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The implementation is provided by the orgapidesigncyclescrypt module that can refer to the Encryptor class As you can see, the cyclic compile-time dependency is avoided At runtime, both modules have to be present, because they cannot work independently An assert check in MutableArrayencrypt ensures that an implementation of the DoEncode facade is provided This is an important architectural restriction defining the execution environment for the modules Because our goal is the clueless assembly of individual modules into working units, it s highly desirable somehow to express such a dependency on a higher level, not just as an assert in the code The NetBeans Runtime Container allows you to specify the environment with needs/provides tags in the module manifests.

sampling the last two bits, there is a little bit of jitter in the voltage being tested and so they might fluctuate slightly even when reading a very consistent and accurately generated reference voltage The resolution on the analog inputs may be 10 bits, but they don't actually provide quite that much accuracy If you want to do analog reads at the highest possible speed at the expense of a little accuracy it's possible to force the ATMega CPU to apply a custom prescaler value to the ADC clock Because the ADC needs to perform a sequence of comparisons, the time it takes to complete an entire analog read is dependent on how quickly it can perform each individual step.

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Those can then easily be consumed and analyzed during application assembly, and the entire set of modules can be automatically verified for the consistency of its whole execution environment To demonstrate that in this example, the module with MutableArray should specify that it needs an implementation of the facade by adding the following line in its manifest: OpenIDE-Module-Needs: DoEncode.

The ATMega is rated to supply a clock rate of between 50KHz and 200KHz to its ADC depending on a combination of the overall CPU clock speed (16MHz on a typical Arduino) and the ADC prescaler factor The Arduino environment sets the prescaler factor to a value of 128 in the file hardware/cores/arduino/wiringc around line 231 This results in an ADC clock rate of 16MHz / 128 = 125KHz, which is well within the 50KHz to 200KHz range recommended by Atmel 125KHz is a fairly conservative ADC clock rate, though, and you can get massive ADC speed gains by pushing it closer to its operational limit.

from django.views.generic.list_detail import object_list def category_detail(request, slug): category = get_object_or_404(Category, slug=slug) return object_list(request, queryset=category.entry_set.all(), extra_context={ 'category': category })) Let s break down what s happening here: 1. You import the object_list generic view from django.views.generic.list_detail (the other things you ll be using, like the Category model and the get_object_or_404() shortcut, have already been imported inside the views.py file). 2. You define your view function, category_detail, to accept the HTTP request and a slug. 3. You use get_object_or_404() to either get the Category corresponding to the slug argument or return a 404 Not Found error. 4. You call the object_list generic view directly, passing along the HTTP request and setting its queryset argument to the set of entries in this specific category, and return the response directly. 5. You pass an extra argument, extra_context. Most of Django s generic views accept this argument, and it lets you specify extra variables and values to make available to the template. In this case, you re adding the Category object. In effect, you re wrapping the generic view up inside another view function that does some preliminary work to filter the eventual QuerySet it will use. Given how simple the original category_detail view was, this may seem like a strange way of doing things, and for this specific case it s probably not worth the effort of wrapping a generic view. But this is an extremely powerful pattern to keep in the back of your mind. There will be many times when you ll need something like a generic view, but with a little bit of extra filtering or processing. Using this sort of wrapper can, in more complex cases, often lead to a significant reduction in the amount of code you have to write by hand.

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