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Hopefully, the previous chapter and this one have given you a solid footing in a variety of Cocoa drawing techniques, including a variety of uses of Bezier curves, making your views interactive by using the mouse, and fairly painless animation with Core Animation. The scope of this book doesn t really allow us to delve any further into these topics, especially considering that where graphics and animation are concerned, the only limits are your own imagination! We ve given you the basic tools. If you want to do more with graphics, now it s your turn to dig deeper into the areas that interest you most, and see what you can do with the APIs that Cocoa gives you. That s where the fun really begins!

function initializeGame():Void { enemyChoice = choices[Mathfloor(Mathrandom() * choiceslength)]; playerChoice = ""; end_mc_visible = false; shootCount = 0; top_btnenabled = false; bottom_btnenabled = false; showButtons(); player_mcgotoAndStop(1); enemy_mcgotoAndStop(1); }

Most applications will need to deal with files stored on disk in one way or another. So far in this book, we really haven t dealt much with this topic (except for a bit of discussion about Core Data and its data stores), so let s remedy that right now. Cocoa actually includes several useful classes for dealing with files in a number of ways. There are classes that provide APIs mimicking operations the user can normally do in the Finder, and others that represent a file in an abstract way. Still other classes have built-in functionality for reading and writing files.

Congratulations, you ve finished another game!

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Several classes in Cocoa, such as NSString, NSData, NSArray, and NSDictionary, provide methods for reading data directly from a file, or writing their contents directly to a file, using just a string containing the full path to the relevant file. For instance, if you want to read the entire contents of a file into a string, you can do something as simple as this:

this chapter, you ll take everything you ve done with interactivity and build on it by creating a clock game In the clock game, your goal is to match the time on a big clock to the time on a smaller clock The game will allow you to rotate the clock hands by moving the Wii remote or mouse in a circular motion Depending on whether you are moving the mouse clockwise or counterclockwise, the hands on the clock will either move forward or backward If you d like to view the finished game at any time, the name of the file is clock_finalfla

This listing is certainly not exhaustive, but clearly illustrates the diversity and possible inconsistency of the research findings Most of these are limit studies making various idealized assumptions The real challenge is how to achieve these levels of ILP in realistic designs The purported limits are also not monotonic with respect to chronological order During the decade of the 1990s the debate on the limits of ILP replaced the RISC vs CISC debate of the 1980s [Colwell et al, 1985] This new debate on the limit of ILP is still not settled 1 A 2 1 Flynn's Bottleneck One of the earliest studies done at Stanford University by Tjadeaand Flynn i n l 9 7 0 concluded that theJLP for most programs is less ( than 2^ This limit has been informally referred to as Flynn's! bottleneckJThis study focused on instruction-level parallelism that can be found within basic block I boundaries Since crossing basic block boundaries involves crossing control depen- \ dences, which can be dependent on run-time data, it is assumed that the basic blocks must be executed sequentially Because of the small size of most basic_J blocks, typically the degree of parallelism found is less than 2 This result or Flynn's bottleneck has since been confirmed by several other studies One study in 1972 that confirmed this result was by Riseman and Foster [1972] However, they extended their study to examine the degree of ILP that can be achieved if somehow control dependences can be surmounted This study reported various degrees of parallelism that can be achieved if various numbers of control dependences can be overcome If the number of c o n t e l dependences that can be ojercomejs unlimited, then the limit of ILP is around^ LJhjsjitudy highlights the srrpmjjjjfluenc^ol^^ on the limits of ILP-

NSString *myString = [NSString stringWithContentsOfFile:@"/path/to/something" usedEncoding:NULL error:NULL];

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