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The cat isn t interested in being owned or disowned, so it provides empty implementations of the contractual methods. We can define a dog, on the other hand, that slavishly remembers who its owner is, by continuing to hold a reference to its master after it has been disowned (some dogs are like that!):

One particularly useful mutable record is the general-purpose type of mutable reference cells, or ref cells for short. These often play much the same role as pointers in other imperative programming languages. You can see how to use mutable reference cells in the following example: > let cell1 = ref 1;; val cell1 : int ref > cell1;; val it : int ref = { contents = 1 } > !cell1;; val it : int = 1 > cell1 := 3;; val it : unit = () > cell1;; val it : int ref = { contents = 3 } > !cell1;; val it : int = 3 The key type is 'a ref, and its main operators are ref, !, and :=. The types of these operators are as follows: val ref : 'a -> 'a ref val (:=) : 'a ref -> 'a -> unit val (!) : 'a ref -> 'a These allocate a reference cell, read the cell, and mutate the cell, respectively. The operation cell1 := 3 is the key one; after this operation, the value returned by evaluating the expression !cell1 is changed. You can also use either the contents field or the Value property to access the value of a reference cell. Both the 'a ref type and its operations are defined in the F# library as a simple record data structure with a single mutable field: type 'a ref = { mutable contents: 'a } let (!) r = r.contents let (:=) r v = r.contents <- v let ref v = { contents = v }

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function Dog(name){ this.name=name; } Dog.prototype.assignOwner=function(person){ this.owner=person; } Dog.prototype.unassignOwner=function(person){ this.owner=person; }

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Both Cat and Dog objects are badly behaved implementations of Pet. They stick to the letter of the contract of being a pet, but they don t follow its spirit. In a Java or C# implementation, we would explicitly define a Pet interface, but that wouldn t stop implementations from breaching the spirit of the contract. In the real world of coding, object modelers spend a lot of time worrying about badly behaved implementations of their interfaces, trying to close off any loopholes that might be exploited. Let s play with the object model a bit. In the script below, we create three objects:

The type 'a ref is actually a synonym for a type Microsoft.FSharp.Core.Ref<'a> defined in this way.

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It is useful to know which data structures are mutable and which are not If a data structure can be mutated, then this will typically be evident in the types of the operations you can perform on that structure For example, if a data structure Table<'Key,'Value> has an operation like the following, then in practice you can be sure that updates to the data structure modify the data structure itself: val add : Table<'Key,'Value> -> 'Key -> 'Value -> unit That is, the updates to the data structure are destructive, and no value is returned from the operation; the result is the type unit, which is akin to void in C and many other languages.

First, we instantiate a Person (step 1):

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var jim=new Person("jim");

Likewise, the following member indicates the data structure is almost certainly mutable: member Add : 'Key * 'Value -> unit In both cases, the presence of unit as a return type is a sure sign that an operation performs some imperative side effects In contrast, operations on immutable data structures typically return a new instance of the data structure when an operation such as add is performed For example: val add : 'Key -> 'Value -> Table<'Key,'Value> -> Table<'Key,'Value> Or for example: member Add : 'Key * 'Value -> Table<'Key,'Value> As discussed in 3, immutable data structures are also called functional or persistent The latter name is used because the original table is not modified when adding an element.

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