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The latter point may not be immediately self evident Presenting for your consideration, then, the following example:

.

If all three values were present in an entry, you could retrieve the third one with the following code:

class Outer<T>{ T t; class Inner { T setOuterT(T t1) {t = t1;return t;} } }

for handling directories and les and all of this is abstracted into platformindependent functions Examples were shown for creating a dictionary with lename keys and last modi ed timestamp values, and for doing a recursive search of a directory to identify possible duplicate les based on their name and size A large part of the library is devoted to networking and Internet programming We very brie y surveyed what is available, from raw sockets (including encrypted sockets), to TCP and UDP servers, to HTTP servers and support for the WSGI Also mentioned were the modules for handling cookies, CGI scripts, and HTTP data, and for parsing HTML, XHTML, and URLs Other modules that were mentioned included those for handling XML-RPC and for handling higher-level protocols such as FTP and NNTP, as well as the email client and server support using SMTP and client support for IMAP4 and POP3 The library s comprehensive support for XML writing and parsing was also mentioned, including the DOM, SAX, and element tree parsers, and the expat module And an example was given using the element tree module Mention was also made of some of the many other packages and modules that the library provides Python s standard library represents an extremely useful resource that can save enormous amounts of time and effort, and in many cases allows us to write much smaller programs by relying on the functionality that the library provides In addition, literally thousands of third-party packages are available to ll any gaps the standard library may have All of this prede ned functionality allows us to focus much more on what we want our programs to do, while leaving the library modules to take care of most of the details This chapter brings us to the end of the fundamentals of procedural programming Later chapters, and particularly 8, will look at more advanced and specialized procedural techniques, and the following chapter introduces object-oriented programming Using Python as a purely procedural language is both possible and practical especially for small programs but for medium to large programs, for custom packages and modules, and for long-term maintainability, the object-oriented approach usually wins out Fortunately, all that we have covered up to now is both useful and relevant in object-oriented programming, so the subsequent chapters will continue to build up our Python knowledge and skills based on the foundations that have now been laid.

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Another implication of the rules above is that a generic inner class of a raw type can itself only be used as a raw type:

name = resub(r"( P<forenames>\w+\ ( :\s+\w+\ )*)" r"\s+( P<surname>\w+)", r"\g<surname>, \g<forenames>", name)

LDAPEntrygetAttribute( "givenName", "lang-sp" );

class Outer<T>{ class Inner<S> { S s; } }

Here we have changed the forenames part of the regex (the rst line) The rst part of the forenames regex matches one or more word characters optionally followed by a period The second part matches at least one whitespace charac-

If the speci ed attribute does not exist in the entry, null is returned 3 getAttributeSet returns an LDAPAttributeSet object that represents all the attributes in this entry You can then call the getAttributes method of the LDAPAttributeSet to obtain an Enumeration on all the attributes in the entry:

it is not possible to access Inner as partially raw type (a "rare" type)

.

LDAPAttributeSet attrs = theEntrygetAttributeSet(); Enumeration enum_attrs = attrsgetAttributes(); //allows iterating //each one

OuterInner<Double> x = null; // illegal Double d = xs;

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