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exported API to other modules, while others are private and cannot be accessed from the outside. Moreover, a module has a set of dependencies on other modules, clearly stating on a high level the functional environment required for execution. Of course, within a module you can still apply the worst coding practices. Nevertheless, an application s architecture can be well observed by checking the dependencies among all its modules. If one module doesn t have a dependency on another, it s clear that its classes cannot directly access those in another module. This serves to clean up the architecture significantly, because it prevents accidental GOTOs between unrelated parts of the code. Some developers claim their application is too small to benefit from a modular architecture. Well, it might be too small right now, but if it s not simply a student project, it will almost certainly evolve. As it evolves, it s likely to grow. Rewriting a messy and interconnected application to use a nicer modular design is often such a complex task that many are not willing even to try it. Instead, they prefer living with the old, monolithic code that is harder to maintain, but known to work. For an example, take a look at the JDK! Classes from the java.lang packages implement interfaces from the java.io packages, and sometimes from the java. util packages. Moreover, everything is wired with the sun.* packages. It s nearly impossible to imagine someone splitting the JDK into modular parts that are not mutually interconnected in vicious circles. This is a natural result of the JDK having been coded in the spaghetti objectoriented style.

The second trick is the use of the volatile keyword when declaring the pulseCount variable The volatile keyword isn't technically part of the program itself: it's a flag that tells the compiler to treat that particular variable in a special way when it converts the source code you wrote into machine code for the Arduino's ATMega CPU to execute A "volatile" variable is one whose value may change at any time without any action taken by the code near it Compilers are designed to optimize code to be as small and fast as possible, so they use techniques such as finding variables that are not modified within the code and then replacing all instances of that variable with a literal value Normally that's exactly what you want, but sometimes the compiler optimizations trip up on situations that aren't quite what it's expecting.

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My first encounter with the term cluelessness dates to October 2006 when I heard a presentation at the OOPSLA conference in Portland, Oregon. Martin Rinard, an invited speaker at that conference, had a controversial, yet inspiring talk called Minimizing Understanding in the Construction and Maintenance of Software Systems. He provided the observation that the human brain is finite and can handle only a limited amount of data. If the goal is to build larger and larger applications, we need to learn how to do it while knowing just limited amounts of them. His talk outlined three directions to explore: Program verification System engineering Living with errors In his presentation he then continued to explore how to make a program acceptable while having some errors in it. Indeed, it was a horrible vision for those who love truth, beauty, and elegance; however, an acceptable compromise for those who try to produce real software systems. Although I liked Mr. Rinard s introduction very much and I agree with his conclusions with respect to errors, this book will now concentrate on system engineering and, to an extent, program verification. However, learning how to reach as much cluelessness as possible, while still producing reliable systems, will still be a tempting and desirable goal.

help_text='The URL of the site where you spotted the link. Optional.') You can also add a default ordering by the pub_date field and activate the admin interface class Meta: ordering = ['-pub_date'] class Admin: pass and a __unicode__() method so that each Link will have a useful string representation. Just as with entries, you ll use the title field for this: def __unicode__(self): return self.title And finally, you ll add a customized save() method, which needs to do two things: If anything was filled in for the description field, run Markdown over it and store the result in the description_html field. If the post_elsewhere field is True and this is the first time the link is being saved, post it to del.icio.us as well. The first part is easy, and you can handle it in much the same way as you did the optional excerpt on entries: def save(self): if self.description: self.description_html = markdown(self.description) super(Link, self).save() The second part is a bit trickier. You ll need some way of communicating with the public link-posting API del.icio.us provides. Fortunately, there s an open source Python module available that can do this. It s called pydelicious and can be downloaded at http://code.google. com/p/pydelicious/.

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