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By default, instances of custom classes support operator == (which always returns False), and are hashable (so can be dictionary keys and can be added to sets) But if we reimplement the __eq__() special method to provide proper equality testing, instances are no longer hashable This can be xed by providing a __hash__() special method as we have done here Python provides hash functions for strings, numbers, frozen sets, and other classes Here we have simply used the built-in hash() function (which can operate on any type which has a __hash__() special method), and given it the object s unique ID from which to calculate the hash (We can t use the private self__value since that can change as a result of augmented assignment, whereas an object s hash value must never change) The built-in id() function returns a unique integer for the object it is given as its argument This integer is usually the object s address in memory, but all that we can assume is that no two objects have the same ID Behind the scenes the is operator uses the id() function to determine whether two object references refer to the same object

Reliable Sessions Binding Class Binding Extension Con guration Element Support for exactly once and ordered delivery of SOAP messages

def __format__(self, format_spec): return format(self__value, format_spec)

2 Overview of Java 2 Platform, Micro Edition (J2ME )

The built-in format() function is only really needed in class de nitions It takes a single object and an optional format speci cation and returns a string with the object suitably formatted

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When printing the list or the lenames, print the item numbers using a eld width of 1 if there are less than ten items, of 2 if there are less than 100 items, and of 3 otherwise Keep the items in case-insensitive alphabetical order, and keep track of whether the list is dirty (has unsaved changes) Offer the Save option only if the list is dirty and ask the user whether they want to save unsaved changes when they quit only if the list is dirty Adding or deleting an item will make the list dirty; saving the list will make it clean again A model solution is provided in listkeeperpy; it is less than 200 lines of code

Earlier sections in this chapter demonstrated exposing services with the and bindings Each of these bindings is used to support speci c communication scenarios For example, the binding is optimized for communication between NET

Whereas functions allow us to parcel up pieces of code so that they can be reused throughout a program, modules provide a means of collecting sets of functions (and as we will see in the next chapter, custom data types) together so that they can be used by any number of programs Python also has facilities for creating packages these are sets of modules that are grouped together, usually because their modules provide related functionality or because they depend on each other This chapter s rst section describes the syntaxes for importing functionality from modules and packages whether from the standard library, or from our own custom modules and packages The section then goes on to show how to create custom packages and custom modules Two custom module examples are shown, the rst introductory and the second illustrating how to handle many of the practical issues that arise, such as platform independence and testing

Section 21 Java 2 Platform Section 22 Java 2 Platform, Micro Edition (J2ME) Section 23 Key Concepts of the J2ME Architecture Section 24 Evolution of the J2ME Platform [ Team LiB ]

The second section provides a brief overview of Python s standard library It is important to be aware of what the library has to offer, since using prede ned functionality makes programming much faster than creating everything from scratch Also, many of the standard library s modules are widely used, well tested, and robust In addition to the overview, a few small examples are used to illustrate some common use cases And cross-references are provided for modules covered in other chapters

A Python module, simply put, is a py le A module can contain any Python code we like All the programs we have written so far have been contained in a single py le, and so they are modules as well as programs The key difference

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