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let cleanup() = if not disposed then disposed <- true; file1.Dispose(); file2.Dispose(); interface System.IDisposable with member x.Dispose() = cleanup() member obj.CloseAll() = cleanup() member obj.GetLine() = if not file1.EndOfStream && (file2.EndOfStream or rnd.Next() % 2 = 0) then file1.ReadLine() elif not file2.EndOfStream then file2.ReadLine() else raise (new EndOfStreamException()) We can now instantiate, use, and dispose of this object as follows: > open System.IO;; > File.WriteAllLines("test1.txt", [| "Daisy, Daisy"; "Give me your hand oh do" |]);; val it : unit = () > File.WriteAllLines("test2.txt", [| "I'm a little teapot"; "Short and stout" |]);; val it : unit = () > let chooser = new LineChooser ("test1.txt", "test2.txt");; val chooser : LineChooser > chooser.GetLine();; val it : string = "Daisy, Daisy" > chooser.GetLine();; val it : string = "I'm a little teapot" > (chooser :> IDisposable).Dispose();; val it : unit = () > chooser.GetLine();; System.ObjectDisposedException: Cannot read from a closed TextReader. Disposal should leave an object in an unusable state, as shown in the last line of the previous example. It is also common for objects to implement a member with a more intuitive name that does precisely the same thing as its implementation of IDisposable.Dispose, which is CloseAll in Listing 8-6.

F# is a powerful language with relatively simple constructs. Learning the constructs of the language is easy, but learning how to use the constructs well takes a little more time. This chapter presents some of the common F# coding techniques you need as you work across multiple programming domains. These techniques are either applications of the constructs you ve encountered so far or relate to the foundational libraries that ship with F# and .NET.

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systems must also meet the timing requirements of the user These requirements mean embedded database systems are generally classified as reactive systems All but the most trivial applications that individuals and businesses use produce, consume, and store data Many applications have data that is well structured and has intrinsic value to the customer Indeed, in many cases the data is persisted automatically and the customer expects the data to be available whenever she needs it Such applications have as a subsystem either access methods or connectivity to external file or data-handling systems such as database servers Embedded systems that use files to access the data are faced with a number of problems, not the least of which is whether the data is accessible outside of the host application In this case, the access restrictions may have to be created from scratch or added as yet another layer in the system.

In 5, you saw a number of predefined generic operations, including generic comparison, equality, and hashing, accessed via functions such as those shown here: val val val val val val val val val compare : 'T -> 'T -> int when 'T : comparison (=) : 'T -> 'T -> bool when 'T : equality (<) : 'T -> 'T -> bool when 'T : comparison (<=) : 'T -> 'T -> bool when 'T : comparison (>) : 'T -> 'T -> bool when 'T : comparison (>=) : 'T -> 'T -> bool when 'T : comparison min : 'T -> 'T -> 'T when 'T : comparison max : 'T -> 'T -> 'T when 'T : comparison hash : 'T -> int when 'T : equality

If you are writing a component that explicitly wraps some kind of unmanaged resource, then implementing IDisposable is a little trickier. In Listing 8-7 we show the pattern that is used for this cleanup. Here we mimic an external resource via a data structure that generates fresh, reclaimable integer tickets. The idea is that customers will each be given an integer ticket, but this will be kept internal to the customer, and customers will return their ticket to the pool when they leave (that is, are disposed). Listing 8-7. Reclaiming Unmanaged Tickets with IDisposable open System type TicketGenerator() = let mutable free = [] let mutable max = 0 member h.Alloc() = match free with | [] -> max <- max + 1; max | h::t -> free <- t; h member h.Dealloc(n:int) = printfn "returning ticket %d" n free <- n :: free let ticketGenerator = new TicketGenerator() type Customer() = let myTicket = ticketGenerator.Alloc() let mutable disposed = false let cleanup() = if not disposed then disposed <- true ticketGenerator.Dealloc(myTicket) member x.Ticket = myTicket interface IDisposable with member x.Dispose() = cleanup(); GC.SuppressFinalize(x) override x.Finalize() = cleanup()

First, note that these are generic operations they can be used on objects of many different types. This can be seen by the use of 'T in the signatures of these operations. The operations take one or two parameters of the same type. For example, you can apply the = operator to two Form objects, or two System.DateTime objects, or two System.Type objects, and something reasonable happens. Some other important derived generic types such as the immutable (persistent) Set<_> and Map<_,_> types in the F# library also use generic comparison on their key type: type Set<'T when 'T : comparison> = ... type Map<'Key, 'Value when 'Key : comparison> = ... These operations and types are all constrained, in this case by the equality and/or comparison constraints. The purpose of constraints on type parameters is to make sure the operations are only used on a particular set of types. For example, consider equality and ordered comparison on a

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