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let mailboxWorkflow (inbox: MailboxProcessor<_>) = // main loop to read from the message queue // the parameter "curr" holds the working data // the parameter "master" holds all values received let rec loop curr master = async { // read a message let! msg = inbox.Receive() match msg with | AddValue x -> let curr, master = x :: curr, x :: master // if we have over 100 messages write // message to the GUI if List.length curr > updatesCount then do runInGuiContext(fun () -> event.Trigger(curr)) return! loop [] master return! loop curr master | GetValues channel -> // send all data received back channel.Reply master return! loop curr master | Stop -> () } // stop by not calling "loop" loop [] [] // the mailbox that will be used to collect the data let mailbox = new MailboxProcessor<Updates<'a>>(mailboxWorkflow) // the API of the collector // add a value to the queue member w.AddValue (x) = mailbox.Post(AddValue(x)) // get all the values the mailbox stores member w.GetValues() = mailbox.PostAndReply(fun x -> GetValues x) // publish the updates event [<CLIEvent>] member w.Updates = event.Publish // start the collector member w.Start() = mailbox.Start() // stop the collector member w.Stop() = mailbox.Post(Stop) // create a new instance of the collector let collector = new Collector<int*int*Color>() // the width & height for the simulation let width, height = 500, 600

3 million pixels, or 13 megapixels, enough to create a high-quality image As a general rule, the more pixels there are on a screen, the higher quality the image Computer displays can also vary in the amount of colors they can generate The highest number of colors the typical home computer can display is 167 million, which is currently the most common setting for displays Each color also has a range of brightness, from full intensity to virtually black To put it into perspective, if you wanted to display every possible color on a monitor you would need a screen that is 4096 by 4096 pixels in size Let s write a small Python script to generate an image containing every possible color Listing 4-1 uses Pygame to create a large image with every possible color value.

// a form to display the updates let form = // the bitmap that will hold the output data let bitmap = new Bitmap(width, height, PixelFormat.Format24bppRgb) let form = new Form(Width = width, Height = height, BackgroundImage = bitmap) // handle the collectors updates even and use it to post collector.Updates.Add(fun points -> List.iter bitmap.SetPixel points form.Invalidate()) // start the collector when the form loads form.Load.Add(fun _ -> collector.Start()) // when the form closes get all the values that were processed form.Closed.Add(fun _ -> let vals = collector.GetValues() MessageBox.Show(sprintf "Values processed: %i" (List.length vals)) |> ignore collector.Stop()) form // start a worker thread running our fake simulation let startWorkerThread() = // function that loops infinitely generating random // "simulation" data let fakeSimulation() = let rand = new Random() let colors = [| Color.Red; Color.Green; Color.Blue |] while true do // post the random data to the collector // then sleep to simulate work being done collector.AddValue(rand.Next(width), rand.Next(height), colors.[rand.Next(colors.Length)]) Thread.Sleep(rand.Next(100)) // start the thread as a background thread, so it won't stop // the program exiting let thread = new Thread(fakeSimulation, IsBackground = true) thread.Start() // start 6 instances of our simulation for _ in 0 .. 5 do startWorkerThread() // run the form Application.Run form

Note Within a release, the team will deliver production-ready code in even shorter cycles called iterations. Iterations allow a team to break up a release into more manageable chunks. Iterations should be a consistent length (two weeks is a good iteration length). Iterations are discussed in detail in 4.

The script will take a couple of minutes to run, but when it is finished it will have saved an image file called allcolorsbmp, which you can open in an image viewer or web browser Don t worry about the details of Listing 4-1; we will cover the unfamiliar code in this chapter..

The output of this example is exactly the same as that of the previous example, and the code base follows largely the same pattern; however you can see a couple several important differences in the two examples Perhaps the most noticeable one is that mailbox is now wrapped in an object that provides a strongly typed interface The class you have created is called a Collector<'a>; its interface looks like this: type Collector<'a> = class new : updatesCount:int -> Collector<'a> member AddValue : x:'a -> unit member GetValues : unit -> 'a list member Start : unit -> unit member Stop : unit -> unit member Updates : IEvent<'a list> end The class is generic in terms of the type of values that it collects.