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This appendix contains the application programming interface documentation in Almanac format for the CLDC For a description of this format, refer to "Almanac Legend" on page 356 Full CLDC javadocs with detailed comments are available in the CLDC Specification (see "Related Literature and Helpful Web Pages" on page xxv) or as part of the CLDC reference implementation software that can be downloaded from Sun's web site (http://wwwsuncom/software/communitysource/j2me/cldc/) [ Team LiB ]

Implementing Transactions (Operation Behavior)

We learned that object creation and initialization are separate operations and that Python allows us to control both, although in almost every case we only need to customize initialization We also learned that although it is always safe to return an object s immutable data attributes, we should normally only ever return copies of an object s mutable data attributes to avoid the object s internal state leaking out and being accidentally invalidated Python provides normal methods, static methods, class methods, and module functions We saw that most methods are normal methods, with class methods being occasionally useful Static methods are rarely used, since class methods or module functions are almost always better alternatives The built-in repr() method calls an object s __repr__() special method Where possible, eval(repr(x)) == x, and we saw how to support this When an eval()-able representation string cannot be produced we use the base class object__repr__() method to produce a non-eval()-able representation in a standard format Type testing using the built-in isinstance() function can provide some ef ciency bene ts, although object-oriented purists would almost certainly avoid its use Accessing base class methods is achieved by calling the built-in super() function, and is essential to avoid in nite recursion when we need to call a base class method inside a subclass s reimplementation of that method Generator functions and methods do lazy evaluation, returning (via the yield expression) each value one at a time on request and raising a StopIteration when (and if) they run out of values Generators can be used wherever an iterator is expected, and for nite generators, all their values can be extracted into a tuple or list by passing the iterator returned by the generator to tuple() or list() The object-oriented approach almost invariably simpli es code compared with a purely procedural approach With custom classes we can guarantee that only valid operations are available (since we implement only appropriate methods), and that no operation can put an object into an invalid state (eg, by using properties to apply validation) Once we start using object orientation our style of programming is likely to change from being about global data structures and the global functions that are applied to the data, to creating classes and implementing the methods that are applicable to them Object orientation makes it possible to package up data and those methods that make sense for the data This helps us avoid mixing up all our data and functions together, and makes it easier to produce maintainable programs since functionality is kept separated out into individual classes.

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This is a nicer way of testing that a given data item is in range than having to do two separate comparisons joined by logical and, as most other languages require It also has the additional virtue of evaluating the data item only once (since it appears once only in the expression), something that could make a

[ Team LiB ]

There are two scenarios commonly referred to as transactions Multistep business processes are long-running processes that typically span minutes, days, or months They could involve multiple organizations and human-based work ow Short-running transactions are business operations that typically complete in seconds and have few external dependencies Although they both have well-de ned interfaces and a deterministic work ow, they are fundamentally different animals WCF supports short-running transactions It does this by leveraging NET and Windows infrastructure for transactions running in a Microsoft-only environment and by leveraging WS-* standards transactions that span platforms Multistep business processes typically combine both automated and manual work ow They may take a few moments (for example, place an order) or a few months (for example, get a rebate) If a multistep process (for example, plan a business trip) fails part way through, earlier steps (for example, make a plane reservation) are undone by taking compensating steps (cancel the plane reservation) These transactions are best supported with a message broker or enterprise service bus such as BizTalk Server

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