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Suppose we have a list of Person objects in the people list We can sort the list by surnames like this: peoplesort(key=SortKey("surname")) If there are a lot of people there are bound to be some surname clashes, so we can sort by surname, and then by forename within surname, like this: peoplesort(key=SortKey("surname", "forename")) And if we had people with the same surname and forename we could add the email attribute too And of

course, we could sort by forename and then surname by changing the order of the attribute names we give to the SortKey functor Another way of achieving the same thing, but without needing to create a functor at all, is to use the operator module s operatorattrgetter() function For example, to sort by surname we could write: peoplesort(key=operatorattrgetter("surname")) And similarly, to sort by surname and forename: peoplesort(key=operatorattrgetter("surname", "forename")) The operator attrgetter() function returns a function (a closure) that, when called on an object, returns those attributes of the object that were speci ed when the closure was created Functors are probably used rather less frequently in Python than in other languages that support them because Python has other means of doing the same things for example, using closures or item and attribute getters

[ Team LiB ]

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Context managers allow us to simplify code by ensuring that certain operations are performed before and after a particular block of code is executed The behavior is achieved because context managers de ne two special methods, __enter__() and __exit__(), that Python treats specially in the scope of a with statement When a context manager is created in a with statement its __enter__() method is automatically called, and when the context manager goes out of scope after its with statement its __exit__() method is automatically called We can create our own custom context managers or use prede ned ones as we will see later in this subsection, the le objects returned by the built-in open() function are context managers The syntax for using context managers is this:

le in Listing 711 has two entries in the section one for each service Each service has a unique base address Note that each endpoint within each service has a blank address An endpoint with a blank address listens for incoming messages on the service s base address There can be, at most, one endpoint within a service that speci es a null address using the same URI scheme as the service s base address

The expression must be or must produce a context manager object; if the optional as variable part is speci ed, the variable is set to refer to the object returned by the context manager s __enter__() method (and this is often the context manager itself) Because a context manager is guaranteed to execute its exit code (even in the face of exceptions), context managers can be used to eliminate the need for finally blocks in many situations Some of Python s types are context managers for example, all the le objects that open() can return so we can eliminate finally blocks when doing le handling as these equivalent code snippets illustrate (assuming that process() is a function de ned elsewhere):

fh = None try: fh = open(filename) for line in fh: process(line) except EnvironmentError as err: print(err) finally: if fh is not None: fhclose()

try: with open(filename) as fh: for line in fh: process(line) except EnvironmentError as err: print(err)

When MIDlets are delivered to devices for execution, they are packaged in a MIDlet suite MIDlet suites provide a controlled way of downloading multiple MIDlets onto a device as well as support controlled sharing of data and resources between multiple, possibly simultaneously running MIDlets MIDlet suites will be discussed in detail in 19, "MIDlet Deployment" [ Team LiB ]

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