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The built-in staticmethod() function is designed to be used as a decorator as we have done here Static methods are simply methods that do not get self or any other rst argument specially passed by Python The & operator can be chained, so given FuzzyBool s f, g, and h, we can get the conjunction of all of them by writing f & g & h This works ne for small numbers of FuzzyBools, but if we have a dozen or more it starts to become rather inef cient since each & represents a function call With the method given here we can achieve the same thing using a single function call of FuzzyBoolFuzzyBoolconjunction(f, g, h) This can be written more concisely using a FuzzyBool instance, but since static methods don t get self, if we call one using an instance and we want to process that instance we must pass it ourselves for example, fconjunction(f, g, h) We have not shown the corresponding disjunction() method since it differs only in its name and that it uses max() rather than min() Some Python programmers consider the use of static methods to be un-Pythonic, and use them only if they are converting code from another language (such as C++ or Java), or if they have a method that does not use self In Python, rather than using static methods it is usually better to create a module function instead, as we will see in the next subsubsection, or a class method, as we will see in the last section In a similar vein, creating a variable inside a class de nition but outside any method creates a static (class) variable For constants it is usually more convenient to use private module globals, but class variables can often be useful for sharing data among all of a class s instances We have now completed the implementation of the FuzzyBool class from scratch We have had to reimplement 15 methods (17 if we had done the minimum of all four comparison operators), and have implemented two static methods In the following subsubsection we will show an alternative implementation, this time based on the inheritance of float It involves the reimplementations of just eight methods and the implementation of two module functions and the unimplementation of 32 methods In most object-oriented languages inheritance is used to create new classes that have all the methods and attributes of the classes they inherit, as well as the additional methods and attributes that we want the new class to have Python fully supports this, allowing us to add new methods, or to reimplement inherited methods so as to modify their behavior But in addition, Python allows us to effectively unimplement methods, that is, to make the new class behave as though it does not have some of the methods that it inherits Doing this might not appeal to object-oriented purists since it breaks polymorphism, but in Python at least, it can occasionally be a useful technique.

One really simple way to do this is to execute the examples in the docstrings and make sure that they produce the expected results This can be done by adding just three lines at the end of the module s py le:

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Concurrency is a measure of how many tasks can be performed simultaneously and is measured in tasks (requests, jobs, transactions, and the like) Execution time is a measure of how long it takes a task to complete and is measured in time (milliseconds, seconds, and so on) Throughput is the measure of how many tasks are completed within a xed time and is reported as tasks/time (requests/second, transactions/minute, and so on) Throughput is a function of concurrency and execution time There are two ways to increase throughput: either decrease execution time or increase concurrency Decreasing the execution time for an individual task can be accomplished by either changing the task s internal algorithm or by adding additional hardware resources, so there s not much WCF can do about this Concurrency can be increased by executing tasks in parallel WCF has two behaviors available for controlling concurrency: and service behavior is used to control instancing The and can be set to one of three values: Single One instance of the service class handles all incoming requests This implements a singleton PerCall One instance of the service class is created per incoming request

if __name__ == "__main__": import doctest doctesttestmod()

The application management software in a MIDP implementation consists of those pieces of software on the device that provide a framework in which MIDlet suites are installed, updated, removed, started, stopped, and in general, managed Furthermore, the application management software provides MIDlets with the runtime environment discussed in Section 1914, "MIDlet Suite Execution Environment" [ Team LiB ]

Whenever a module is imported Python creates a variable for the module called __name__ and stores the module s name in this variable A module s name is simply the name of its py le but without the extension So in this example, when the module is imported __name__ will have the value "TextUtil", and the if condition will not be met, so the last two lines will not be executed This means that these last three lines have virtually no cost when the module is imported Whenever a py le is run Python creates a variable for the program called __name__ and sets it to the string "__main__" So if we were to run TextUtilpy as though it were a program, Python will set __name__ to "__main__" and the if condition will evaluate to True and the last two lines will be executed The doctesttestmod() function uses Python s introspection features to discover all the functions in the module and their docstrings, and attempts to execute all the docstring code snippets it nds Running a module like this produces output only if there are errors This can be disconcerting at rst since it doesn t look like anything happened at all, but if we pass a command-line ag of -v, we will get output like this:

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