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You will often need to implement object members with a tail-recursive implementation. For example, consider the following list-like data structure: type Chain = | ChainNode of int * string * Chain | ChainEnd of string member chain.LengthNotTailRecursive = match chain with | ChainNode(_,_,subChain) -> 1 + subChain.LengthNotTailRecursive | ChainEnd _ -> 0 The implementation of the LengthNotTailRecursive is not tail recursive, simply because the addition 1 + applies to the result of the recursive property invocation. One obvious tailrecursive implementation uses a local recursive function with an accumulating parameter, as shown in Listing 8-9. Listing 8-9. Making an Object Member Tail Recursive type Chain = | ChainNode of int * string * Chain | ChainEnd of string // The implementation of this property is tail recursive. member chain.Length = let rec loop c acc = match c with | ChainNode(_,_,subChain) -> loop subChain (acc+1) | ChainEnd _ -> acc loop chain

If the field is a reference to a Csla.Core.IUndoableObject, the CopyState() call must be cascaded to that object, so that it can take its own snapshot: if (typeof(Csla.Core.IUndoableObject). IsAssignableFrom(field.FieldType)) { // make sure the variable has a value if (value != null) { // this is a child object, cascade the call ((Core.IUndoableObject)value).CopyState(); } } If an object were to reach into another object and manipulate its state, it would break encapsulation. Instead, it is up to that other object to manage its own state. By cascading the CopyState() call to the child object, it is up to that child object to take a snapshot of its own state. Keep in mind that if the child object is derived from BusinessListBase, the call will automatically be cascaded down to each individual child object in the collection.

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are tail recursive, except where noted in the documentation, and some of them have implementations that are specially optimized to take advantage of the implementation of the list data structure.

Of course, the GetValue() method returns everything as type object, so the result is casted to Csla. Core.IEditableObject in order to call the method.

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Later on, the methods to undo or accept any changes will work the same way that is, they ll cascade the calls to any child objects. This way, all objects handle undo without breaking encapsulation.

In the section, we consider tail-recursion problems that are much less common in practice but where it is important to know what techniques to apply should you require them. The techniques also illustrate some important aspects of functional programming, in particular an advanced technique called continuation passing. Tree-structured data is generally more difficult to process in a tail-recursive way than liststructured data. For example, consider the following tree structure: type Tree = | Node of string * Tree * Tree | Tip of string let rec sizeNotTailRecursive tree = match tree with | Tip _ -> 1 | Node(_,treeLeft,treeRight) -> sizeNotTailRecursive treeLeft + sizeNotTailRecursive treeRight The implementation of this function is not tail recursive. Luckily, this is rarely a problem, especially if you can assume that the trees are balanced. A tree is balanced when the depth of each subtree is roughly the same. In that case, a tree of depth 1,000 will have about 21000 entries. Even for a balanced tree of this size, the recursive calls to compute the overall size of the tree will not recurse to a depth greater than 1,000 not deep enough to cause stack overflow except when the routine is being called by some other function already consuming inordinate amounts of stack. Many data structures based on trees are balanced by design; for example, the Set and Map data structures implemented in the F# library are based on balanced binary trees. However, some trees can be unbalanced; for example, you can explicitly make a highly unbalanced tree: let rec mkBigUnbalancedTree n tree = if n = 0 then tree else Node("node",Tip("tip"),mkBigUnbalancedTree (n-1) tree) let let let let let let tree1 tree2 tree3 tree4 tree5 tree6 = = = = = = Tip("tip") mkBigUnbalancedTree mkBigUnbalancedTree mkBigUnbalancedTree mkBigUnbalancedTree mkBigUnbalancedTree

With a regular field, the code simply stores the field value into the Hashtable object, associating that value with the combined class name and field name:

10000 10000 10000 10000 10000

// this is a normal field, simply trap the value fieldName = field.DeclaringType.Name + "!" + field.Name; state.Add(fieldName, value); Note that these regular fields might actually be complex types in and of themselves. All that is known is that the field doesn t reference an editable business object, since the value didn t implement Csla.Core.IUndoableObject. It could be a simple value such as an int or string, or it could be a complex object (as long as that object is marked as [Serializable()]). Having gone through every field for every class in the object s inheritance hierarchy, the Hashtable will contain a complete snapshot of all the data in the business object.

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