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When the AtomicList object is created we keep a reference to the original list and note whether shallow copying is to be used (Shallow copying is ne for lists of numbers or strings; but for lists that contain lists or other collections, shallow copying is not suf cient) Then, when the AtomicList context manager object is used in the with statement its __enter__() method is called At this point we copy the original list and return the copy so that all the changes can be made on the copy Once we reach the end of the with statement s scope the __exit__() method is called If no exception occurred the exc_type ( exception type ) will be None and we know that we can safely replace the original list s items with the items from the modi ed list (We cannot do selforiginal = selfmodified because that would just replace one object reference with another and would not affect the original list at all) But if an exception occurred, we do nothing to the original list and the modi ed list is discarded The return value of __exit__() is used to indicate whether any exception that occurred should be propagated A True value means that we have handled any exception and so no propagation should occur Normally we always return False or something that evaluates to False in a Boolean context to allow any exception that occurred to propagate By not giving an explicit return value, our __exit__() returns None which evaluates to False and correctly causes any exception to propagate Custom context managers are used in 11 to ensure that socket connections and gzipped les are closed, and some of the threading modules context managers are used in 10 to ensure that mutual exclusion locks are unlocked You ll also get the chance to create a more generic atomic contex manager in this chapter s exercises.

Descriptors are classes which provide access control for the attributes of other classes Any class that implements one or more of the descriptor special

Exposing the Metadata Exchange (MEX) Endpoint Metadata in WCF refers to the information that describes precisely how to communicate with a service Clients can request metadata from a running service to learn about their endpoints and the message formats that they

The devices and applications should be useful in situations where the user cannot pay full attention to the application For example, many cellular phones and other wireless devices are commonly operated with one hand while the user is walking, cooking, fishing, and so forth

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methods, __get__(), __set__(), and __delete__(), is called (and can be used as) a descriptor The built-in property() and classmethod() functions are implemented using descriptors The key to understanding descriptors is that although we create an instance of a descriptor in a class as a class attribute, Python accesses the descriptor through the class s instances To make things clear, let s imagine that we have a class whose instances hold some strings We want to access the strings in the normal way, for example, as a property, but we also want to get an XML-escaped version of the strings whenever we want One simple solution would be that whenever a string is set we immediately create an XML-escaped copy But if we had thousands of strings and only ever read the XML version of a few of them, we would be wasting a lot of processing and memory for nothing So we will create a descriptor that will provide XML-escaped strings on demand without storing them We will start with the beginning of the client (owner) class, that is, the class that uses the descriptor:

class Product: __slots__ = ("__name", "__description", "__price") name_as_xml = XmlShadow("name") description_as_xml = XmlShadow("description") def __init__(self, name, description, price): self__name = name selfdescription = description selfprice = price

The only code we have not shown are the properties; the name is a read-only property and the description and price are readable/writable properties, all set up in the usual way (All the code is in the XmlShadowpy le) We have used the __slots__ variable to ensure that the class has no __dict__ and can store only the three speci ed private attributes; this is not related to or necessary for our use of descriptors The name_as_xml and description_as_xml class attributes are set to be instances of the XmlShadow descriptor Although no Product object has a name_as_xml attribute or a description_as_xml attribute, thanks to the descriptor we can write code like this (here quoting from the module s doctests):

A WCF service is a collection of endpoints, where each endpoint has a unique address The endpoint address and binding de nes where and how

>>> product = Product("Chisel <3cm>", "Chisel & cap", 4525) >>> productname, productname_as_xml, productdescription_as_xml ('Chisel <3cm>', 'Chisel <3cm>', 'Chisel & cap')

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