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The types inferred for the code in Listing 13-2 are as follows: type IterativeBackgroundWorker<'state> = new : ('state -> 'state) * 'state * int -> IterativeBackgroundWorker<'state> member RunWorkerAsync : unit -> unit member CancelAsync : unit -> unit member member member member ProgressChanged WorkerCompleted WorkerCancelled WorkerError : : : : IEvent<int * 'state> IEvent<'state> IEvent<unit> IEvent<exn>

These conversions are all unchecked in the sense that they won t raise exceptions. Again, the Microsoft.FSharp.Core.Operators.Checked module has corresponding definitions of these operators. An alternative is to use the .NET static methods contained in the type System.Convert, such as System.Convert.ToDouble( ). These do perform checking, which means they raise an exception if the source number can t be represented within the numeric range of the target type. As with many .NET constructs, uses of System.Convert methods may require type annotations to resolve overloading, discussed further in s 5 and 6.

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MySQL AB has provided an example UDF project that contains samples of all the types of functions you may want to create. This provides an excellent starting point for adding your own functions. The sample functions include the following: A metaphon function that produces a soundex-like operation on strings A sample function that returns a double value that is the sum of the character code values of the arguments divided by the sum of the length of all the arguments A sample function that returns an integer that is the sum of the lengths of the arguments A sequence function that returns the next value in a sequence based on the value passed An example aggregate function that returns the average cost from the list of integer arguments (quantity) and double arguments (cost) Depending on your needs, you may find some of these examples useful. Let s begin by copying the example UDF project. Create a new folder named expert_udf in the root of your source code directory. Locate the udf_example.cc file located in the /examples/ udf_example directory off the root of your source code tree and copy the file to the expert_udf directory. Rename the file expert_udf.cc.

Let s take a look at this signature first, because it represents the design of the type. The worker constructor is given a function of type 'state -> 'state to compute successive iterations of the computation, plus an initial state and the number of iterations to compute. For example, you can compute the Fibonacci numbers using the following iteration function: let fibOneStep (fibPrevPrev:bigint,fibPrev) = (fibPrev, fibPrevPrev+fibPrev);; The type of this function is as follows:

When used with numeric values, the binary comparison operators =, <>, <, <=, >, >=, min, and max perform comparisons according to the natural ordering for each particular numeric type. You can also use these operators on other data types, such as to compare lists of integers, and you can customize their behavior for new types you define. 5 discusses generic comparison in detail, and 8 discusses customizing generic comparison. When used with floating-point values, these operators implement the IEEE semantics for NaN (Not a Number) values. For example, (NaN = NaN) is false, as are (NaN <= NaN) and (NaN < NaN).

Note Some distributions of the MySQL source code may place these files in the /sql directory. If that is

The RunWorkerAsync and CancelAsync members follow the BackgroundWorker design pattern, as do the events, except that we have expanded the RunWorkerCompleted event into three events to correspond to the three termination conditions and modified the ProgressChanged to include the state. You can instantiate the type as follows: > let worker = new IterativeBackgroundWorker<_>( fibOneStep,(1I,1I),100);; val worker : IterativeBackgroundWorker<bigint * bigint> > worker.WorkerCompleted.Add(fun result -> MessageBox.Show(sprintf "Result = %A" result) |> ignore);; val it : unit = () > worker.ProgressChanged.Add(fun (percentage, state) -> printfn "%d%% complete, state = %A" percentage state);; val it : unit = () > worker.RunWorkerAsync();; 1% complete, state = (1I, 1I) 2% complete, state = (1I, 2I) 3% complete, state = (2I, 3I) 4% complete, state = (3I, 5I) ...

The module Microsoft.FSharp.Core.Operators includes the definition of a number of useful overloaded math operators. These are shown in Table 3-5 and are overloaded either on a suitable range of integer types or on the basic floating-point types.

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