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I ve argued that an API consists of more than only the signatures and Javadoc. An API ranges from the entry-level tutorials all the way up to the functional behavior of the library at runtime. All these levels of an API are important. If even one of them is broken, end users are likely to suffer the consequences. If the entry level is high, users are discouraged even before they start. If the Javadoc is missing, they are unlikely to understand the individual API elements. If the runtime is broken, they ll complain and probably give up. However, one thing is more important than any of these things: all levels should be consistent with one another. One API level shouldn t promise something that another level of the API rejects. Indeed, if the project description promises heaven on earth and your users only find ruins, they are unlikely to be pleased. Tutorials are hard to get wrong, at least if they work. Tutorials at least guarantee that the code produced by following them will execute and do

Now let s set up some templates that will handle the different main areas of the blog. You ll want one each for entries, links, tags, and categories. You ll call the template for entries base_entries.html, and all you really need to do is extend the base template and fill in a couple of blocks: {% extends "base.html" %} {% block title %}| Entries{% endblock %} {% block bodyclass %}entries{% endblock %}

We wrap the analog reading in a call to the constrain() function, which sets lower and upper limits on the value and prevents it from returning values outside.

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os.writeInt(p); enterState(23); return p; } We can write a test when we start two threads and instruct one of them to stop at 22 and then let the second run and observe how it handles the case in which a file already exists but the port is not yet written. This approach worked well, and despite the concerns of some initial skeptics, we got about 90 percent of the behavior right before we integrated the first version. Yes, there was still more work to do and bugs to fix after that. However, because we had well-automated tests for the behavior we had implemented, our amoeba edge was well-formed. We had enough confidence to enable us to fix all the outstanding problems.

that range This way, if our TANK_EMPTY calibration value is set to, say, 123, and for some reason the system gets a reading of 119 at some point, the value will still be returned as 123 so it can t look like the tank has a negative depth sensorValue = constrain( analogRead( TANK_SENSOR ), TANK_EMPTY, TANK_FULL ); Because the reading will be between 1V and 3V it needs to be scaled using the TANK_EMPTY and TANK_FULL calibration factors defined earlier in the program Otherwise you ll get readings showing the tank still contains water when it s bone dry, or partly empty when it s actually overflowing To make the value more human-readable we also want to convert it to a percentage rather than a 0 to 1023 scale, so we ll take care of both those problems at once using the map() function.

As is to be expected, the 10 percent of random failures mentioned in the previous section cause more work than simply the next 10 percent of additional tests and fixes In fact, they have inspired this whole part of the book Dealing with failures that happen randomly from time to time, and usually on a computer that you don t own, requires more sophisticated tracking techniques The problem with parallel execution is that there is not much information to help anyone to analyze what is not working properly Existing methodology is either weak, missing, or just too concentrated on specific cases Debuggers are not ready to push debugged applications to their parallel limits To really move somewhere, people resort to the oldest solution: to println and logging This usually gives the best results.

The map() function lets you take a value in one range and convert it to the equivalent value in a different range For example, mapping a value of 255 from the range 0 1023 to the range 0 100 would return the value 25, because 255 is one-quarter of the way along the first range and 25 is one-quarter of the way along the second range This is perfect for converting an analog sample to a percentage using a line such as the following: tankLevel = map(sensorValue, TANK_EMPTY, TANK_FULL, 0, 100); However, we also want to factor in the calibration values defined previously The actual sensor value will only vary between the TANK_EMPTY and TANK_FULL values, not the full 0 to 1023 range, so we substitute those values for the first range in the mapping.

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