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to a service, what if the message is actually sent to an intermediary for queuing or routing rather than the ultimate recipient endpoint Transportlevel security would ensure con dentiality up until the intermediary but not further After the intermediary, the client loses control of the con dentiality because encryption was used only until the intermediary By using message-level security, the intermediary can read header information but not the contents of the message Only the intended recipient, whose public key was used to encrypt the message, can decrypt the message with the corresponding private key and access its contents In this way, con dentiality is maintained end-to-end Like transport-level security, message-level security is based on X509 certi cates, though custom implementations are possible The service must have a certi cate installed so that a client can send an encrypted message to the service to initiate communication This is necessary when negotiating communication so that if credentials are required, those credentials are protected By default, most prede ned WCF bindings, with the exception of and , use message-level encryption This helps to ensure that default WCF communications are secure

list(filter(lambda x: x > 0, [1, -2, 3, -4])) # returns: [1, 3]

[x for x in [1, -2, 3, -4] if x > 0] # returns: [1, 3]

Each command has a type and a priority Command types and priorities allow the device to place the commands to match the native user interface style of the device, and the device might put certain types of commands in standard places For example, the "Go back" operation might always be mapped to the right softkey in a user interface style of a device The device may decide to map a command with the BACK type to the right softkey The Command class allows the application to communicate the abstract semantics of an action associated with a Command to the device so that action placements that are standard for that device can be used

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The filter() function can always be replaced with a generator expression or with a list comprehension Reducing involves taking a function and an iterable and producing a single result value The way this works is that the function is called on the iterable s rst two values, then on the computed result and the third value, then on the computed result and the fourth value, and so on, until all the values have been used The functools module s functoolsreduce() function supports this Here are two lines of code that do the same computation:

Authenticating with The uses message-level security It uses the WS-Security protocol to send the encrypted messages between client and service over the HTTP transport channel You do not need to con gure HTTPSYS or IIS to support SSL, because WS-Security enables secure communication on any protocol Because of this, the service endpoint and its MEX sibling can be on the same port, making secure IIS hosting very simple A potential disadis that because it uses port 80 rather than 443 for vantage of SSL, it can be more dif cult to use hardware-based encryption accelerators binding supports numerous methods for client The authentication The default is Windows authentication, but other options available include including None, Basic, and Certi cate

functoolsreduce(lambda x, y: x * y, [1, 2, 3, 4]) functoolsreduce(operatormul, [1, 2, 3, 4]) # returns: 24 # returns: 24

The operator module has functions for all of Python s operators speci cally to make functional-style programming easier Here, in the second line, we have used the operatormul() function rather than having to create a multiplication function using lambda as we did in the rst line Python also provides some built-in reducing functions: all(), which given an iterable, returns True if all the iterable s items return True when bool() is applied to them; any(), which returns True if any of the iterable s items is True; max(), which returns the largest item in the iterable; min(), which returns the smallest item in the iterable; and sum(), which returns the sum of the iterable s items Now that we have covered the key concepts, let us look at a few more examples We will start with a couple of ways to get the total size of all the les in list files:

[ Team LiB ]

functoolsreduce(operatoradd, (ospathgetsize(x) for x in files)) functoolsreduce(operatoradd, map(ospathgetsize, files))

Listing 813 shows being used to secure messages Note that only one base address is present, because an SSL channel isn t needed as it uses Windows is with transport-level security By default,

Using map() is often shorter than the equivalent list comprehension or generator expression except where there is a condition We ve used operatoradd() as the addition function instead of lambda x, y: x + y If we only wanted to count the py le sizes we can lter out non-Python les Here are three ways to do this:

functoolsreduce(operatoradd, map(ospathgetsize, filter(lambda x: xendswith("py"), files))) functoolsreduce(operatoradd, map(ospathgetsize, (x for x in files if xendswith("py")))) functoolsreduce(operatoradd, (ospathgetsize(x) for x in files if xendswith("py")))

Arguably, the second and third versions are better because they don t require us to create a lambda function, but the choice between using generator expres-

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authentication for transport security Therefore, this con guration would work well on an intranet where both client and service belong to the same Windows domain, but it will not work on the Internet or across untrusted Windows machines

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