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As you saw in 3, pattern matching is a powerful feature of F#. Pattern matching allows a programmer to specify that different computations are executed depending on the value being matched against. F# has a construct that allows pattern matching over .NET types. The rule to match a .NET type is formed with a colon and question mark operator (: ) followed by the name of the .NET type you want to match. Because it is impossible to have an exhaustive list of .NET types, you must always provide a default rule when pattern matching over .NET types: // a list of objects let simpleList = [ box 1; box 2.0; box "three" ] // a function that pattern matches over the // type of the object it is passed let recognizeType (item : obj) = match item with | : System.Int32 -> printfn "An integer" | : System.Double -> printfn "A double" | : System.String -> printfn "A string" | _ -> printfn "Unknown type" // iterate over the list of objects List.iter recognizeType simpleList Executing the preceding code produces the following results: An integer A double

class Cube(object):

The purpose then was to get a general idea of how big the user stories were, so everyone could have a sense of how much work was being requested The task-level estimates are much more detailed, and therefore more refined and granular But what should happen when there are more tasks to complete than signed up for or there are more individual task points available The answer has to do with balancing the iteration One of the fundamental goals of XP is keep the development team from overcommitting to the amount of work they can reasonably accomplish in the given time frame In the case where there are outstanding tasks, the customer will need to either split the user stories with partially assigned tasks or remove the user stories entirely from the iteration plan.

A string This example shows a function, recognizeType, that is designed to recognize three of the NET basic types via pattern matching This function is then applied to a list This function has a couple of noteworthy details First, the function takes an argument of the type obj, and you need to use a type annotation to make sure it does If you didn t use the type annotation, the compiler would infer that the function can take any type and would use type 'a This would be a problem because you cannot use pattern matching of this kind over F# s types, but only over NET types Second, the function s default case uses the underscore to ignore the value Once you recognize that a value is of a certain type, it s common to want to do something with that value.

def __init__(self, position, color): self.position = position self.color = color # Cube information num_faces = 6 vertices = [ (0.0, (1.0, (1.0, (0.0, (0.0, (1.0, (1.0, (0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0, 1.0), 1.0), 1.0), 1.0), 0.0), 0.0), 0.0), 0.0) ] # # # # # # front back right left top bottom # # # # # # front back right left top bottom

To use the value on the right side of a rule, you can use the as keyword followed by an identifier You can see this in the next example, where you rewrite recognizeType to include the value in the message that is printed when a type is recognized: // list of objects let anotherList = [ box "one"; box 2; box 30 ] // pattern match and print value let recognizeAndPrintType (item : obj) = match item with | : SystemInt32 as x -> printfn "An integer: %i" x | : SystemDouble as x -> printfn "A double: %f" x | : SystemString as x -> printfn "A string: %s" x | x -> printfn "An object: %A" x // interate over the list pattern matching each item List.

In the case where there are developers with additional tasks points available, the customer will need to add more user stories to the iteration plan Either way, the team is not allowed to exceed its allotted number of task points If the team members were allowed to do this, they would be effectively saying to the customer that they are knowingly accepting more work than they can accomplish in the given time frame It is never advisable to take this approach, even if you think you can accomplish the overallotment of tasks using overtime If something unexpected should come up during the iteration, and the team is already overexpended, you are most likely doomed in your attempt to successfully complete the iteration..