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ALF can be used to limit access that specific applications have in accessing network resources. In this chapter we spent a good amount of time looking at ALF. We first looked at configuring ALF from the System Preferences and then from the command line. We then switched into looking at a different firewall, which controls network access at a port level, meaning that all configurations per port are made for all applications. Given that there are no built-in graphical controls for ipfw, we only looked at configuring it from the command line; however, there are a number of third-party solutions that will allow you to configure ipfw without going to the command line. All of these changes are made on wireless and wired clients alike. Next, in 12, we will focus on those changes that you can make to your wireless configuration and wireless environment.

As with the earlier generateTicket function, the internal state for each object generated by the makeCounter function is hidden and accessible only via the published Peek and Poke methods The previous examples show how to combine let bindings with anonymous functions and object expressions You saw in 6 how let bindings can also be used in constructed class types For example, Listing 7-2 shows a constructed class type with private mutable state count and that publishes two methods: Next and Reset Listing 7-2 A Type for Objects with Encapsulated State type TicketGenerator() = // Note: let bindings in a type definition are implicitly private to the object // being constructed Members are implicitly public let mutable count = 0 member xNext() = count <- count + 1; count member x.

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variable intLoadFile to update the file count. If intLoadFile is less than the total files we are to load, we display our loading status by setting the innerHTML of our top layer divNews2 with our output string. If the file count is greater than or equal to the number of files in our array (and also the slideshow has not been started), then we can start the transitions. Before we can start the slideshow, we need to verify that we actually have data to show. We verify the data by checking the length of our formatted message array, arrayMessage. If there are no messages, we notify the user and exit the function by returning false. If there is data to display, we set bLoadedOnce to true and call the function ChangeView() after a slight pause in time. The slight pause allows the user to read any error messages that we may have encountered. As mentioned previously, if the loader encountered a problem with loading the XML document, it calls our function BuildError() (see listing 13.10).

This sets up communications with the accessory, but how do you process incoming and outgoing data The answer should be familiar. Remember setting delegate to self in the above code You set the stream delegate to self because in this file you create a routine stream:handleEven:eventCode that processes stream events.

Reset () = count <- 0 The variable count is implicitly private to the object being constructed and is hence hidden from outside consumers By default, other F# definitions are public, which means they re accessible throughout their scope Frequently, more than one item of state is hidden behind an encapsulation boundary For example, the following code shows a function makeAverager that uses an object expression and two local elements of state, count and total, to implement an instance of the object interface type IStatistic: type IStatistic<'T,'U> = abstract Record : 'T -> unit abstract Value : 'U let makeAverager(toFloat: 'T -> float) = let count = ref 0 let total = ref 00 { new IStatistic<'a,float> with member statRecord(x) = incr count; total := !total + toFloat x member stat.

// Product 1 interface IBags { string Material { get; } } // Concrete Product 1 class Bag<Brand> : IBag where Brand : IBrand, new( ) { private Brand myBrand; public Bag( ) { myBrand = new Brand( ); } public string Material { get { return myBrand.Material; } } }

Value = (!total / float !count) } The inferred types here are as follows: type IStatistic<'T,'U> = abstract Record : 'T -> unit abstract Value: 'U val makeAverager : ('T -> float) -> IStatistic<'T,float> The internal state is held in values count and total and is, once again, encapsulated..

Invocation request2 = new Invocation(); request2.setID("com.apress.king.imagestore"); request2.setType("image/tif"); request2.setAction(ContentHandler.ACTION_PRINT);

ITEM_ID IMAGE_NAME 1 1 1 Foo Image 1 Foo Image One Foo Image 2 FILENAME fooimage1.jpg fooimage1.jpg fooimage2.jpg

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