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Serial.print(' '); } if( digitalRead(7) == 1) { Serial.print(1023); } else { Serial.print(0); } Once all the samples have been sent to the host the program sends a carriage return so the program running on the host knows it's reached the end of a line and needs to process it. Serial.println(); }

The only drawback is the proliferation of the many overloaded create methods with a potentially long parameter list. This is especially visible when you want to support all the variations of the method parameters, from 1 to N parameters. There can be up to 2^N factory methods. This might not be a problem all the time, but when it is, there is a way around this. I call it the cumulative factory pattern: public static AServerInfo empty() { return new AServerInfo(null, null, null, null); } public final AServerInfo nameProvider(final NameProvider np) { return new AServerInfo(np, this.url, this.reset, this.shutdown); } The pattern introduces only one factory with minimal arguments, which creates a default implementation of the object, along with a set of cloning methods. The latter methods all take the state of the already existing instance, modify one of its aspects, and return the newly created instance that then has the new combined values, while leaving the original instance untouched. As a result, you are not bothered with parameters that are not important. Also, you can choose any combination of these methods, while keeping the amount of methods linear to the number of useful interfaces: inf = AServerInfo.empty().nameProvider(p).urlProvider(p).reset(p);

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(r'^links/( P<year>\d{4})/( P<month>\w{3})/( P<day>\d{2})/ ( P<slug>[-\w]+)/$', 'object_detail', link_info_dict, 'coltrane_link_detail'), ) urlpatterns += patterns('', (r'^categories/$', 'django.views.generic.list_detail.object_list', { 'queryset': Category.objects.all() }), (r'^categories/( P<slug>[-\w]+)/$', 'coltrane.views.category_detail'), ) urlpatterns += patterns('', (r'^tags/$', 'django.views.generic.list_detail.object_list', { 'queryset': Tag.objects.all() }), (r'^tags/entries/( P<tag>[-\w]+)/$', 'tagging.views.tagged_object_list', { 'queryset_or model': Entry, 'template_name': 'coltrane/entries_by_tag.html' }), (r'^tags/links/( P<tag>[-\w]+)/$', 'tagging.views.tagged_object_list', { 'queryset_or_model': Link, 'template_name': 'coltrane/links_by_tag.html' }), ) All together, you ve got four models, two dictionaries of keyword arguments for generic views and three sets of URL patterns that get added together to make up the final set. This makes it a bit tricky to follow exactly what s going on, so let s reorganize a bit. Inside the weblog application s directory, create a directory called urls, and inside it create five files: __init__.py (to signify that this will be a Python module) categories.py entries.py links.py tags.py What you re going to do is break up the mess you currently have into four logical groups of URL patterns, each inside its own file. From there, you ll be able to use include() directives to add any or all of these URL patterns to any site that happens to be using the weblog application. Let s look at how this breaks down in each file.

A normal analog read takes over 100 microseconds and even our high-speed version takes about 16 microseconds, but a digital read can be accomplished in under 1 microsecond. It's therefore preferable to use digital reads if you don't care about the shape of the waveform and only want to know if a pin you are testing is high or low. This version of the program operates in the same basic manner as the previous version and returns data in the same space-separated format with one value per input probe so that it's compatible with the same host software, but it samples much faster by doing only digital reads rather than analog reads. It's also optimized by using direct port manipulation rather than traditional Arduino-style calls to functions like digitalRead. The reason is that a simple function call like digitalRead(6) actually takes quite a few clock cycles to execute because what it does behind the scenes is: 1. 2. 3. Look up the Arduino pin number and convert it to the equivalent ATMega port number and pin number. Disable any PWM (pulse-width modulation) functionality that might be running on that pin. Read the pin.

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