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advance (though not to strncmp), this complexity is unnecessary; we know the counts are right so checking for the \O wastes time Third, s t r c h r is also complex, since it must look for the character and also watch for the \O byte that terminates the message For a given call to isspam, the message is fixed, so time spent looking for the \O is wasted since we know where the message ends Finally, although strncmp, s t r c h r , and s t r l e n are all efficient in isolation, the overhead of calling these functions is comparable to the cost of the calculation they will perform It's more efficient to do all the work in a special, carefully written version of s t r s t r and avoid calling other functions altogether These sorts of problems are a common source of performance trouble-a routine or interface works well for the typical case, but performs poorly in an unusual case that happens to be central to the program at issue The existing s t r s t r was fine when both the pattern and the string were short and changed each call, but when the string is long and fixed, the overhead is prohibitive With this in mind, s t r s t r was rewritten to walk the pattern and message strings together looking for matches, without calling subroutines The resulting implementation has predictable behavior: it is slightly slower in some cases, but much faster in the spam filter and, most important, is never terrible To verify the new implementation's correctness and performance, a performance test suite was built This suite included not only simple examples like searching for a word in a sentence, but also pathological cases such as looking for a pattern of a single x in a string of a thousand e's and a pattern of a thousand x's in a string of a single e, both of which can be handled badly by naive implementations Such extreme cases are a key part of performance evaluation The library was updated with the new s t r s t r and the sparn filter ran about 30% faster, a good payoff for rewriting a single routine Unfortunately, it was still too slow When solving problems, it's important to ask the right question Up to now, we've been asking for the fastest way to search for a textual pattern in a string But the real problem is to search for a large, fixed set of extual patterns in a long, variable string Put that way, s t r s t r is not so obviously the right solution The most effective way to make a program faster is to use a better algorithm With a clearer idea of the problem, it's time to think about what algorithm would work best The basic loop, f o r ( i = 0 ; i < npat; i++) i f (strstr(mesg, p a t [ i ] ) != NULL) return 1; scans down the message npat independent times; assuming it doesn't find any matches, it examines each byte of the message npat times, for a total of s t r l en (mesg) m p a t comparisons.

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This item is a grab bag of API design hints that don't quite deserve items of their own Taken together, they'll help make your API easier to learn and use and less prone to errors Choose method names carefully Names should always obey the standard naming conventions (Item 38) Your primary goal should be to choose names that are understandable and consistent with other names in the same package Your secondary goal should be to choose names consistent with the broader consensus, where it exists When in doubt, look to the Java library APIs for guidance While there are plenty of inconsistencies inevitable, given the size and scope of the libraries there is also consensus An invaluable resource is Patrick Chan's The Java Developers Almanac [Chan00], which contains the method declarations for every single method in the Java platform libraries, indexed alphabetically If, for example, you were wondering whether to name a method remove or delete, a quick look at the index of this book would tell you that remove was the obvious choice There are hundreds of methods whose names begin with remove and a small handful whose names begin with delete Don't go overboard in providing convenience methods Every method should pull its weight Too many methods make a class difficult to learn, use, document, test, and maintain This is doubly true for interfaces, where too many methods complicate life for implementors as well as for users For each action supported by your type, provide a fully functional method Consider providing a shorthand for an operation only when it will be used frequently When in doubt, leave it out Avoid long parameter lists As a rule, three parameters should be viewed as a practical maximum, and fewer is better Most programmers can't remember longer parameter lists If many of your methods exceed this limit, your API won't be usable without constant reference to its documentation Long sequences of identically typed parameters are especially harmful Not only won't the users of your API be able to remember the order of the parameters, but when they transpose parameters by mistake, their programs will still compile and run They just won't do what their authors intended There are two techniques for shortening overly long parameter lists One is to break the method up into multiple methods, each of which requires only a subset of the parameters If done carelessly, this can lead to too many methods, but it can also help reduce the method count by increasing orthogonality For example, consider the javautilList interface It does not provide methods to find the first or last index of an element in a sublist, both of which would require three parameters Instead it provides the subList method, which takes two parameters and returns a view of a sublist This method can be combined with the indexOf or lastIndexOf methods, each of which has a single parameter, to yield he desired functionality Moreover, the subList method can be combined with any other method that.

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