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Notice that we chose to always aggregate exceptions That is to say, even if a single exception happens, we still wrap it up inside an Agg regat e E xception object The reason is a bit subtle If code that uses the DoAll API wants to catch a particular kind of exception-like the I n s uff i c i e ntMemoryException shown earlier-it always needs to consider the aggregate exception case, since, even if we just rethrew the original exception when one occurred, it is always possible multiple exceptions might arise And so, if we only threw the single exception when it occurred, it would require two catch clauses

9

t ry { DoAl 1 ( ) ; c a t c h ( I n s uffi c i e n tMemory E x c e p t io n )

Summary

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*/

while if the probability is 75% that a bulb germinates, then P(X = x) = 15 (075)x (025)15 x x for x = 0, 1, 2, , 15

} c a t c h ( Aggregat e E x c e pt ion a e ) { fore a c h ( E x c e ption e in ae l n n e r E x c e pt i on s ) i f ( e i s I n s uffic ie ntMemory E x c eption ) / * h a n d l e it * / }

Even if you have successfully located and downloaded from a government website any of the publications and forms noted in this chapter, do not continue to rely upon them for very long The government regularly updates its publications and forms, so be sure to mark on the department activities calendar a date on which someone accesses the government sites to obtain annual updates Otherwise, a payroll manager may find herself working with outdated information that may result in government penalties or returned documents

This leads to massive code duplication Moreover, many people would not realize the need for the code duplication, leading to code that works under some circumstances (such as when one exception happens) but not others (such as when many happen) This is a kind of race condition There fore, I have chosen to always aggregate in the above example, and recom mend you always do the same in your own code

Impacts to Sequential Programming Models There are clear downsides to this approach too In fact, they are rather large The most obvious is the fun damental change to how exceptions are dealt with in your programs You can catch individual exceptions and handle them as usual But you must over catch, look for the right exception type in the I n n e r E x c e pt i o n s property and somehow decide whether to handle or repropagate individual exceptions within This feels unnatural Another more subtle impact is the change in method contracts In lan guages such as Java, where checked exceptions are pervasive, this impact is

We should rst consider the probabilities of all the possible outcomes from the experiment These are shown in Table 91 Table 91 Probabilities for Example 93 x 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 p = 050 00000 00004 00032 00139 00417 00916 01527 01964 01964 01527 00916 00417 00139 00032 00004 00000 p = 075 00000 00000 00000 00000 00001 00007 00034 00131 00393 00917 01651 02252 02252 01559 00668 00134

more obvious In C++ and C#, however, it is less obvious Imagine, for sake of discussion, that we have an existing B a z API in a VI library that may throw F oo E x c eption or B a r E xc e p t i o n Callers of B a z know that it can throw and have written code that wraps calls to it in try / catch blocks that deal with these particular exception types Then in V2 we decide to parallelize B a z If the two different exceptions are thrown from different parallel units of work inside of it, Ba z's contract with users has suddenly changed dramatically Now B a z might throw an Aggregate E xc eption containing one F ooExcept ion, one B a r E xc e pt ion, or both This is a breaking change and could cause com patibility issues When we release the new and improved B a z implementa tion, existing code now may not correctly deal with exceptions This is unfortunate One possible solution is to offer a new API, such as P a r a l l e l B a z or another overload of B a z This issue is yet another factor that drives people towards the solution to throw only the "first" exception that occurs