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Figure 9-1. The order in which validation methods are applied to a Django form The order of validation goes like this: 1. First, full_clean() loops through the fields on the form. Each field class has a method named clean(), which implements that field s built-in validation rules, and each of these methods will either raise a ValidationError or return a value. If a ValidationError is raised, no further validation is done for that field (since the data is already known to be invalid). If a value is returned, it goes into the form s cleaned_data dictionary. 2. If a field s built-in clean() method didn t raise a ValidationError, then any available custom validation method a method whose name starts with clean_ and ends with the name of the field is called. Again, these methods can either raise a ValidationError or return a value; if they return a value it goes into cleaned_data. 3. Finally, the form s clean() method is called. It can also raise a ValidationError, albeit one that s not associated with any specific field. If clean() finds no new errors, it should return a complete dictionary of data for the form, usually by doing return self.cleaned_data. 4. If no validation errors were raised, the form s cleaned_data dictionary will be fully populated with the valid data. If there were validation errors, however, cleaned_data will not exist, and a dictionary of errors (self.errors) will be filled with validation errors. Each field knows how to retrieve its own errors from this dictionary, which is why you can do things like {{ form.username.errors }} in a template. 5. Finally, is_valid() either returns False if there were validation errors or True if there weren t.

This version of the function doesn t handle a CRC mismatch and just fails silently in that situation, but it could be extended to return TRUE or FALSE depending on the result so that the calling function knows if it succeeded or not. void params_load(void) { hostPrint(" * Loading default parameters "); params_t params_tmp; uint16_t crc, crc_calc; byte *p; eeprom_read_block((void*)¶ms_tmp, (void*)0, sizeof(params_t)); crc=eeprom_read_word((const uint16_t*)sizeof(params_t)); crc_calc=0; p=(byte*)¶ms_tmp; for(byte i=0; i<sizeof(params_t); i++) crc_calc+=p[i]; if(crc==crc_calc) params=params_tmp; hostPrintLn("[OK]"); } If you re used to working with larger systems with (relatively!) vast quantities of memory and a kernel that largely takes care of memory allocation for you, it can be easy to forget about the serious memory limitations in a microcontroller like the Arduino. The ATMega8 CPU has just 1KB of RAM available, the ATMega168 has 2KB, and the ATMega1280 has 8KB. This tiny amount of memory has to contain all the static variables defined in the program, the stack, and the heap (see Figure 15-33).

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Therefore, there is a way to detect them It s enough to override checkWrite(String file) and checkExec(String cmd) in your own security manager and register it We did exactly that When developers worked with their files without the use of the FileSystem API, we noted in the cache that this file, or even the whole cache, was potentially no longer accurate When, later in those circumstances, developers asked for such a FileObject, we did the refresh In this way, we managed to retain our performance improvements compatibly with previous behavior However, we were unable to use the trick with the security manager to solve the problem with one versus multiple virtual filesystems on Windows systems We decided to resolve to the compatible extension of the API We returned to the previous behavior, where one virtual filesystem represents all the drives We added a new method for a more optimal refresh.

Figure 15-33. CPU RAM allocation Static variables are placed into the bottom of the memory address space because their size is predictable at compile-time. The heap (used for dynamically allocated memory and things such as global variables and objects) starts just above the static region, and the position of the top of the heap is tracked using the heap pointer. The stack (used for variables allocated within functions and arguments in function calls) grows down from the top of the available RAM, and the position of the bottom of the stack is tracked using the stack pointer. If the heap growing up and the stack growing down ever meet in the middle, it means your program has run out of memory. In an unprotected system such as a microcontroller, very bad things can happen, such as variables changing value for no apparent reason and functions failing to return. At the

Then we identified all the places that caused excessive refreshes and modified them to use the new method The old API stayed compatible, while simultaneously performance was enhanced Was this a happy ending Yes, probably Behavior is again compatible, while performance is improved The only remaining irritant is our bad reputation Recently, I was sitting in a meeting with a senior executive of a group building on top of the NetBeans Platform I listened to his complaints about the need for stability and compatibility Some time ago, he said, our whole system was completely broken by some of your changes Of course, I immediately knew what he was talking about.

very least, the program will behave strangely and you can waste a lot of time trying to figure out where you made a mistake in your code, when technically the code itself is correct and the problem is just that it ran out of memory Every time one function calls another, the CPU has to push a number of items onto the stack so that it can reinstate the original calling function after the child exits As functions return to their caller, the stack shrinks again When working on a complex sketch that has lots of functions calling each other, it can therefore be very handy to be able to keep track of how much space is left in free memory, so you know how close to danger you are The OBDuinoMega sketch includes a small function called memoryTest() that returns the number of bytes currently free in RAMI.

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