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Every piece of F# code you write has a signature type. The inferred signature type for a piece of code is shown for every code fragment you enter into F# Interactive and can also be reported by using the F# command-line compiler, fsc.exe, with the -i option. For example, consider the following code, placed in an implementation file ticktock.fs: module Acme.TickTock type TickTock = Tick | Tock let ticker x = match x with | Tick -> Tock | Tock -> Tick You can now invoke the command-line compiler from a command-line shell: C:\Users\dsyme\Desktop> fsc -i ticktock.fs namespace Acme module TickTock = type TickTock = Tick | Tock val ticker : TickTock -> TickTock The inferred signature shows the results of type inference and takes into account other information such as accessibility annotations.

Inline debugging statements are considered by many to be a form of instrumentation. This includes code designed to track performance, data, user, client, and execution metrics. Instrumentation is usually implemented by placing statements in the code to display data values, warnings, errors, and so forth but may also be implemented using wrapper code that monitors the execution in a sandbox-like environment. One example of a software instrumentation suite is Pin by Intel. For more information about software instrumentation and Pin, see http://rogue.colorado.edu/Pin/docs/tutorials/AsplosTutorial.htm.

Note Qualifying object implementations by function parameters can be seen as a simple form of the OO design

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If you want, you can make the inferred types explicit by using an explicit signature type for each implementation file. The syntax used for explicit signature types is identical to the inferred types reported by F# Interactive or fsc.exe like those shown previously. If you use explicit signatures, they are placed in a signature file, and they list the names and types of all values and members that are accessible in some way to the outside world. Signature files should use the same root name as the matching implementation file with the extension .fsi. For example, Listing 7-10 shows the implementation file vector.fs and the explicit signature file vector.fsi.

There are two types of inline debugging statements. The first is concerned with inspection. Lines of code are added to present the state of memory or the value of variables. This type of debugging statement is used during development and is typically commented out or ignored using conditional compilation. The second concerns tracing the path of the system as it executes. This type of debugging statement can be used at any time and is usually enabled or disabled by a switch at runtime. Since the first type is familiar to most developers (most of us learned debugging this way), I ll discuss the second with an example.

pattern known as delegation, because parts of the implementation are delegated to the function values. Delegation is a powerful and compositional technique for reusing fragments of implementations and is commonly used in F# as a replacement for OO implementation inheritance.

Listing 7-10. A Signature File vector.fsi with Implementation File vector.fs Signature File vector.fsi: #light namespace Acme.Collections type SparseVector with new: unit -> SparseVector member Add: int * float -> unit member Item : int -> float with get Implementation File vector.fs: #light namespace Acme.Collections open System.Collections.Generic type SparseVector() = let elems = new SortedDictionary<int,float>() member v.Add(k,v) = elems.Add(k,v) member v.Item with get i = if elems.ContainsKey(i) then elems.[i] else 0.0 and set i v = elems.[i] <- v You can now invoke the command-line compiler from a command-line shell: C:\Users\dsyme\Desktop> fsc vector.fsi vector.fs Although signature files are optional, many programmers like using them, especially when writing a library framework, because the signature file gives a place to document and maintain the public interface to a component. There is, however, a cost to this: signatures duplicate names and some other information found in the implementation.

In this chapter, you ve seen how to define concrete types, such as Vector2D in Listings 6-2 and 6-3, and you ve seen how to define object interface types, such as IShape in Listing 6-5. Sometimes it s useful to define types that are halfway between these types: partially concrete types. Partially implemented types are class types that also have abstract members, some of which may be unimplemented and some of which may have default implementations. For example, consider the following class:

1. Personally, I don t believe in random intervals. Until computers can think for themselves, they are just machines following the instructions humans gave them.

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