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package { import com.actionscriptbible.Example; import flash.display.Loader; import flash.display.LoaderInfo; import flash.events.Event; import flash.net.URLRequest; public class ch20ex3 extends Example { public function ch20ex3() { var l:Loader = new Loader(); l.load(new URLRequest("http://actionscriptbible.com/files/roger.gif")); l.contentLoaderInfo.addEventListener(Event.COMPLETE, onLoadComplete); l.y = 30; addChild(l); } protected function onLoadComplete(event:Event):void { event.target.removeEventListener(Event.COMPLETE, onLoadComplete); trace("done loading, listener removed"); } } }



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When objects in the display list dispatch events, the events take on a more sophisticated behavior that you can take advantage of. Instead of being red directly from the dispatcher object, the event appears to come from every DisplayObject walking down from the Stage to the actual target that called dispatchEvent(). Then it s dispatched by the dispatcher itself, and nally it walks back the other way, appearing to come from the dispatcher s parent, then it s parent s parent, all the way back to the Stage again. This is called the event ow, and as strange as it may sound, it s a W3C recommendation for dealing with events.





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Figure 2.21: Merged paths causal and thereby reduce the number of random cases. Note also that only 1 in 26 of the random paths survive the first test, and many more vanish at later steps. Suppose we are in a random case and the first plaintext letter happens to encrypt to the first ciphertext letter. Then the probability that none of the 30 possible steps yields a match for the second letter is (25/26)" z 0.31, z and this holds for each subsequent letter. While the total number of paths increases, the number of distinct merged paths decreases; see Problems 31 and 32. The results in Table 2.7 illustrate typical numbers for the random case, while the results in Table 2.8 illustrate typical numbers for the causal case. For both cases, we have merged paths, as discussed above (and illustrated in Figures 2.20 and 2.21). Table 2.7 indicates that using 30 known plaintext letters, we expect only a fraction of about 0.000427 of the random cases to survive, and each of these survivors will have expanded to an average of about 16.5 paths, with a maximum for the cases tested of 84. In contrast, Table 2.8 shows that with 30 known plaintext letters, we expect the causal path to have generated about 29.6 consistent branches, with, for the 10.000 cases tested, a maximum of 151 and a minimum of one consistent path.

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To clarify the phrase objects in the display list, the event ow applies to DisplayObjects and their subclasses that are currently in a display list. That is, they have been added to another display object in the display list, or put another way, they can be found by walking down the display list from the stage. DisplayObjects that have been created but not added to the stage are not subject to the event ow.

Let Gn denote the geometric algebra of n dimensions this is a graded linear space. As well as vector addition and scalar multiplication, we have a noncommutative product which is associative and distributive over addition this is the geometric or Clifford product. A further distinguishing feature of the algebra is that any vector squares to give a scalar. The geometric product of two vectors a and b is written ab and can be expressed as a sum of its symmetric and antisymmetric parts: ab = a b + a b where the inner product a b and the outer product a b are defined by: 1 ab + ba 2 1 a b = ab ba 2 a b = (21.2) (21.3) (21.1)

Table 2.7: Random Case Steps 10 20 30 40 50 60 70 80 90 100 Average 6.5 11.8 16.5 20.8 28.4 38.8 47.1 71.3 77.6 100.5 Maximum 27 56 84 105 194 163 415 524 486 1005 Tests Nonzero 763 100,000 516 100,000 427 100,000 324 100,000 290 100,000 275 100,000 269 100,000 212 100,000 100,000 216 203 100.000

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