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The last three lines of the module are the standard ones for modules that use the doctest module to check their doctests (Testing is covered more fully in 9) The CharGrid module has an important failing: It supports only a single character grid One solution to this would be to hold a collection of grids in the module, but that would mean that users of the module would have to provide a key or index with every function call to identify which grid they were referring to In cases where multiple instances of an object are required, a better solution is to create a module that de nes a class (a custom data type), since we can create as many class instances (objects of the data type) as we like An additional bene t of creating a class is that we should be able to avoid using the global statement by storing class (static) data We will see how to create classes in the next chapter

Python s standard library is generally described as batteries included , and certainly a wide range of functionality is available, spread over around two hundred packages and modules In fact, so many high-quality modules have been developed for Python over the years, that to include them all in the standard library would probably increase the size of the Python distribution packages by at least an order of magnitude So those modules that are in the library are more a re ection of Python s history and of the interests of its core developers than of any concerted or systematic effort to create a balanced library Also, some modules have proved very dif cult to maintain within the library most notably the Berkeley DB module and so have been taken out of the library and are now maintained independently This means many excellent third-party modules are available for Python that despite their quality and usefulness are not in the standard

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Serialization is the term often used to describe the process of converting an object graph into an array of bytes This is a very useful feature for representing the state of an object Serialization can be used to persist an object s state to a le or a database, copy an object to the clipboard, or transfer objects across a network to another application WCF does not follow the standard de nition of serialization, though WCF de nes serialization as the process of converting an object graph into an XML Information Set (XML Infoset) This de nition is not new, because ASPNET Web services followed this same approach The XML Infoset is the data model WCF uses internally to represent a message The class is a representation of an XML Infoset The XML Infoset is the data model for representing an XML document It is also the base abstraction from which the XML speci cation is derived Figure 61 shows the relationship of Extensible Markup Language (XML) to the XML Infoset

library (We will look at two such modules later on: the PyParsing and PLY modules that are used to create parsers in 14) In this section we present a broad overview of what is on offer, taking a thematic approach, but excluding those packages and modules that are of very specialized interest and those which are platform-speci c In many cases a small example is shown to give a avor of some of the packages and modules; cross-references are provided for those packages and modules that are covered elsewhere in the book

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The string module provides some useful constants such as stringascii_letters and stringhexdigits It also provides the stringFormatter class which we can subclass to provide custom string formatters The textwrap module can be used to wrap lines of text to a speci ed width, and to minimize indentation The struct module provides functions for packing and unpacking numbers, Booleans, and strings to and from bytes objects using their binary representations This can be useful when handling data to be sent to or received from lowlevel libraries written in C The struct and textwrap modules are used by the convert-incidentspy program covered in 7 The difflib module provides classes and methods for comparing sequences, such as strings, and is able to produce output both in standard diff formats and in HTML Python s most powerful string handling module is the re (regular expression) module This is covered in 13 The ioStringIO class can provide a string-like object that behaves like an in-memory text le This can be convenient if we want to use the same code that writes to a le to write to a string

midair=str(int(incidentmidair))) airport = xmletreeElementTreeSubElement(element, "airport") airporttext = incidentairportstrip() narrative = xmletreeElementTreeSubElement(element, "narrative") narrativetext = incidentnarrativestrip() rootappend(element) tree = xmletreeElementTreeElementTree(root)

XML Information Set (Second Edition)

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