create thousands or even millions of instances. Every byte counts and having one object instead of two can make a significant difference. For example, compilers and other language processors usually need to do more than create instances of model classes such as Number. They also need to keep additional associated information, such as the offset of the element in the text. To let the existing types be enhanced with new data without the overhead of delegation, you need to allow subclassing. This can also be useful if

What it actually does is take a photo, wait 300 seconds, take another photo (which itself takes 1/2 a second), wait 300 seconds, and so on Each cycle will therefore take just over 3005 seconds because the program doesn t subtract the time spent taking a photo from the delay between photos The result is that photos will tend to drift over time until they re no longer on neat intervals of 300 seconds, 600 seconds, 900 seconds, and so on Sure, in this example you don t really care about a 1/2 second drift, and even if you did care you could just code around the inaccuracy by figuring out how long each photo takes and then have the.

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Once you re developing applications with this sort of tight focus, you ll find that it s a lot easier to reuse them For example, a well-focused application is often a lot simpler to set up and install, because you usually don t have to worry about setting up large numbers of templates or keeping track of (and possibly training your site staff to use) lots of new data models You ll also find that it s much easier to adapt a tightly focused application when you run into new situations where you really do need to add a new feature or build in a little bit more flexibility, because you usually have less code to look through and edit, and it s usually organized in a fairly simple fashion Many extremely useful Django applications consist of only three or four short files of code.

Parallel behavior of programs and systems is one of the most difficult aspects to get right There doesn t seem to be a consistent theory or methodology for achieving deadlock-free programs Of course, there are solutions For example, it s difficult to deadlock with pure functional languages, such as Haskell However, for the rest of us those who work with more traditional languages such as Java the threat of deadlocks and improper synchronization is real Still, it s desirable to write multithreaded applications Modern computers come with multiple processors, or at least multiple cores If you need better performance, which is almost always the case, you cannot rely on single-threaded execution anymore It s difficult to create a deadlock-free application when you control all its sources In these in-house cases, you can enforce certain good habits and organize the whole application in a way that minimizes the likelihood of deadlocks.

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However, you can only know that there are no known deadlocks, not that there are no deadlocks at all The source code of a system that has been successfully deployed for a few years without a single deadlock is worth its price in gold Such sources are to be kept in a safe deposit box and modified only minimally and carefully However, we see the world from the point of view of a bulldozer We assemble our applications from big modular pieces provided by others We don t want to know, and in fact cannot know all the synchronization details hidden within each library We rely on the authors of the libraries to know what they are doing and to handle their synchronizations correctly Moreover, we believe that when we mix multiple libraries, they will fit together and continue to stay deadlock free.

on activity LED on focus relay on shutter relay the button for 1/2 second off activity LED off shutter relay off focus relay

Finally, you ll notice that you suddenly have a much easier time dealing with the real, specific problems your application is trying to solve When you re no longer maintaining large numbers of unrelated features in a single application, you re free to examine its particular problem domain in much greater detail and come up with much more thorough and flexible solutions A good real-world example of this would be to expand the simple user-signup system I used as an example (in 9) to teach you about Django s form-processing system It would be tempting to simply go from the basic signup form and view you looked at and start adding features that don t have as much to do with the process of user signups.

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